Changeset e0350e0 for doc/theses

Timestamp:

Jun 4, 2025, 1:43:34 PM (6 months ago)

Author:

Michael Brooks <mlbrooks@…>

Branches:

master

Children:

f858ca5

Parents:

c8bdbaf

Message:

Recent rework of string benchmarks

Location:

doc/theses/mike_brooks_MMath

Files:

• Makefile (modified) (1 diff)
• background.tex (modified) (3 diffs)
• benchmarks/string/.gitignore (modified) (1 diff)
• benchmarks/string/Makefile (modified) (10 diffs)
• benchmarks/string/gen-size-steps.py (added)
• benchmarks/string/make-corpus.cfa (modified) (4 diffs)
• benchmarks/string/prog-allocn.cfa (modified) (1 diff)
• benchmarks/string/result-allocate-attrib-cfa.ssv (modified) (1 diff)
• benchmarks/string/result-allocate-attrib-stl.ssv (modified) (1 diff)
• benchmarks/string/result-allocate-space-cfa.ssv (modified) (1 diff)
• benchmarks/string/result-allocate-space-stl.ssv (modified) (1 diff)
• benchmarks/string/result-allocate-speed-cfa-NOSEPCOMP.csv (added)
• benchmarks/string/result-allocate-speed-cfa.csv (modified) (1 diff)
• benchmarks/string/result-allocate-speed-stl.csv (modified) (1 diff)
• benchmarks/string/result-append-pbv.csv (modified) (1 diff)
• benchmarks/string/string-length-summary.py (added)
• plots/common.py (modified) (2 diffs)
• plots/string-allocn-attrib-meta.dat (added)
• plots/string-allocn-attrib.py (modified) (3 diffs)
• plots/string-allocn.gp (modified) (6 diffs)
• plots/string-allocn.py (modified) (4 diffs)
• plots/string-pbv-fixcorp.py (modified) (2 diffs)
• plots/string-pbv-varcorp.py (modified) (2 diffs)
• plots/string-pbv.gp (modified) (1 diff)
• plots/string-peq-cppemu.gp (modified) (1 diff)
• plots/string-peq-cppemu.py (modified) (2 diffs)
• plots/string-peq-sharing.gp (modified) (1 diff)
• plots/string-peq-sharing.py (modified) (2 diffs)
• plots/string-pta-sharing.gp (modified) (1 diff)
• plots/string-pta-sharing.py (modified) (2 diffs)
• string.tex (modified) (5 diffs)

doc/theses/mike_brooks_MMath/Makefile

@@ -95 +95 @@
 -include $(Plots)/*.d
 
-${Build}/plot-%.dat: ${Plots}/%.py ${Plots}/%.py.INPUTS | ${Build}
+${Build}/plot-%.dat: ${Plots}/%.py ${Plots}/common.py ${Plots}/%.py.INPUTS | ${Build}
         python3 $< > $@
 

doc/theses/mike_brooks_MMath/background.tex

@@ -99 +99 @@
 Unfortunately, \CFA cannot correct these operator priority inversions without breaking C compatibility.
 
+TODO: rephrase to acknowledge the "clockwise rule" https://c-faq.com/decl/spiral.anderson.html
+
 The alternative solution is for \CFA to provide its own type, variable and routine declarations, using a more intuitive syntax.
 The new declarations place qualifiers to the left of the base type, while C declarations place qualifiers to the right of the base type.
@@ -618 +620 @@
 This type is fully meaningful in the sense that its description does not contain any information that the type system ignores, and the type appears the same in the caller's \vs callee's perspectives.
 In fact, the outermost type constructor (syntactically first dimension) is really the one that determines the parameter flavour.
+
+TODO: add examples of mycode/arrr/bugs/c-dependent/x.cfa:v5102,5103,
+which are shocking how much C ignores.
 
 \begin{figure}
@@ -971 +976 @@
 LQ allows this ability through the @LIST_ENTRY@ macro\footnote{It is possible to have multiple named linked fields allowing a node to appear on multiple lists simultaneously.}, which can be placed anywhere in the node.
 An example of an attribute on the link fields is cache alignment, possibly in conjunction with other @req@ fields, improving locality and/or avoiding false sharing.
+For example, if a list is frequently traversed in the forward direction, and infrequently gets elements removed at random positions, then an ideal layout for cache locality puts the forward links, together with frequently-used payload data on one cache line, leaving the reverse links on a colder cache line.
 Supplying the link fields by inheritance makes them implicit and relies on compiler placement, such as the start or end of @req@, and no explicit attributes.
 Wrapped reference has no control over the link fields, but the separate data allows some control;

doc/theses/mike_brooks_MMath/benchmarks/string/.gitignore

@@ -4 +4 @@
 corpus-*.txt
 corpusx-*.txt
-measurement-*.csv
+measurement-*

doc/theses/mike_brooks_MMath/benchmarks/string/Makefile

@@ -10 +10 @@
 # make measurement4 CFA_APILEVELS=ll OPERATIONS='pall' PLATFORMS=stl CFA_EXPANSIONS=-1.0                       CORPORI='corpus-1-*-1.txt'       # allocate-attrib-stl
 
-CFABUILD = ~/cfa2/build-perf
-LIBCFA = $(CFABUILD)/libcfa/*/src/.libs/libcfa.so
-
-CFA = $(CFABUILD)/driver/cfa
+LIBCFA = $(cfabuild)/libcfa/*/src/.libs/libcfa.so
+
+CFA = $(cfabuild)/driver/cfa
 PERFFLAGS_CFA = -nodebug -O2
 PERFFLAGS_CXX = -DNDEBUG -O2 -Wl,--no-as-needed -ldl
@@ -20 +19 @@
 # function: convert to upper case
 define uc
-$(shell echo $(1) | tr  '[:lower:]' '[:upper:]')
+$(shell echo $1 | tr  '[:lower:]' '[:upper:]')
+endef
+
+# function: project numbered element of filename named by any-delimited tuple
+# (call proj,q-w-e-r.txt,-,4) is 4.txt
+# (call proj,q-w-e-r.foo.txt,.,1) is q-w-e-r
+define proj
+$(word $3,$(subst $2, ,$1))
 endef
 
 # function: project numbered element of filename named by hyphen-delimited tuple
-# (call hyphProj,q-w-e-r.txt,1) is Q
-define ucHyphProj
-$(call uc,$(word $(2),$(subst -, ,$(basename $(1)))))
+# (call hyphProj,q-w-e-r.txt,4) is r.txt
+define hyphProj
+$(call proj,$1,-,$2)
+endef
+
+# function: drop file extension and project element
+# (call bnHyphProj,q-w-e-r.txt,4) is r
+define bnHyphProj
+$(call hyphProj,$(basename $1),$2)
+endef
+
+# function: drop file extension, project element and uppercase it
+# (call ucBnhyphProj,q-w-e-r.txt,4) is R
+define ucBnHyphProj
+$(call uc,$(call bnHyphProj,$1,$2))
+endef
+
+# function: cross two lists, adding given delimiters
+# (call delCross,+,a b c,1 2) is a+1 a+2 b+1 b+2 c+1 c+2
+define delCross
+$(foreach x,$2,$(foreach xs,$3,$(x)$1$(xs)))
+endef
+
+define delCross3
+$(call delCross,$1,$2,$(call delCross,$1,$3,$4))
+endef
+
+define delCross4
+$(call delCross,$1,$2,$(call delCross3,$1,$3,$4,$5))
+endef
+
+define delCross5
+$(call delCross,$1,$2,$(call delCross4,$1,$3,$4,$5,$6))
 endef
 
@@ -32 +68 @@
 # (call hyphCross,a b c,1 2) is a-1 a-2 b-1 b-2 c-1 c-2
 define hyphCross
-$(foreach x,$(1),$(foreach xs,$(2),$(x)-$(xs)))
+$(call delCross,-,$1,$2)
 endef
 
 define hyphCross3
-$(call hyphCross,$(1),$(call hyphCross,$(2),$(3)))
+$(call delCross3,-,$1,$2,$3)
 endef
 
 define hyphCross4
-$(call hyphCross,$(1),$(call hyphCross3,$(2),$(3),$(4)))
+$(call delCross4,-,$1,$2,$3,$4)
 endef
 
 define hyphCross5
-$(call hyphCross,$(1),$(call hyphCross4,$(2),$(3),$(4),$(5)))
-endef
-
-OPERATIONS=pta peq pbv pall #pno
-ALLOCS=reuse fresh
-CFA_APILEVELS=hl ll
-CFA_SHARINGS=share noshare
-PLATFORMS=cfa stl #buhr94
+$(call delCross5,-,$1,$2,$3,$4,$5)
+endef
+
+OPERATIONS?=pta peq pbv pall #pno
+ALLOCS?=reuse fresh
+CFA_APILEVELS?=hl ll
+CFA_SHARINGS?=share noshare
+PLATFORMS?=cfa stl #buhr94
 
 ifneq ($(filter cfa,$(PLATFORMS)),)
@@ -69 +105 @@
 OPERATIONS_USING_ALLOCS=pta peq
 define enrichOperationsAllocs
-$(call hyphCross3,$(filter peq pta,$(OPERATIONS)),$(1),$(ALLOCS)) $(call hyphCross3,$(filter-out peq pta,$(OPERATIONS)),$(1),na)
+$(call hyphCross3,$(filter peq pta,$(OPERATIONS)),$1,$(ALLOCS)) $(call hyphCross3,$(filter-out peq pta,$(OPERATIONS)),$1,na)
 endef
 
@@ -84 +120 @@
         echo -e '$(PP_SPLIT)'
 
-perfexp-%.o: API=$(call ucHyphProj,$@,2)
-perfexp-%.o: OPERATION=$(call ucHyphProj,$@,3)
-perfexp-%.o: CFA_APILEVEL=$(call ucHyphProj,$@,4)
-perfexp-%.o: CFA_SHARING=$(call ucHyphProj,$@,5)
-perfexp-%.o: ALLOC=$(call ucHyphProj,$@,6)
+perfexp-%.o: API=$(call ucBnHyphProj,$@,2)
+perfexp-%.o: OPERATION=$(call ucBnHyphProj,$@,3)
+perfexp-%.o: CFA_APILEVEL=$(call ucBnHyphProj,$@,4)
+perfexp-%.o: CFA_SHARING=$(call ucBnHyphProj,$@,5)
+perfexp-%.o: ALLOC=$(call ucBnHyphProj,$@,6)
 perfexp-%.o: SCENARIO_SWITCH=-DIMPL_$(API)_$(CFA_APILEVEL)_$(CFA_SHARING) -DOP_$(OPERATION) -DALLOC_$(ALLOC)
 
@@ -150 +186 @@
 
 MEASURE = $(PERFPROGS)
-CORPORI = corpus-100-*-1.txt
+
+CORPUS_MEANLEN_MODE?=auto #manual
+CORPUS_MEANLEN_START?=1
+CORPUS_MEANLEN_END?=500
+CORPUS_MEANLEN_STEPS_PER_DOUBLE?=1
+CORPUS_MEANLEN_MANVALS?=20 50 100 200 500
+COPRUS_NSTRSS?=100
+CORPUS_RELSCALES?=1.0
+CORPUS_SEEDS?=9876
+CORPUS_OFFSET_INSTRS?=t0
+
+CORPUS_MEANLENS_AUTO=${shell python3 gen-size-steps.py ${CORPUS_MEANLEN_START} ${CORPUS_MEANLEN_END} ${CORPUS_MEANLEN_STEPS_PER_DOUBLE}}
+CORPUS_MEANLENS=\
+        $(if $(filter auto,$(CORPUS_MEANLEN_MODE)),$(CORPUS_MEANLENS_AUTO), \
+        $(if $(filter manual,$(CORPUS_MEANLEN_MODE)),$(CORPUS_MEANLEN_MANVALS), \
+        ERROR))
+CORPUS_SERIES_IDS=$(call delCross3,+,$(CORPUS_RELSCALES),$(CORPUS_SEEDS),$(CORPUS_OFFSET_INSTRS))
+CORPUS_SLUGS=$(call hyphCross4,corpus,$(COPRUS_NSTRSS),$(CORPUS_MEANLENS),$(CORPUS_SERIES_IDS))
+CORPORI=$(call delCross,.,$(CORPUS_SLUGS),txt)
+
+# function to interpret an offset instruction for a given mean-length,
+# producing the pair of arguments for locn and offset
+#
+# An offset instruction is an opcode and natural-number argument.
+# The opcode is either (t)ake or (l)eave.
+# The argument is how much length to take from / leave behind.
+# The resulting amount is deducted from the mean-length and returned in offset.
+# The remaining mean-length is returned in locn.
+#
+# $(call interpOffsetInstr,20,l1) = 1 19 (i.e. constant-length 20)
+# $(call interpOffsetInstr,20,l5) = 5 15
+# $(call interpOffsetInstr,20,t5) = 15 5
+# $(call interpOffsetInstr,20,t0) = 20 0 (i.e. full variability)
+define interpOffsetInstr
+$(strip
+        $(eval qty := $(subst t,,$(subst l,,$2)))
+        $(if $(filter t%,$2), $(shell expr $1 - $(qty)) $(qty),
+        $(if $(filter l%,$2), $(qty) $(shell expr $1 - $(qty)),
+        ERROR))
+)
+endef
+
+corpori: $(CORPORI)
+
+make-corpus: make-corpus.cfa
+        $(CFA) $< -o $@
+
+corpus-%.txt: COPRUS_NSTRS=$(call bnHyphProj,$@,2)
+corpus-%.txt: CORPUS_MEANLEN=$(call bnHyphProj,$@,3)
+corpus-%.txt: CORPUS_SERIES_ID=$(call bnHyphProj,$@,4)
+corpus-%.txt: CORPUS_RELSCALE=$(call proj,$(CORPUS_SERIES_ID),+,1)
+corpus-%.txt: CORPUS_SEED=$(call proj,$(CORPUS_SERIES_ID),+,2)
+corpus-%.txt: CORPUS_OFFSET_INSTR=$(call proj,$(CORPUS_SERIES_ID),+,3)
+corpus-%.txt: make-corpus
+        $(eval CORPUS_OFFSET_INTERPD := $(call interpOffsetInstr,$(CORPUS_MEANLEN),$(CORPUS_OFFSET_INSTR)))
+        $(eval CORPUS_LOCN := $(word 1,$(CORPUS_OFFSET_INTERPD)))
+        $(eval CORPUS_OFFSET := $(word 2,$(CORPUS_OFFSET_INTERPD)))
+        ./$< $(COPRUS_NSTRS) $(CORPUS_LOCN) $(CORPUS_RELSCALE) $(CORPUS_SEED) $(CORPUS_OFFSET) > $@
 
 RUN_TASKSET_CPULIST=6
 
+# both ?= and :=
+ifeq ($(origin MEASUREMENT_TOFILE), undefined)
+MEASUREMENT_TOFILE:=measurement-$(shell date '+%F--%H-%M-%S').output
+endif
+
 # General timing
-# Output file gets concatenation of program outputs
-measurement: $(MEASURE)
-        tofile=measurement-`date '+%F--%H-%M-%S'`.csv ; \
-        echo $$tofile ; \
-        for prog in $(MEASURE) ; do \
+# Output file gets concatenation of program outputs (one line per run)
+measurement: $(MEASURE) corpori
+        @echo "running $(words $(MEASURE)) programs:" $(MEASURE)
+        @echo "... on $(words $(CORPORI)) corpori:" $(CORPORI)
+        @echo "... for $(shell expr $(words $(MEASURE)) "*" $(words $(CORPORI))) rows into:" $(MEASUREMENT_TOFILE)
+        @for prog in $(MEASURE) ; do \
             for corpus in $(CORPORI) ; do \
                         corpusbody=`cat $$corpus` ; \
                         resulttext=`taskset --cpu-list $(RUN_TASKSET_CPULIST) ./$$prog 100 10 $$corpusbody` ; \
-                        echo $$prog,$$corpus,$$resulttext  >>  $$tofile ; \
+                        echo $$prog,$$corpus,$$resulttext  >>  $(MEASUREMENT_TOFILE) ; \
                         echo $$prog,$$corpus,$$resulttext  ; \
                 done ; \
         done
 
-CFA_EXPANSIONS=0.02 0.05 0.1 0.2 0.4 0.5 0.9 0.98
+CFA_EXPANSIONS?=0.02 0.05 0.1 0.2 0.4 0.5 0.9 0.98
 
 # Special-case timing with extra IV for CFA_EXPANSIONS
 # Output file gets concatenation of program outputs (one line per run)
-measurement2: $(MEASURE)
-        tofile=measurement-`date '+%F--%H-%M-%S'`.csv ; \
-        for prog in $(MEASURE) ; do \
-            for corpus in $(CORPORI) ; do \
-                        for expansion in $(CFA_EXPANSIONS) ; do \
-                                corpusbody= ; \
-                                echo ./$$prog 1000 1.006 $$expansion 10 \`cat $$corpus\` ; \
-                        done ; \
-                done ; \
-        done ; \
-        echo $$tofile ; \
-        for prog in $(MEASURE) ; do \
+measurement2: $(MEASURE) corpori
+        @echo "running $(words $(MEASURE)) programs:" $(MEASURE)
+        @echo "... on $(words $(CORPORI)) corpori:" $(CORPORI)
+        @echo "... with $(words $(CFA_EXPANSIONS)) expansions:" $(CFA_EXPANSIONS)
+        @echo "... for $(shell expr $(words $(MEASURE)) "*" $(words $(CORPORI)) "*" $(words $(CFA_EXPANSIONS))) rows into:" $(MEASUREMENT_TOFILE)
+        @for prog in $(MEASURE) ; do \
             for corpus in $(CORPORI) ; do \
                         for expansion in $(CFA_EXPANSIONS) ; do \
                                 corpusbody=`cat $$corpus` ; \
-                                printed=`./$$prog 1000 1.006 $$expansion 10 $$corpusbody` ; \
-                                echo $$prog,$$corpus,$$expansion,$$printed  >>  $$tofile ; \
+                                printed=`taskset --cpu-list $(RUN_TASKSET_CPULIST) ./$$prog 1000 1.006 $$expansion 10 $$corpusbody` ; \
+                                echo $$prog,$$corpus,$$expansion,$$printed  >>  $(MEASUREMENT_TOFILE) ; \
                                 echo $$prog,$$corpus,$$expansion,$$printed  ; \
                         done ; \
@@ -195 +288 @@
 
 # Space, with the IV for CFA_EXPANSIONS
-# Runs Mubeen's malloc interceptor to get malloc-request state
+# Runs Mubeen's malloc interceptor to get malloc-request stats
 # Output file gets concatenation of the interceptor's output (one line per run); program's output ignorred
 # Expect and ignore crashes; they're during shutdown, after everything we care about is over
-measurement3: $(MEASURE)
-        tofile=measurement-`date '+%F--%H-%M-%S'`.ssv ; \
-        for prog in $(MEASURE) ; do \
+measurement3: $(MEASURE) corpori
+        @echo "running $(words $(MEASURE)) programs:" $(MEASURE)
+        @echo "... on $(words $(CORPORI)) corpori:" $(CORPORI)
+        @echo "... with $(words $(CFA_EXPANSIONS)) expansions:" $(CFA_EXPANSIONS)
+        @echo "... for $(shell expr $(words $(MEASURE)) "*" $(words $(CORPORI))) rows into:" $(MEASUREMENT_TOFILE)
+        @for prog in $(MEASURE) ; do \
             for corpus in $(CORPORI) ; do \
                         for expansion in $(CFA_EXPANSIONS) ; do \
@@ -206 +302 @@
                                 LD_PRELOAD=~/plg2/mubeen-stat-shim/malloc/mallocWrappers.so ./$$prog 1000 1.006 $$expansion 10 $$corpusbody ; \
                                 printed=`tail -n 1 preload_dump.txt` ; \
-                                echo $$prog $$corpus $$expansion $$printed  >>  $$tofile ; \
+                                echo $$prog $$corpus $$expansion $$printed  >>  $(MEASUREMENT_TOFILE) ; \
                                 echo $$prog $$corpus $$expansion $$printed  ; \
                                 rm preload_dump.txt ; \
@@ -217 +313 @@
 # Output file gets concatenation of perf summaries (several lines per run); program's output ignorred
 # Expect and ignore output "addr2line: DWARF error: section .debug_info is larger than its filesize!"
-measurement4: $(MEASURE)
-        RUNID=`date '+%F--%H-%M-%S'` ; \
-        tofile=measurement-$$RUNID.ssv ; \
-        echo $$tofile ; \
+measurement4: $(MEASURE) corpori
+        @echo "running $(words $(MEASURE)) programs:" $(MEASURE)
+        @echo "... on $(words $(CORPORI)) corpori:" $(CORPORI)
+        @echo "... with $(words $(CFA_EXPANSIONS)) expansions:" $(CFA_EXPANSIONS)
+        @echo "... for $(shell expr $(words $(MEASURE)) "*" $(words $(CORPORI))) rows into:" $(MEASUREMENT_TOFILE)
+        @RUNID=`date '+%F--%H-%M-%S'` ; \
         for prog in $(MEASURE) ; do \
             for corpus in $(CORPORI) ; do \
@@ -231 +329 @@
                                 ~/flamegraph/FlameGraph/stackcollapse-perf.pl $$SLUG.perf > $$SLUG.folded ; \
                                 ~/flamegraph/FlameGraph/flamegraph.pl $$SLUG.folded > $$SLUG.svg ; \
-                                python3 process-allocn-attrib.py $$SLUG.folded | xargs -L1 echo $$prog $$corpus $$expansion >> $$tofile ; \
+                                python3 process-allocn-attrib.py $$SLUG.folded | xargs -L1 echo $$prog $$corpus $$expansion >> $(MEASUREMENT_TOFILE) ; \
                         done ; \
                 done ; \
         done
+
+
+#
+# Experiment-specific "summary" targets
+#
+
+# These all use recursive make invocations, after setting the scoping variables.
+# Recursive invocation necessary to recompute dependencies like corpori -> $(CORPORI).
+# In the top-level make, the extent of the dependency is computed upfront, using
+# default values, overridden by CLI-provided values.
+# Setting the value per-target makes it available to other targets' bodies, but it
+# does not affect the previously-computed dependencies.
+# Exporting the values and working through a child make has the child intialize its
+# dependencies using the summary-target-provided values.
+# For that to work, the exported variable default values given above must use ?=.
+
+.PHONY: result-append-pbv.csv result-allocate-speed-%.csv result-allocate-speed-cfa.csv
+
+export OPERATIONS
+export ALLOCS
+export CFA_APILEVELS
+export CFA_SHARINGS
+export PLATFORMS
+export CFA_EXPANSIONS
+
+export CORPUS_MEANLEN_MODE
+export CORPUS_MEANLEN_START
+export CORPUS_MEANLEN_END
+export CORPUS_MEANLEN_STEPS_PER_DOUBLE
+export CORPUS_MEANLEN_MANVALS
+export COPRUS_NSTRSS
+export CORPUS_RELSCALES
+export CORPUS_SEEDS
+export CORPUS_OFFSET_INSTRS
+
+
+export MEASUREMENT_TOFILE
+
+result-ANY:
+        $(MAKE) $(SUBTARGET)
+
+result-append-pbv.csv: CFA_APILEVELS=ll
+result-append-pbv.csv: OPERATIONS=pta peq pbv
+result-append-pbv.csv: CORPUS_OFFSET_INSTRS=t0 l1
+result-append-pbv.csv: CORPUS_MEANLEN_STEPS_PER_DOUBLE=4
+result-append-pbv.csv: CORPUS_SEEDS=501 502
+result-append-pbv.csv: SUBTARGET=measurement
+result-append-pbv.csv: result-ANY
+        cp $(MEASUREMENT_TOFILE) $@
+
+result-allocate-ANY: OPERATIONS=pall
+result-allocate-ANY: CORPUS_OFFSET_INSTRS=l15
+result-allocate-ANY: CORPUS_MEANLEN_MODE=manual
+result-allocate-ANY: CFA_SHARINGS=share
+result-allocate-ANY: CORPUS_SEEDS=101 102 103 104 105
+result-allocate-ANY: CFA_APILEVELS=ll
+result-allocate-ANY: result-ANY
+
+result-allocate-ANY-cfa: PLATFORMS=cfa
+result-allocate-ANY-cfa: result-allocate-ANY
+
+result-allocate-ANY-stl: PLATFORMS=stl
+result-allocate-ANY-stl: CFA_EXPANSIONS=-1.0
+result-allocate-ANY-stl: result-allocate-ANY
+
+
+
+
+
+
+result-allocate-speed-cfa.csv: SUBTARGET=measurement2
+result-allocate-speed-cfa.csv: result-allocate-ANY-cfa
+        cp $(MEASUREMENT_TOFILE) $@
+
+result-allocate-speed-stl.csv: SUBTARGET=measurement2
+result-allocate-speed-stl.csv: result-allocate-ANY-stl
+        cp $(MEASUREMENT_TOFILE) $@
+
+# result-allocate-space-cfa.ssv: SUBTARGET=measurement3
+# result-allocate-space-cfa.ssv: result-allocate-ANY-cfa
+#       cp $(MEASUREMENT_TOFILE) $@
+
+# result-allocate-space-stl.ssv: SUBTARGET=measurement3
+# result-allocate-space-stl.ssv: result-allocate-ANY-stl
+#       cp $(MEASUREMENT_TOFILE) $@
+
+# result-allocate-attrib-cfa.ssv: SUBTARGET=measurement4
+# result-allocate-attrib-cfa.ssv: result-allocate-ANY-cfa
+#       cp $(MEASUREMENT_TOFILE) $@
+
+# result-allocate-attrib-stl.ssv: SUBTARGET=measurement4
+# result-allocate-attrib-stl.ssv: result-allocate-ANY-stl
+#       cp $(MEASUREMENT_TOFILE) $@
+
+
+
+
+
+
+
+# result-allocate-speed-%.csv: SUBTARGET=measurement2
+# result-allocate-speed-%.csv: result-allocate-ANY-%
+#       cp $(MEASUREMENT_TOFILE) $@
+
+result-allocate-space-%.ssv: SUBTARGET=measurement3
+result-allocate-space-%.ssv: result-allocate-ANY-%
+        cp $(MEASUREMENT_TOFILE) $@
+
+result-allocate-attrib-%.ssv: SUBTARGET=measurement4
+result-allocate-attrib-%.ssv: result-allocate-ANY-%
+        cp $(MEASUREMENT_TOFILE) $@
+
+
+
+
+
+
+# .PHONY result-append-pbv.csv result-allocate-ANY-cfa result-allocate-speed-stl.csv
+# result-allocate-space-cfa.csv
+# result-allocate-space-stl.csv
+# result-allocate-attrib-cfa.csv
+# result-allocate-attrib-stl.csv

doc/theses/mike_brooks_MMath/benchmarks/string/make-corpus.cfa

@@ -1 @@
-#include <stdlib.hfa>
+#include <stdlib.h>
 #include <math.h>
 #include <limits.h>
 #include <unistd.h>
 #include <string.h>
+#include <assert.h>
+#include <stdio.h>
+
+#include <stdlib.h>
+#include <math.h>
+#include <limits.h>
+#include <unistd.h>
+
+int printing =
+#ifdef VERBOSE
+    1
+#else
+    0
+#endif
+;
+
+#define PRTF(fmt, ...) if (printing) fprintf(stderr, fmt, __VA_ARGS__)
 
 // U(0,1)
 static double U() {
-    return (double)rand() / (double)INT_MAX;
+    return  ((double)rand() + 1) / ((double)RAND_MAX + 2); // avoid 0
 }
 
-// generate random draws from a geometric distribution of the given mean
-// https://math.stackexchange.com/questions/485448/prove-the-way-to-generate-geometrically-distributed-random-numbers
-static double denom;
-static void initialize(int mean) {
-    srand(getpid());
-    double p = 1.0 / (double) mean;
-    denom = log(1-p);
+// parameters for distribution
+static double logn_mu, logn_sigma;
+
+// returns a draw from N(0,1)
+// based on https://en.wikipedia.org/wiki/Box%E2%80%93Muller_transform, section Implementation
+static double rand_std_normal() {
+    double u1 = U();
+    double u2 = U();
+    double ret = sqrt(-2.0 * log(u1)) * cos(2.0 * M_PI * u2);
+    PRTF("=== %f %f %f\n", u1, u2, ret);
+    return ret;
 }
-static int nextGeoRand() {
-    // ret = ⌊ln(U)/ln(1−p)⌋ where U ~ U(0, 1)
-    return 1 + (int) (log(U()) / denom);
+
+// Initialize parameters for log-normal
+// Mean and stdev are for the underlying normal distribution
+// Resulting values will be log-normally distributed: X = exp(mu + sigma * Z)
+static void initialize(double locn, double relscale, int seed) {
+    if (seed) srand(seed);
+    else srand(getpid());
+
+    logn_sigma = sqrt(log(1 + pow(relscale, 2)));
+    logn_mu = log(locn-1) - 0.5 * pow(relscale, 2);
+    PRTF("xxx %f %f\n", logn_mu, logn_sigma);
+}
+
+// Generate a log-normally distributed random integer
+// ln(X) ~ N(mu, sigma^2)
+static int nextLognRand() {
+    double z = rand_std_normal();
+    double x = exp(logn_mu + logn_sigma * z);
+    PRTF("---%f %f\n", z, x);
+    return round(x);
 }
 
 // write a randomly generated alphabetic string whose length is adjused from a draw of the above distribution
 static void emit1( int offset, double mcfreq, char mchar ) {
-    int lim = offset + nextGeoRand();
-    // printf("==%d\n", lim);
-    for (i; lim) {
+    int lim = 1 + offset + nextLognRand();
+    PRTF("%d\n", lim);
+    for (int i = 0; i < lim; i++) {
         char emit;
         if (U() < mcfreq) emit = mchar;
-        else emit = 'a' + (rand() % ('z'-'a'));
+        else emit = 'a' + (rand() % ('z'-'a'+1));
         printf("%c", emit);
     }
@@ -36 +74 @@
 }
 
-// usage: ./make-corpus toGen mean [offset=0] [mcfreq=0.0] [mchar='-']
+// usage: ./make-corpus toGen locn [relscale=1.0] [seed=(pid)] [offset=0] [mcfreq=0.0] [mchar='-']
 //
 // Outputs alphabetic (plus magic-char) strings, one per line.
 // toGen: number of strings (lines)
 // 
-// generated length ~  offset + geo(mean)
+// generated length ~  offset + lognormal( ... locn ... relscale ... )
 //                  >= 1
 //
-// offset=0,  mean=1:  constant length 1
-// offset=0,  mean=2:  lengths go like number of coin tosses it takes to get heads
-// offset=0,  mean=6:  lengths go like number of cube die rolls it takes to get :::
-// offset=15, mean=1:  constant length 16
-// offset=15, mean=2:  population's minimum is 16 and mean is 17
+// offset=0,  locn=1:  constant length 1
+// offset=0,  locn=2:  lengths go like current value of $1 cash + $1-bought stock
+// offset=0,  locn=6:  lengths go like current value of $1 cash + $5-bought stock
+// offset=15, locn=1:  constant length 16
+// offset=15, locn=2:  population's minimum is 16 and mean is 17
+//                     i.e. lengths go like current value of $16 cash + $1-bought stock
+//
+// relscale gives the volatility of the stock.  It's relative to the mean.
+// relscale=0.5 means the +-1 SD outcomes (68% case) are between locn/1.5 = locn*0.67 and locn*1.5.
 //
 // Magic Char (mc) does not affect these lengths.  Any mc occurrence replaces an alphabetic char.
@@ -56 +98 @@
 
     int toGen;
-    int mean;
+    double locn;
+    double relscale = 1.0;
+    int seed = 0;
     int offset = 0;
     double mcfreq = 0.0;
     char mchar = '-';
 
-    assert(argc >= 3 && argc <= 6);
+    assert(argc >= 3 && argc <= 8);
     switch(argc) {
+        case 8:
+            assert(strlen(argv[7]) == 1);
+            mchar = argv[7][0];
+        case 7:
+            mcfreq = atof(argv[6]);
+            assert(mcfreq >= 0.0 && mcfreq <= 1.0);
         case 6:
-            assert(strlen(argv[5]) == 0);
-            mchar = argv[5][0];
+            offset = atoi(argv[5]);
+            assert(offset >= 0 && offset < 10000);
         case 5:
-            mcfreq = atof(argv[4]);
-            assert(mcfreq >= 0.0 && mcfreq <= 1.0);
+            seed = atoi(argv[4]);
+            assert(seed > 0);
         case 4:
-            offset = atoi(argv[3]);
-            assert(offset >= 0 && offset < 10000);
+            relscale = atof(argv[3]);
+            assert(relscale > 0);
+            assert(relscale < 10);
         default:
-            mean = atoi(argv[2]);
-            assert(mean > 0);
-            assert(mean < 1000);
+            locn = atof(argv[2]);
+            assert(locn > 0);
+            assert(locn < 1000);
             toGen = atoi(argv[1]);
             assert(toGen > 0);
@@ -81 +132 @@
     }
 
-    initialize(mean);
-    for( i; toGen ) {
+    PRTF("toGen=%d, locn=%f, relscale=%f, seed=%d, offset=%d, mcfreq=%f, mchar='%c'\n", toGen, locn, relscale, seed, offset, mcfreq, mchar);
+
+    initialize(locn, relscale, seed);
+    for( int i = 0; i < toGen; i++ ) {
         emit1(offset, mcfreq, mchar);
     }

doc/theses/mike_brooks_MMath/benchmarks/string/prog-allocn.cfa

@@ -47 +47 @@
   extern void TUNING_set_string_heap_liveness_threshold(double);  // in string_res.hfa
 #elif defined IMPL_CFA_LL
-  #include <string_res.hfa>
+
+//  fichmich
+
+  #define EXPERIMENT_SEP_COMP_DISABLED
+  #include <string_res.cfa>
   #include <fstream.hfa>
 #endif

doc/theses/mike_brooks_MMath/benchmarks/string/result-allocate-attrib-cfa.ssv

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doc/theses/mike_brooks_MMath/benchmarks/string/result-allocate-attrib-stl.ssv

@@ -1 @@
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doc/theses/mike_brooks_MMath/benchmarks/string/result-allocate-space-cfa.ssv

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doc/theses/mike_brooks_MMath/benchmarks/string/result-allocate-space-stl.ssv

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-perfexp-cfa-pta-ll-share-reuse,corpus-100-10-1.txt,100,100,9.500000,177430000,10.000414
-perfexp-cfa-pta-ll-share-reuse,corpus-100-100-1.txt,100,100,106.370000,142410000,10.000162
-perfexp-cfa-pta-ll-share-reuse,corpus-100-2-1.txt,100,100,2.030000,195500000,10.000161
-perfexp-cfa-pta-ll-share-reuse,corpus-100-20-1.txt,100,100,22.960000,164560000,10.000548
-perfexp-cfa-pta-ll-share-reuse,corpus-100-200-1.txt,100,100,177.280000,122260000,10.000279
-perfexp-cfa-pta-ll-share-reuse,corpus-100-5-1.txt,100,100,5.270000,193960000,10.000071
-perfexp-cfa-pta-ll-share-reuse,corpus-100-50-1.txt,100,100,43.320000,163430000,10.000175
-perfexp-cfa-pta-ll-share-reuse,corpus-100-500-1.txt,100,100,557.260000,87960000,10.001073
-perfexp-cfa-pta-ll-share-reuse,corpus-1-1-1.txt,100,1,1.000000,224420000,10.000135
-perfexp-cfa-pta-ll-share-reuse,corpus-1-10-1.txt,100,1,10.000000,223740000,10.000014
-perfexp-cfa-pta-ll-share-reuse,corpus-1-100-1.txt,100,1,100.000000,153300000,10.000091
-perfexp-cfa-pta-ll-share-reuse,corpus-1-2-1.txt,100,1,2.000000,223430000,10.000120
-perfexp-cfa-pta-ll-share-reuse,corpus-1-20-1.txt,100,1,20.000000,210640000,10.000385
-perfexp-cfa-pta-ll-share-reuse,corpus-1-200-1.txt,100,1,200.000000,129790000,10.000596
-perfexp-cfa-pta-ll-share-reuse,corpus-1-5-1.txt,100,1,5.000000,222850000,10.000361
-perfexp-cfa-pta-ll-share-reuse,corpus-1-50-1.txt,100,1,50.000000,201700000,10.000220
-perfexp-cfa-pta-ll-share-reuse,corpus-1-500-1.txt,100,1,500.000000,110000000,10.000407
-perfexp-cfa-pta-ll-share-fresh,corpus-100-1-1.txt,100,100,1.000000,225030000,10.000360
-perfexp-cfa-pta-ll-share-fresh,corpus-100-10-1.txt,100,100,9.500000,192640000,10.000254
-perfexp-cfa-pta-ll-share-fresh,corpus-100-100-1.txt,100,100,106.370000,143960000,10.000633
-perfexp-cfa-pta-ll-share-fresh,corpus-100-2-1.txt,100,100,2.030000,204500000,10.000450
-perfexp-cfa-pta-ll-share-fresh,corpus-100-20-1.txt,100,100,22.960000,185400000,10.000274
-perfexp-cfa-pta-ll-share-fresh,corpus-100-200-1.txt,100,100,177.280000,126420000,10.000791
-perfexp-cfa-pta-ll-share-fresh,corpus-100-5-1.txt,100,100,5.270000,194450000,10.000396
-perfexp-cfa-pta-ll-share-fresh,corpus-100-50-1.txt,100,100,43.320000,173140000,10.000364
-perfexp-cfa-pta-ll-share-fresh,corpus-100-500-1.txt,100,100,557.260000,92390000,10.000098
-perfexp-cfa-pta-ll-share-fresh,corpus-1-1-1.txt,100,1,1.000000,222210000,10.000426
-perfexp-cfa-pta-ll-share-fresh,corpus-1-10-1.txt,100,1,10.000000,209110000,10.000235
-perfexp-cfa-pta-ll-share-fresh,corpus-1-100-1.txt,100,1,100.000000,154750000,10.000076
-perfexp-cfa-pta-ll-share-fresh,corpus-1-2-1.txt,100,1,2.000000,222030000,10.000114
-perfexp-cfa-pta-ll-share-fresh,corpus-1-20-1.txt,100,1,20.000000,208680000,10.000050
-perfexp-cfa-pta-ll-share-fresh,corpus-1-200-1.txt,100,1,200.000000,133490000,10.000231
-perfexp-cfa-pta-ll-share-fresh,corpus-1-5-1.txt,100,1,5.000000,217740000,10.000425
-perfexp-cfa-pta-ll-share-fresh,corpus-1-50-1.txt,100,1,50.000000,200340000,10.000126
-perfexp-cfa-pta-ll-share-fresh,corpus-1-500-1.txt,100,1,500.000000,109570000,10.000365
-perfexp-cfa-pta-ll-noshare-reuse,corpus-100-1-1.txt,100,100,1.000000,146130000,10.000557
-perfexp-cfa-pta-ll-noshare-reuse,corpus-100-10-1.txt,100,100,9.500000,110430000,10.000456
-perfexp-cfa-pta-ll-noshare-reuse,corpus-100-100-1.txt,100,100,106.370000,17440000,10.003114
-perfexp-cfa-pta-ll-noshare-reuse,corpus-100-2-1.txt,100,100,2.030000,139540000,10.000128
-perfexp-cfa-pta-ll-noshare-reuse,corpus-100-20-1.txt,100,100,22.960000,70380000,10.000395
-perfexp-cfa-pta-ll-noshare-reuse,corpus-100-200-1.txt,100,100,177.280000,8670000,10.001712
-perfexp-cfa-pta-ll-noshare-reuse,corpus-100-5-1.txt,100,100,5.270000,127040000,10.000370
-perfexp-cfa-pta-ll-noshare-reuse,corpus-100-50-1.txt,100,100,43.320000,44250000,10.002214
-perfexp-cfa-pta-ll-noshare-reuse,corpus-100-500-1.txt,100,100,557.260000,3290000,10.007370
-perfexp-cfa-pta-ll-noshare-reuse,corpus-1-1-1.txt,100,1,1.000000,139870000,10.000356
-perfexp-cfa-pta-ll-noshare-reuse,corpus-1-10-1.txt,100,1,10.000000,115500000,10.000281
-perfexp-cfa-pta-ll-noshare-reuse,corpus-1-100-1.txt,100,1,100.000000,18830000,10.003277
-perfexp-cfa-pta-ll-noshare-reuse,corpus-1-2-1.txt,100,1,2.000000,144880000,10.000426
-perfexp-cfa-pta-ll-noshare-reuse,corpus-1-20-1.txt,100,1,20.000000,82050000,10.001071
-perfexp-cfa-pta-ll-noshare-reuse,corpus-1-200-1.txt,100,1,200.000000,8870000,10.002904
-perfexp-cfa-pta-ll-noshare-reuse,corpus-1-5-1.txt,100,1,5.000000,138400000,10.000130
-perfexp-cfa-pta-ll-noshare-reuse,corpus-1-50-1.txt,100,1,50.000000,38130000,10.002351
-perfexp-cfa-pta-ll-noshare-reuse,corpus-1-500-1.txt,100,1,500.000000,3890000,10.003849
-perfexp-cfa-pta-ll-noshare-fresh,corpus-100-1-1.txt,100,100,1.000000,143100000,10.000056
-perfexp-cfa-pta-ll-noshare-fresh,corpus-100-10-1.txt,100,100,9.500000,97990000,10.000081
-perfexp-cfa-pta-ll-noshare-fresh,corpus-100-100-1.txt,100,100,106.370000,16950000,10.004190
-perfexp-cfa-pta-ll-noshare-fresh,corpus-100-2-1.txt,100,100,2.030000,135210000,10.000137
-perfexp-cfa-pta-ll-noshare-fresh,corpus-100-20-1.txt,100,100,22.960000,69270000,10.000092
-perfexp-cfa-pta-ll-noshare-fresh,corpus-100-200-1.txt,100,100,177.280000,8840000,10.000491
-perfexp-cfa-pta-ll-noshare-fresh,corpus-100-5-1.txt,100,100,5.270000,112610000,10.000397
-perfexp-cfa-pta-ll-noshare-fresh,corpus-100-50-1.txt,100,100,43.320000,42480000,10.001402
-perfexp-cfa-pta-ll-noshare-fresh,corpus-100-500-1.txt,100,100,557.260000,3250000,10.027871
-perfexp-cfa-pta-ll-noshare-fresh,corpus-1-1-1.txt,100,1,1.000000,139830000,10.000681
-perfexp-cfa-pta-ll-noshare-fresh,corpus-1-10-1.txt,100,1,10.000000,102320000,10.000624
-perfexp-cfa-pta-ll-noshare-fresh,corpus-1-100-1.txt,100,1,100.000000,17610000,10.000917
-perfexp-cfa-pta-ll-noshare-fresh,corpus-1-2-1.txt,100,1,2.000000,134520000,10.000287
-perfexp-cfa-pta-ll-noshare-fresh,corpus-1-20-1.txt,100,1,20.000000,78150000,10.000982
-perfexp-cfa-pta-ll-noshare-fresh,corpus-1-200-1.txt,100,1,200.000000,8930000,10.010066
-perfexp-cfa-pta-ll-noshare-fresh,corpus-1-5-1.txt,100,1,5.000000,119920000,10.000537
-perfexp-cfa-pta-ll-noshare-fresh,corpus-1-50-1.txt,100,1,50.000000,38540000,10.001545
-perfexp-cfa-pta-ll-noshare-fresh,corpus-1-500-1.txt,100,1,500.000000,3900000,10.024468
-perfexp-cfa-peq-ll-share-reuse,corpus-100-1-1.txt,100,100,1.000000,580710000,10.000065
-perfexp-cfa-peq-ll-share-reuse,corpus-100-10-1.txt,100,100,9.500000,430790000,10.000116
-perfexp-cfa-peq-ll-share-reuse,corpus-100-100-1.txt,100,100,106.370000,247640000,10.000266
-perfexp-cfa-peq-ll-share-reuse,corpus-100-2-1.txt,100,100,2.030000,464050000,10.000189
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-perfexp-cfa-peq-ll-share-reuse,corpus-100-200-1.txt,100,100,177.280000,195030000,10.000477
-perfexp-cfa-peq-ll-share-reuse,corpus-100-5-1.txt,100,100,5.270000,430190000,10.000121
-perfexp-cfa-peq-ll-share-reuse,corpus-100-50-1.txt,100,100,43.320000,331580000,10.000295
-perfexp-cfa-peq-ll-share-reuse,corpus-100-500-1.txt,100,100,557.260000,123230000,10.000186
-perfexp-cfa-peq-ll-share-reuse,corpus-1-1-1.txt,100,1,1.000000,572750000,10.000172
-perfexp-cfa-peq-ll-share-reuse,corpus-1-10-1.txt,100,1,10.000000,558790000,10.000101
-perfexp-cfa-peq-ll-share-reuse,corpus-1-100-1.txt,100,1,100.000000,291780000,10.000230
-perfexp-cfa-peq-ll-share-reuse,corpus-1-2-1.txt,100,1,2.000000,571220000,10.000023
-perfexp-cfa-peq-ll-share-reuse,corpus-1-20-1.txt,100,1,20.000000,461020000,10.000045
-perfexp-cfa-peq-ll-share-reuse,corpus-1-200-1.txt,100,1,200.000000,220880000,10.000260
-perfexp-cfa-peq-ll-share-reuse,corpus-1-5-1.txt,100,1,5.000000,555180000,10.000153
-perfexp-cfa-peq-ll-share-reuse,corpus-1-50-1.txt,100,1,50.000000,433290000,10.000123
-perfexp-cfa-peq-ll-share-reuse,corpus-1-500-1.txt,100,1,500.000000,165210000,10.000260
-perfexp-cfa-peq-ll-share-fresh,corpus-100-1-1.txt,100,100,1.000000,591360000,10.000013
-perfexp-cfa-peq-ll-share-fresh,corpus-100-10-1.txt,100,100,9.500000,432580000,10.000103
-perfexp-cfa-peq-ll-share-fresh,corpus-100-100-1.txt,100,100,106.370000,253100000,10.000162
-perfexp-cfa-peq-ll-share-fresh,corpus-100-2-1.txt,100,100,2.030000,470710000,10.000018
-perfexp-cfa-peq-ll-share-fresh,corpus-100-20-1.txt,100,100,22.960000,381580000,10.000172
-perfexp-cfa-peq-ll-share-fresh,corpus-100-200-1.txt,100,100,177.280000,197910000,10.000400
-perfexp-cfa-peq-ll-share-fresh,corpus-100-5-1.txt,100,100,5.270000,437470000,10.000123
-perfexp-cfa-peq-ll-share-fresh,corpus-100-50-1.txt,100,100,43.320000,337150000,10.000065
-perfexp-cfa-peq-ll-share-fresh,corpus-100-500-1.txt,100,100,557.260000,127310000,10.000685
-perfexp-cfa-peq-ll-share-fresh,corpus-1-1-1.txt,100,1,1.000000,581300000,10.000103
-perfexp-cfa-peq-ll-share-fresh,corpus-1-10-1.txt,100,1,10.000000,566650000,10.000166
-perfexp-cfa-peq-ll-share-fresh,corpus-1-100-1.txt,100,1,100.000000,295340000,10.000202
-perfexp-cfa-peq-ll-share-fresh,corpus-1-2-1.txt,100,1,2.000000,579220000,10.000012
-perfexp-cfa-peq-ll-share-fresh,corpus-1-20-1.txt,100,1,20.000000,470040000,10.000180
-perfexp-cfa-peq-ll-share-fresh,corpus-1-200-1.txt,100,1,200.000000,223060000,10.000188
-perfexp-cfa-peq-ll-share-fresh,corpus-1-5-1.txt,100,1,5.000000,563440000,10.000100
-perfexp-cfa-peq-ll-share-fresh,corpus-1-50-1.txt,100,1,50.000000,438260000,10.000200
-perfexp-cfa-peq-ll-share-fresh,corpus-1-500-1.txt,100,1,500.000000,166830000,10.000225
-perfexp-cfa-peq-ll-noshare-reuse,corpus-100-1-1.txt,100,100,1.000000,603080000,10.000107
-perfexp-cfa-peq-ll-noshare-reuse,corpus-100-10-1.txt,100,100,9.500000,439540000,10.000078
-perfexp-cfa-peq-ll-noshare-reuse,corpus-100-100-1.txt,100,100,106.370000,279990000,10.000309
-perfexp-cfa-peq-ll-noshare-reuse,corpus-100-2-1.txt,100,100,2.030000,509720000,10.000099
-perfexp-cfa-peq-ll-noshare-reuse,corpus-100-20-1.txt,100,100,22.960000,405590000,10.000206
-perfexp-cfa-peq-ll-noshare-reuse,corpus-100-200-1.txt,100,100,177.280000,230400000,10.000124
-perfexp-cfa-peq-ll-noshare-reuse,corpus-100-5-1.txt,100,100,5.270000,454270000,10.000057
-perfexp-cfa-peq-ll-noshare-reuse,corpus-100-50-1.txt,100,100,43.320000,375090000,10.000225
-perfexp-cfa-peq-ll-noshare-reuse,corpus-100-500-1.txt,100,100,557.260000,134440000,10.000290
-perfexp-cfa-peq-ll-noshare-reuse,corpus-1-1-1.txt,100,1,1.000000,588100000,10.000124
-perfexp-cfa-peq-ll-noshare-reuse,corpus-1-10-1.txt,100,1,10.000000,577110000,10.000002
-perfexp-cfa-peq-ll-noshare-reuse,corpus-1-100-1.txt,100,1,100.000000,319990000,10.000151
-perfexp-cfa-peq-ll-noshare-reuse,corpus-1-2-1.txt,100,1,2.000000,586540000,10.000010
-perfexp-cfa-peq-ll-noshare-reuse,corpus-1-20-1.txt,100,1,20.000000,480940000,10.000047
-perfexp-cfa-peq-ll-noshare-reuse,corpus-1-200-1.txt,100,1,200.000000,300590000,10.000162
-perfexp-cfa-peq-ll-noshare-reuse,corpus-1-5-1.txt,100,1,5.000000,577530000,10.000120
-perfexp-cfa-peq-ll-noshare-reuse,corpus-1-50-1.txt,100,1,50.000000,454950000,10.000114
-perfexp-cfa-peq-ll-noshare-reuse,corpus-1-500-1.txt,100,1,500.000000,186210000,10.000221
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-perfexp-cfa-peq-ll-noshare-fresh,corpus-100-10-1.txt,100,100,9.500000,403120000,10.000222
-perfexp-cfa-peq-ll-noshare-fresh,corpus-100-100-1.txt,100,100,106.370000,214740000,10.000444
-perfexp-cfa-peq-ll-noshare-fresh,corpus-100-2-1.txt,100,100,2.030000,449080000,10.000157
-perfexp-cfa-peq-ll-noshare-fresh,corpus-100-20-1.txt,100,100,22.960000,351690000,10.000146
-perfexp-cfa-peq-ll-noshare-fresh,corpus-100-200-1.txt,100,100,177.280000,174630000,10.000540
-perfexp-cfa-peq-ll-noshare-fresh,corpus-100-5-1.txt,100,100,5.270000,419160000,10.000085
-perfexp-cfa-peq-ll-noshare-fresh,corpus-100-50-1.txt,100,100,43.320000,296590000,10.000200
-perfexp-cfa-peq-ll-noshare-fresh,corpus-100-500-1.txt,100,100,557.260000,78000000,10.000539
-perfexp-cfa-peq-ll-noshare-fresh,corpus-1-1-1.txt,100,1,1.000000,541890000,10.000021
-perfexp-cfa-peq-ll-noshare-fresh,corpus-1-10-1.txt,100,1,10.000000,511140000,10.000142
-perfexp-cfa-peq-ll-noshare-fresh,corpus-1-100-1.txt,100,1,100.000000,243680000,10.000252
-perfexp-cfa-peq-ll-noshare-fresh,corpus-1-2-1.txt,100,1,2.000000,532730000,10.000135
-perfexp-cfa-peq-ll-noshare-fresh,corpus-1-20-1.txt,100,1,20.000000,413610000,10.000113
-perfexp-cfa-peq-ll-noshare-fresh,corpus-1-200-1.txt,100,1,200.000000,192770000,10.000185
-perfexp-cfa-peq-ll-noshare-fresh,corpus-1-5-1.txt,100,1,5.000000,495980000,10.000162
-perfexp-cfa-peq-ll-noshare-fresh,corpus-1-50-1.txt,100,1,50.000000,367590000,10.000269
-perfexp-cfa-peq-ll-noshare-fresh,corpus-1-500-1.txt,100,1,500.000000,111560000,10.000455
-perfexp-cfa-pbv-ll-share-na,corpus-100-1-1.txt,xxx,100,1.000000,638780000,10.000008
-perfexp-cfa-pbv-ll-share-na,corpus-100-10-1.txt,xxx,100,9.500000,637840000,10.000004
-perfexp-cfa-pbv-ll-share-na,corpus-100-100-1.txt,xxx,100,106.370000,635130000,10.000003
-perfexp-cfa-pbv-ll-share-na,corpus-100-2-1.txt,xxx,100,2.030000,639810000,10.000140
-perfexp-cfa-pbv-ll-share-na,corpus-100-20-1.txt,xxx,100,22.960000,552670000,10.000089
-perfexp-cfa-pbv-ll-share-na,corpus-100-200-1.txt,xxx,100,177.280000,639550000,10.000019
-perfexp-cfa-pbv-ll-share-na,corpus-100-5-1.txt,xxx,100,5.270000,636230000,10.000044
-perfexp-cfa-pbv-ll-share-na,corpus-100-50-1.txt,xxx,100,43.320000,631470000,10.000125
-perfexp-cfa-pbv-ll-share-na,corpus-100-500-1.txt,xxx,100,557.260000,628330000,10.000127
-perfexp-cfa-pbv-ll-share-na,corpus-1-1-1.txt,xxx,1,1.000000,589760000,10.000044
-perfexp-cfa-pbv-ll-share-na,corpus-1-10-1.txt,xxx,1,10.000000,589790000,10.000151
-perfexp-cfa-pbv-ll-share-na,corpus-1-100-1.txt,xxx,1,100.000000,587540000,10.000128
-perfexp-cfa-pbv-ll-share-na,corpus-1-2-1.txt,xxx,1,2.000000,580790000,10.000102
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-perfexp-cfa-pbv-ll-share-na,corpus-1-50-1.txt,xxx,1,50.000000,587990000,10.000127
-perfexp-cfa-pbv-ll-share-na,corpus-1-500-1.txt,xxx,1,500.000000,587590000,10.000046
-perfexp-cfa-pbv-ll-noshare-na,corpus-100-1-1.txt,xxx,100,1.000000,218340000,10.000321
-perfexp-cfa-pbv-ll-noshare-na,corpus-100-10-1.txt,xxx,100,9.500000,189550000,10.000174
-perfexp-cfa-pbv-ll-noshare-na,corpus-100-100-1.txt,xxx,100,106.370000,169280000,10.000141
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-perfexp-cfa-pbv-ll-noshare-na,corpus-100-200-1.txt,xxx,100,177.280000,157120000,10.000522
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-perfexp-cfa-pbv-ll-noshare-na,corpus-100-50-1.txt,xxx,100,43.320000,179110000,10.000218
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+perfexp-stl-pbv-na-na-na,corpus-100-6-1.0+502+l1.txt,xxx,100,6.000000,798220000,10.000091
+perfexp-stl-pbv-na-na-na,corpus-100-8-1.0+501+t0.txt,xxx,100,6.620000,475860000,10.000055
+perfexp-stl-pbv-na-na-na,corpus-100-8-1.0+501+l1.txt,xxx,100,8.000000,813120000,10.000061
+perfexp-stl-pbv-na-na-na,corpus-100-8-1.0+502+t0.txt,xxx,100,7.270000,487580000,10.000072
+perfexp-stl-pbv-na-na-na,corpus-100-8-1.0+502+l1.txt,xxx,100,8.000000,812890000,10.000075
+perfexp-stl-pbv-na-na-na,corpus-100-9-1.0+501+t0.txt,xxx,100,8.940000,451730000,10.000010
+perfexp-stl-pbv-na-na-na,corpus-100-9-1.0+501+l1.txt,xxx,100,9.000000,789980000,10.000027
+perfexp-stl-pbv-na-na-na,corpus-100-9-1.0+502+t0.txt,xxx,100,8.250000,467450000,10.000196
+perfexp-stl-pbv-na-na-na,corpus-100-9-1.0+502+l1.txt,xxx,100,9.000000,798480000,10.000011
+perfexp-stl-pbv-na-na-na,corpus-100-11-1.0+501+t0.txt,xxx,100,10.630000,431880000,10.000213
+perfexp-stl-pbv-na-na-na,corpus-100-11-1.0+501+l1.txt,xxx,100,11.000000,798240000,10.000064
+perfexp-stl-pbv-na-na-na,corpus-100-11-1.0+502+t0.txt,xxx,100,9.270000,460720000,10.000153
+perfexp-stl-pbv-na-na-na,corpus-100-11-1.0+502+l1.txt,xxx,100,11.000000,798270000,10.000102
+perfexp-stl-pbv-na-na-na,corpus-100-13-1.0+501+t0.txt,xxx,100,10.820000,435620000,10.000072
+perfexp-stl-pbv-na-na-na,corpus-100-13-1.0+501+l1.txt,xxx,100,13.000000,779540000,10.000029
+perfexp-stl-pbv-na-na-na,corpus-100-13-1.0+502+t0.txt,xxx,100,14.000000,428310000,10.000031
+perfexp-stl-pbv-na-na-na,corpus-100-13-1.0+502+l1.txt,xxx,100,13.000000,785250000,10.000042
+perfexp-stl-pbv-na-na-na,corpus-100-16-1.0+501+t0.txt,xxx,100,15.120000,394170000,10.000082
+perfexp-stl-pbv-na-na-na,corpus-100-16-1.0+501+l1.txt,xxx,100,16.000000,367510000,10.000062
+perfexp-stl-pbv-na-na-na,corpus-100-16-1.0+502+t0.txt,xxx,100,12.400000,414790000,10.000033
+perfexp-stl-pbv-na-na-na,corpus-100-16-1.0+502+l1.txt,xxx,100,16.000000,367670000,10.000009
+perfexp-stl-pbv-na-na-na,corpus-100-19-1.0+501+t0.txt,xxx,100,15.350000,387640000,10.000238
+perfexp-stl-pbv-na-na-na,corpus-100-19-1.0+501+l1.txt,xxx,100,19.000000,361780000,10.000092
+perfexp-stl-pbv-na-na-na,corpus-100-19-1.0+502+t0.txt,xxx,100,15.140000,399470000,10.000171
+perfexp-stl-pbv-na-na-na,corpus-100-19-1.0+502+l1.txt,xxx,100,19.000000,362520000,10.000024
+perfexp-stl-pbv-na-na-na,corpus-100-22-1.0+501+t0.txt,xxx,100,17.900000,377740000,10.000076
+perfexp-stl-pbv-na-na-na,corpus-100-22-1.0+501+l1.txt,xxx,100,22.000000,360400000,10.000250
+perfexp-stl-pbv-na-na-na,corpus-100-22-1.0+502+t0.txt,xxx,100,18.970000,376450000,10.000206
+perfexp-stl-pbv-na-na-na,corpus-100-22-1.0+502+l1.txt,xxx,100,22.000000,360640000,10.000273
+perfexp-stl-pbv-na-na-na,corpus-100-26-1.0+501+t0.txt,xxx,100,19.370000,357390000,10.000080
+perfexp-stl-pbv-na-na-na,corpus-100-26-1.0+501+l1.txt,xxx,100,26.000000,367810000,10.000017
+perfexp-stl-pbv-na-na-na,corpus-100-26-1.0+502+t0.txt,xxx,100,21.160000,351760000,10.000165
+perfexp-stl-pbv-na-na-na,corpus-100-26-1.0+502+l1.txt,xxx,100,26.000000,356230000,10.000204
+perfexp-stl-pbv-na-na-na,corpus-100-32-1.0+501+t0.txt,xxx,100,30.900000,300480000,10.000211
+perfexp-stl-pbv-na-na-na,corpus-100-32-1.0+501+l1.txt,xxx,100,32.000000,358840000,10.000216
+perfexp-stl-pbv-na-na-na,corpus-100-32-1.0+502+t0.txt,xxx,100,28.500000,322900000,10.000252
+perfexp-stl-pbv-na-na-na,corpus-100-32-1.0+502+l1.txt,xxx,100,32.000000,360440000,10.000208
+perfexp-stl-pbv-na-na-na,corpus-100-38-1.0+501+t0.txt,xxx,100,40.050000,315470000,10.000048
+perfexp-stl-pbv-na-na-na,corpus-100-38-1.0+501+l1.txt,xxx,100,38.000000,353020000,10.000163
+perfexp-stl-pbv-na-na-na,corpus-100-38-1.0+502+t0.txt,xxx,100,39.380000,319620000,10.000264
+perfexp-stl-pbv-na-na-na,corpus-100-38-1.0+502+l1.txt,xxx,100,38.000000,352360000,10.000178
+perfexp-stl-pbv-na-na-na,corpus-100-45-1.0+501+t0.txt,xxx,100,40.060000,318730000,10.000075
+perfexp-stl-pbv-na-na-na,corpus-100-45-1.0+501+l1.txt,xxx,100,45.000000,349510000,10.000141
+perfexp-stl-pbv-na-na-na,corpus-100-45-1.0+502+t0.txt,xxx,100,34.380000,314040000,10.000109
+perfexp-stl-pbv-na-na-na,corpus-100-45-1.0+502+l1.txt,xxx,100,45.000000,351100000,10.000129
+perfexp-stl-pbv-na-na-na,corpus-100-53-1.0+501+t0.txt,xxx,100,44.370000,284570000,10.000145
+perfexp-stl-pbv-na-na-na,corpus-100-53-1.0+501+l1.txt,xxx,100,53.000000,346140000,10.000287
+perfexp-stl-pbv-na-na-na,corpus-100-53-1.0+502+t0.txt,xxx,100,42.830000,302080000,10.000138
+perfexp-stl-pbv-na-na-na,corpus-100-53-1.0+502+l1.txt,xxx,100,53.000000,346890000,10.000273
+perfexp-stl-pbv-na-na-na,corpus-100-64-1.0+501+t0.txt,xxx,100,57.310000,283810000,10.000275
+perfexp-stl-pbv-na-na-na,corpus-100-64-1.0+501+l1.txt,xxx,100,64.000000,343110000,10.000251
+perfexp-stl-pbv-na-na-na,corpus-100-64-1.0+502+t0.txt,xxx,100,43.010000,295670000,10.000273
+perfexp-stl-pbv-na-na-na,corpus-100-64-1.0+502+l1.txt,xxx,100,64.000000,343560000,10.000158
+perfexp-stl-pbv-na-na-na,corpus-100-76-1.0+501+t0.txt,xxx,100,60.250000,290280000,10.000170
+perfexp-stl-pbv-na-na-na,corpus-100-76-1.0+501+l1.txt,xxx,100,76.000000,339490000,10.000215
+perfexp-stl-pbv-na-na-na,corpus-100-76-1.0+502+t0.txt,xxx,100,57.580000,284760000,10.000210
+perfexp-stl-pbv-na-na-na,corpus-100-76-1.0+502+l1.txt,xxx,100,76.000000,350280000,10.000226
+perfexp-stl-pbv-na-na-na,corpus-100-90-1.0+501+t0.txt,xxx,100,82.160000,279470000,10.000054
+perfexp-stl-pbv-na-na-na,corpus-100-90-1.0+501+l1.txt,xxx,100,90.000000,308540000,10.000053
+perfexp-stl-pbv-na-na-na,corpus-100-90-1.0+502+t0.txt,xxx,100,81.760000,273070000,10.000115
+perfexp-stl-pbv-na-na-na,corpus-100-90-1.0+502+l1.txt,xxx,100,90.000000,310490000,10.000023
+perfexp-stl-pbv-na-na-na,corpus-100-107-1.0+501+t0.txt,xxx,100,80.080000,283210000,10.000295
+perfexp-stl-pbv-na-na-na,corpus-100-107-1.0+501+l1.txt,xxx,100,107.000000,322660000,10.000190
+perfexp-stl-pbv-na-na-na,corpus-100-107-1.0+502+t0.txt,xxx,100,93.820000,270830000,10.000094
+perfexp-stl-pbv-na-na-na,corpus-100-107-1.0+502+l1.txt,xxx,100,107.000000,318430000,10.000185
+perfexp-stl-pbv-na-na-na,corpus-100-128-1.0+501+t0.txt,xxx,100,107.240000,259940000,10.000061
+perfexp-stl-pbv-na-na-na,corpus-100-128-1.0+501+l1.txt,xxx,100,128.000000,299520000,10.000043
+perfexp-stl-pbv-na-na-na,corpus-100-128-1.0+502+t0.txt,xxx,100,119.770000,265870000,10.000062
+perfexp-stl-pbv-na-na-na,corpus-100-128-1.0+502+l1.txt,xxx,100,128.000000,287900000,10.000266
+perfexp-stl-pbv-na-na-na,corpus-100-152-1.0+501+t0.txt,xxx,100,143.500000,251580000,10.000204
+perfexp-stl-pbv-na-na-na,corpus-100-152-1.0+501+l1.txt,xxx,100,152.000000,302160000,10.000104
+perfexp-stl-pbv-na-na-na,corpus-100-152-1.0+502+t0.txt,xxx,100,127.260000,259120000,10.000317
+perfexp-stl-pbv-na-na-na,corpus-100-152-1.0+502+l1.txt,xxx,100,152.000000,304310000,10.000293
+perfexp-stl-pbv-na-na-na,corpus-100-181-1.0+501+t0.txt,xxx,100,183.060000,237150000,10.000331
+perfexp-stl-pbv-na-na-na,corpus-100-181-1.0+501+l1.txt,xxx,100,181.000000,292330000,10.000237
+perfexp-stl-pbv-na-na-na,corpus-100-181-1.0+502+t0.txt,xxx,100,143.400000,255510000,10.000190
+perfexp-stl-pbv-na-na-na,corpus-100-181-1.0+502+l1.txt,xxx,100,181.000000,295400000,10.000267
+perfexp-stl-pbv-na-na-na,corpus-100-215-1.0+501+t0.txt,xxx,100,192.410000,240510000,10.000322
+perfexp-stl-pbv-na-na-na,corpus-100-215-1.0+501+l1.txt,xxx,100,215.000000,266290000,10.000030
+perfexp-stl-pbv-na-na-na,corpus-100-215-1.0+502+t0.txt,xxx,100,192.720000,244330000,10.000100
+perfexp-stl-pbv-na-na-na,corpus-100-215-1.0+502+l1.txt,xxx,100,215.000000,275000000,10.000198
+perfexp-stl-pbv-na-na-na,corpus-100-256-1.0+501+t0.txt,xxx,100,202.830000,221190000,10.000395
+perfexp-stl-pbv-na-na-na,corpus-100-256-1.0+501+l1.txt,xxx,100,256.000000,280330000,10.000272
+perfexp-stl-pbv-na-na-na,corpus-100-256-1.0+502+t0.txt,xxx,100,211.240000,229220000,10.000326
+perfexp-stl-pbv-na-na-na,corpus-100-256-1.0+502+l1.txt,xxx,100,256.000000,281290000,10.000186
+perfexp-stl-pbv-na-na-na,corpus-100-304-1.0+501+t0.txt,xxx,100,233.480000,223300000,10.000248
+perfexp-stl-pbv-na-na-na,corpus-100-304-1.0+501+l1.txt,xxx,100,304.000000,272980000,10.000132
+perfexp-stl-pbv-na-na-na,corpus-100-304-1.0+502+t0.txt,xxx,100,229.110000,218230000,10.000074
+perfexp-stl-pbv-na-na-na,corpus-100-304-1.0+502+l1.txt,xxx,100,304.000000,272220000,10.000081
+perfexp-stl-pbv-na-na-na,corpus-100-362-1.0+501+t0.txt,xxx,100,293.510000,208060000,10.000240
+perfexp-stl-pbv-na-na-na,corpus-100-362-1.0+501+l1.txt,xxx,100,362.000000,249690000,10.000022
+perfexp-stl-pbv-na-na-na,corpus-100-362-1.0+502+t0.txt,xxx,100,241.970000,232250000,10.000188
+perfexp-stl-pbv-na-na-na,corpus-100-362-1.0+502+l1.txt,xxx,100,362.000000,260830000,10.000218
+perfexp-stl-pbv-na-na-na,corpus-100-430-1.0+501+t0.txt,xxx,100,429.170000,182530000,10.000060
+perfexp-stl-pbv-na-na-na,corpus-100-430-1.0+501+l1.txt,xxx,100,430.000000,244740000,10.000202
+perfexp-stl-pbv-na-na-na,corpus-100-430-1.0+502+t0.txt,xxx,100,432.350000,175250000,10.000526
+perfexp-stl-pbv-na-na-na,corpus-100-430-1.0+502+l1.txt,xxx,100,430.000000,232450000,10.000389

doc/theses/mike_brooks_MMath/plots/common.py

@@ -17 +17 @@
 
     dt[['corpus-basename',
-        'corpus-ext']] = dt['corpus'].str.strip().str.split('.', expand=True)
+        'corpus-ext']] = dt['corpus'].str.strip().str.rsplit('.', n=1, expand=True)
     dt[['corpus-slug',
-        'corpus-nstrs',
-        'corpus-meanlen',
+        'corpus-nstrs-tgt',
+        'corpus-meanlen-tgt',
         'corpus-runid']] = dt['corpus-basename'].str.strip().str.split('-', expand=True)
-    dt["corpus-nstrs"] = pd.to_numeric(dt["corpus-nstrs"])
-    dt["corpus-meanlen"] = pd.to_numeric(dt["corpus-meanlen"])
-    dt["corpus-runid"] = pd.to_numeric(dt["corpus-runid"])
+    dt["corpus-nstrs-tgt"] = pd.to_numeric(dt["corpus-nstrs-tgt"])
+    dt["corpus-meanlen-tgt"] = pd.to_numeric(dt["corpus-meanlen-tgt"])
+    dt[['corpus-relscale',
+        'corpus-seed',
+        'corpus-offset-instr']] = dt['corpus-runid'].str.strip().str.split('+', expand=True)
+    dt["corpus-relscale"] = pd.to_numeric(dt["corpus-relscale"])
 
 def loadParseTimingData( infileLocal, xClasNames=[], xClasDtypes={}, xFactNames=[], xFactDtypes={} ):
@@ -32 +35 @@
     timings = pd.read_csv(
         infile,
-        names=['test', 'corpus'] + xClasNames + [ 'concatsPerReset', 'corpusItemCount', 'corpusMeanLenChars', 'concatDoneActualCount', 'execTimeActualSec'] + xFactNames,
+        names=['test', 'corpus'] + xClasNames + [ 'concatsPerReset', 'corpusItemCountAct', 'corpusMeanLenCharsAct', 'concatDoneActualCount', 'execTimeActualSec'] + xFactNames,
         dtype={**xClasDtypes, **xFactDtypes, **{
             'test':                  str,
             'corpus':                str,
             'concatsPerReset':       'Int64', # allows missing; https://stackoverflow.com/a/70626154
-            'corpusItemCount':       np.int64,
-            'corpusMeanLenChars':    np.float64,
+            'corpusItemCountAct':    np.int64,
+            'corpusMeanLenCharsAct': np.float64,
             'concatDoneActualCount': np.int64,
             'execTimeActualSec':     np.float64,

doc/theses/mike_brooks_MMath/plots/string-allocn-attrib.py

@@ -14 +14 @@
 import os
 import sys
+from pathlib import Path
 
 sys.path.insert(0, os.path.dirname(__file__))
@@ -19 +20 @@
 
 sizes_i_want = [50, 200] # [20, 50, 100, 200]
+defaultExpansionCfa = 0.2
 
-# assume CFA threshold only run at default value
+metaFilename = os.path.dirname(os.path.abspath(__file__)) + '/string-allocn-attrib-meta.dat'
+catOrder = Path(metaFilename).read_text()
+catOrder = str.split(catOrder)
 
 cfatimings = loadParseTimingData('result-allocate-speed-cfa.csv',
                 xClasNames=['expansion'], xClasDtypes={'expansion':'Float64'},
                 xFactNames=['topIters'], xFactDtypes={'topIters':np.int64})
+cfatimings = cfatimings.groupby('expansion').get_group(defaultExpansionCfa)
 
 cfaattribs = loadParseAttribData('result-allocate-attrib-cfa.ssv')
+cfaattribs = cfaattribs.groupby('expansion').get_group(defaultExpansionCfa)
+
+cfasizings = loadParseSizingData('result-allocate-space-cfa.ssv', xClasNames=['expansion'], xClasDtypes={'expansion':'Float64'})
+cfasizings = cfasizings.groupby('expansion').get_group(defaultExpansionCfa)
 
 stltimings = loadParseTimingData('result-allocate-speed-stl.csv',
@@ -34 +43 @@
 stlattribs = loadParseAttribData('result-allocate-attrib-stl.ssv')
 
+stlsizings = loadParseSizingData('result-allocate-space-stl.ssv', xClasNames=['expansion'], xClasDtypes={'expansion':'Float64'})
+
 timings = pd.concat([cfatimings, stltimings])
 attribs = pd.concat([cfaattribs, stlattribs])
+sizings = pd.concat([cfasizings, stlsizings])
+
+# print("before join", timings.shape[0], attribs.shape[0])
+# print(timings.to_csv(header=True, index=True, sep='\t', na_rep="0"))
+# print(attribs.to_csv(header=True, index=True, sep='\t', na_rep="0"))
+# print(sizings.to_csv(header=True, index=True, sep='\t', na_rep="0"))
 
 combined = pd.merge(
-    left=timings[['sut-platform', 'corpus-meanlen','expansion', 'op-duration-ns']],
-    right=attribs[['sut-platform', 'corpus-meanlen','expansion', 'category', 'fraction']],
-    on=['sut-platform', 'corpus-meanlen','expansion']
+    left=timings[['sut-platform', 'corpus', 'corpus-meanlen-tgt','expansion', 'op-duration-ns']],
+    right=attribs[['sut-platform', 'corpus', 'expansion', 'category', 'fraction']],
+    on=['sut-platform', 'corpus','expansion']
 )
 
+combined = pd.merge(
+    left=combined,
+    right=sizings[['sut-platform', 'corpus','expansion','hw_cur_req_mem(B)']],
+    on=['sut-platform', 'corpus','expansion']
+)
+
+# print("after join", combined.shape[0])
+# print(combined.to_csv(header=True, index=True, sep='\t', na_rep="0"))
+
 combined['cat-duration-ns'] = combined['op-duration-ns'] * combined['fraction']
-combined.drop(columns=['expansion', 'op-duration-ns', 'fraction'], inplace=True)
+combined.drop(columns=['expansion', 'op-duration-ns', 'fraction', 'corpus'], inplace=True)
 
-pvt = combined.pivot( columns='category', values='cat-duration-ns', index=['corpus-meanlen', 'sut-platform'] )
+# print("before summarize", combined.shape[0])
+# print(combined.to_csv(header=True, index=True, sep='\t', na_rep="0"))
 
-desired_dcol_order = ["ctor-dtor", "gc", "malloc-free", "text-import", "harness-leaf", "other"]
-pvt = pvt[desired_dcol_order]
+summary = combined.pivot_table(
+    values=['hw_cur_req_mem(B)','cat-duration-ns'],
+    index=['corpus-meanlen-tgt', 'sut-platform', 'category'],
+    aggfunc={'hw_cur_req_mem(B)':'mean','cat-duration-ns':['mean', 'min', 'max']} )
+summary = summary.reset_index()
+summary.columns = summary.columns.to_flat_index()
+summary.columns = [
+    '-'.join(filter(None, col)).replace(' ', '-')  # replaces space with dash if needed
+    for col in summary.columns.to_flat_index()
+]
 
-filtered = pvt.loc[pvt.index.get_level_values('corpus-meanlen').isin(sizes_i_want)]
+# reorder columns with memory as first value (after sut-platform, which is last key)
+# cols = summary.columns.tolist()
+# cols.remove("hw_cur_req_mem(B)-mean")
+# insert_after = cols.index("sut-platform") + 1
+# cols.insert(insert_after, "hw_cur_req_mem(B)-mean")
+# summary = summary[cols]
 
-print(filtered.to_csv(header=True, index=True, sep='\t', na_rep="0"))
+summary = summary[[
+    'corpus-meanlen-tgt',
+    'sut-platform',
+    'hw_cur_req_mem(B)-mean',
+    'category',
+    'cat-duration-ns-mean',
+    'cat-duration-ns-max',
+    'cat-duration-ns-min']]
 
+# print("after summarize", summary.shape[0])
+# print(summary.to_csv(header=True, index=True, sep='\t', na_rep="0"))
+
+
+
+# Ensure 'category' follows the specified order
+summary['category'] = pd.Categorical(summary['category'], categories=catOrder, ordered=True)
+
+# Sort the DataFrame to prepare for cumulative sum
+summary_sorted = summary.sort_values(by=['corpus-meanlen-tgt', 'sut-platform',  'category'])
+
+# Group by the keys and compute exclusive running total
+summary_sorted['grp-prior-duration-ns'] = (
+    summary_sorted
+    .groupby(['corpus-meanlen-tgt', 'sut-platform'])['cat-duration-ns-mean']
+    .transform(lambda s: s.cumsum().shift(fill_value=0))
+)
+
+summary_sorted = summary_sorted.reset_index(drop=True)
+
+
+# print("after accumulation", summary_sorted.shape[0])
+# print(summary_sorted.to_csv(header=True, index=True, sep='\t', na_rep="0"))
+
+
+filtered = summary_sorted[summary_sorted['corpus-meanlen-tgt'].isin(sizes_i_want)]
+
+# print("after filter", filtered.shape[0])
+
+print(filtered.to_csv(header=True, index=False, sep='\t', na_rep="0"))

doc/theses/mike_brooks_MMath/plots/string-allocn.gp

@@ -5 +5 @@
 INDIR="build"
 OUTDIR="build"
+SRCDIR="plots"
 
 SCALE=1024
@@ -11 +12 @@
 set macros
 set output OUTDIR."/plot-string-allocn.pdf"
-set multiplot layout 1, 3 ;
-set key outside top center horizontal
+set multiplot layout 1, 2 ;
 set grid
 
-# common to only first two graphs
-set logscale x 2
-#set mxtics 3                      # 3 steps within each doubling (e.g. 3 steps of of 32 between 32 and 128 => tick on 32s in there)
-set xlabel "Heap Used (B)"
-set logscale y 10
 
 #
@@ -25 +20 @@
 #
 
+#set errorbars dashtype '.'
+
+set logscale x 2
+set xlabel "Heap Used (B)"
+set logscale y 10
+set key outside top center
+
 set ylabel "Duration (ns)" offset 2,0
-set yrange[35:125]
-set ytics add (40, 50, 60, 70, 80, 90, 110, 120)
+set yrange[40:150]
+set ytics add (40, 50, 60, 70, 80, 90, 110, 120, 130, 140, 150)
 
-set xrange[32:4096]
+set xrange[32:8192]
 set xtics rotate by -90
 set xtics ("" 32, "64 k" 64, "" 128, "256 k" 256, "" 512, "1 M" 1024, "" 2048, "4 M" 4096)
@@ -35 +37 @@
 # First each curve, then each default-expansion point
 plot INDIR."/plot-string-allocn.dat" \
-           i 0 using ($3/SCALE):2 title columnheader(1) with linespoints lt rgb "blue"    pt  2   ps 1 lw 1, \
-        '' i 1 using ($3/SCALE):2 title columnheader(1) with linespoints lt rgb "red"     pt  3   ps 1 lw 1, \
-        '' i 2 using ($3/SCALE):2 title columnheader(1) with linespoints lt rgb "brown"   pt  8   ps 1 lw 1, \
-        '' i 3 using ($3/SCALE):2 title columnheader(1) with linespoints lt rgb "black"   pt  10  ps 1 lw 1, \
-        '' i 4 using ($3/SCALE):2 title columnheader(1) with linespoints lt rgb "magenta" pt  12  ps 1 lw 1, \
-        '' i 0 using ( ($4 == 1) ? ($3/SCALE) : 1/0 ):2 notitle with points lt rgb "blue"    pt  66 ps 2, \
-        '' i 1 using ( ($4 == 1) ? ($3/SCALE) : 1/0 ):2 notitle with points lt rgb "red"     pt  66 ps 2, \
-        '' i 2 using ( ($4 == 1) ? ($3/SCALE) : 1/0 ):2 notitle with points lt rgb "brown"   pt  66 ps 2, \
-        '' i 3 using ( ($4 == 1) ? ($3/SCALE) : 1/0 ):2 notitle with points lt rgb "black"   pt  66 ps 2, \
-        '' i 4 using ( ($4 == 1) ? ($3/SCALE) : 1/0 ):2 notitle with points lt rgb "magenta" pt  66 ps 2
+           i 0 using ($5/SCALE):2     notitle               with lines      lt rgb "blue"        dt '.'  lw 2, \
+        '' i 1 using ($5/SCALE):2     notitle               with lines      lt rgb "red"         dt '.'  lw 2, \
+        '' i 2 using ($5/SCALE):2     notitle               with lines      lt rgb "brown"       dt '.'  lw 2, \
+        '' i 3 using ($5/SCALE):2     title "tuning contour" with lines     lt rgb "black"       dt '.'  lw 2, \
+        '' i 4 using ($5/SCALE):2     notitle               with lines      lt rgb "magenta"     dt '.'  lw 2, \
+        '' i 0 using ($5/SCALE):2:3:4 notitle               with yerrorbars lt rgb "blue"    pt  7  ps 0.25 lw 1, \
+        '' i 1 using ($5/SCALE):2:3:4 notitle               with yerrorbars lt rgb "red"     pt  7  ps 0.25 lw 1, \
+        '' i 2 using ($5/SCALE):2:3:4 notitle               with yerrorbars lt rgb "brown"   pt  7  ps 0.25 lw 1, \
+        '' i 3 using ($5/SCALE):2:3:4 notitle               with yerrorbars lt rgb "black"   pt  7  ps 0.25 lw 1, \
+        '' i 4 using ($5/SCALE):2:3:4 notitle               with yerrorbars lt rgb "magenta" pt  7  ps 0.25 lw 1, \
+        '' i 0 using ( ($8 == 1) ? ($5/SCALE) : 1/0 ):2 notitle with points lt rgb "blue"    pt  66 ps 2, \
+        '' i 1 using ( ($8 == 1) ? ($5/SCALE) : 1/0 ):2 notitle with points lt rgb "red"     pt  66 ps 2, \
+        '' i 2 using ( ($8 == 1) ? ($5/SCALE) : 1/0 ):2 notitle with points lt rgb "brown"   pt  66 ps 2, \
+        '' i 3 using ( ($8 == 1) ? ($5/SCALE) : 1/0 ):2 title "default tuning" \
+                                                                with points lt rgb "black"   pt  66 ps 2, \
+        '' i 4 using ( ($8 == 1) ? ($5/SCALE) : 1/0 ):2 notitle with points lt rgb "magenta" pt  66 ps 2, \
+        '' i 0 using ($5/SCALE):2:("{/Times=15 len-\n20")  every ::1::1 with labels left  offset  0.75,0.25 textcolor rgb "blue"    notitle, \
+        '' i 1 using ($5/SCALE):2:("{/Times=15 len-\n50")  every ::5::5 with labels right offset -0.6 ,1.5  textcolor rgb "red"     notitle, \
+        '' i 2 using ($5/SCALE):2:("{/Times=15 len-\n100") every ::4::4 with labels right offset -0.75,0.5  textcolor rgb "brown"   notitle, \
+        '' i 3 using ($5/SCALE):2:("{/Times=15 len-\n200") every ::4::4 with labels right offset -0.75,1.25 textcolor rgb "black"   notitle, \
+        '' i 4 using ($5/SCALE):2:("{/Times=15 len-\n500") every ::4::4 with labels right offset -0.75,0.25 textcolor rgb "magenta" notitle, \
+        '' i 5 using                          ($5/SCALE)        :2     notitle               with lines       lt rgb "#BF007F7F"               lw 8, \
+        '' i 6 using                          ($5/SCALE)        :2     notitle               with lines       lt rgb "#BF007F7F"               lw 8, \
+        '' i 7 using                          ($5/SCALE)        :2     notitle               with lines       lt rgb "#BF007F7F"               lw 8, \
+        '' i 8 using                          ($5/SCALE)        :2     title "tradeoff"      with lines       lt rgb "#BF007F7F"              lw 8, \
+        '' i 9 using                          ($5/SCALE)        :2     notitle               with lines       lt rgb "#BF007F7F"               lw 8, \
+        '' i 5 using ( (strcol(8) eq "stl") ? ($5/SCALE) : 1/0 ):2:3:4 notitle               with yerrorbars  lt rgb "#00007F7F"  pt 6     ps 0.5 lw 2 ,       \
+        '' i 6 using ( (strcol(8) eq "stl") ? ($5/SCALE) : 1/0 ):2:3:4 notitle               with yerrorbars  lt rgb "#00007F7F"  pt 6     ps 0.5 lw 2 ,       \
+        '' i 7 using ( (strcol(8) eq "stl") ? ($5/SCALE) : 1/0 ):2:3:4 notitle               with yerrorbars  lt rgb "#00007F7F"  pt 6     ps 0.5 lw 2 ,       \
+        '' i 8 using ( (strcol(8) eq "stl") ? ($5/SCALE) : 1/0 ):2:3:4 notitle               with yerrorbars  lt rgb "#00007F7F"  pt 6     ps 0.5 lw 2 , \
+        '' i 9 using ( (strcol(8) eq "stl") ? ($5/SCALE) : 1/0 ):2:3:4 notitle               with yerrorbars  lt rgb "#00007F7F"  pt 6     ps 0.5 lw 2
+
 
 unset ylabel
+unset xlabel
 
 unset xtics
@@ -53 +78 @@
 unset xrange
 
-
-#
-# STL comparison
-#
-
-
-set yrange[40:85]
-set ytics add (40, 45, 50, 55, 60, 65, 70, 75, 80, 85)
-set mytics 90                     # 90 steps within each decade (e.g. 90 steps of of 1 between 10 and 100 => tick on 1s in there)
-
-set xrange[64:4096]
-set xtics rotate by -90
-set xtics ("64 k" 64, "128 k" 128, "256 k" 256, "512 k" 512, "1 M" 1024, "2 M" 2048, "4 M" 4096)
-
-# skullduggeries:
-# hardcoding chunk index and assuming data in the chunk (by hardcoding only the stl series title)
-# series order is meaningless but important: achieves z-order readability and legend order acceptability
-
-plot INDIR."/plot-string-allocn.dat" \
-           i 8 using                          ($3/SCALE)        :2 title "tradeoff"      with lines       lt rgb "#77000000"  dt (2,2)       lw 8, \
-        '' i 1 using                          ($3/SCALE)        :2 title columnheader(1) with linespoints lt rgb "red"        pt  3    ps 1  lw 1, \
-        '' i 6 using ( (strcol(4) eq "cfa") ? ($3/SCALE) : 1/0 ):2 notitle               with points      lt rgb "red"        pt 66    ps 2,       \
-        '' i 6 using                          ($3/SCALE)        :2 notitle               with lines       lt rgb "#77000000"  dt (2,2)       lw 8, \
-        '' i 6 using ( (strcol(4) eq "stl") ? ($3/SCALE) : 1/0 ):2 title "stl, len=50"   with points      lt rgb "red"        pt 5     ps 1,       \
-        '' i 3 using                          ($3/SCALE)        :2 title columnheader(1) with linespoints lt rgb "black"      pt  10   ps 1  lw 1, \
-        '' i 8 using ( (strcol(4) eq "stl") ? ($3/SCALE) : 1/0 ):2 title "stl, len=200"  with points      lt rgb "black"      pt 5     ps 1,       \
-        '' i 8 using ( (strcol(4) eq "cfa") ? ($3/SCALE) : 1/0 ):2 notitle               with points      lt rgb "black"      pt 66    ps 2
-
-
-unset mytics
-unset ytics
-unset yrange
-unset xrange
-
-
-
-# common to first two graphs
 unset logscale
 unset xlabel
@@ -98 +86 @@
 #
 
-set style data histogram
+set key outside top center vertical maxrows 3
+
+set logscale x 2
+#set mxtics 3                      # 3 steps within each doubling (e.g. 3 steps of of 32 between 32 and 128 => tick on 32s in there)
+
+set yrange[0:105]
 set ytics auto
-set style histogram clustered gap 1 rowstacked
-set style fill solid border -1
-set boxwidth 0.8
-set xtics rotate by -45
 
-plot for [col=3:8] \
-    INDIR.'/plot-string-allocn-attrib.dat' using col:xticlabels(stringcolumn(2).", len=".stringcolumn(1)) index 0 title columnheader(col)
+set xrange[2.0e4:3e7]
+# set xtics rotate by -90
+# set xtics ("" 32, "64 k" 64, "" 128, "256 k" 256, "" 512, "1 M" 1024, "" 2048, "4 M" 4096)
+
+set style fill solid 1.0
+
+BAR_RELWD = 0.5
+BAR_XSHIFT = (1+BAR_RELWD)**(-0.55)
+LEN_X_SEP = 1.7
+
+# get segment draw order (front to back) from metadata file
+meta = system('cat '.SRCDIR.'/string-allocn-attrib-meta.dat')
+STATS_words = words(meta)
+array STATS_word[STATS_words]
+do for [i=1:STATS_words] {
+    STATS_word[i] = word(meta, i)
+}
+
+
+
+plot \
+        for [i=STATS_words:1:-1] \
+        INDIR.'/plot-string-allocn-attrib.dat' \
+                using (stringcolumn("category") eq STATS_word[i] ? (BAR_XSHIFT*$1**LEN_X_SEP*$3/SCALE) : 1/0): \
+                          (stringcolumn("category") eq STATS_word[i] ? ($5 + $8) : 1/0): \
+                          (stringcolumn("category") eq STATS_word[i] ? (BAR_RELWD*(BAR_XSHIFT*$1**LEN_X_SEP*$3/SCALE)) : 1/0) \
+                with boxes ls i title STATS_word[i], \
+        INDIR."/plot-string-allocn.dat" \
+           i 1 using (50 **LEN_X_SEP*$5/SCALE):2     notitle with lines      lt rgb "red"         dt '.'  lw 2, \
+        '' i 3 using (200**LEN_X_SEP*$5/SCALE):2     notitle with lines      lt rgb "black"       dt '.'  lw 2, \
+        '' i 1 using ( ($8 == 1) ? (50 **LEN_X_SEP*$5/SCALE) : 1/0 ):2 notitle with points lt rgb "red"     pt  66 ps 2, \
+        '' i 3 using ( ($8 == 1) ? (200**LEN_X_SEP*$5/SCALE) : 1/0 ):2 notitle with points lt rgb "black"   pt  66 ps 2, \
+        '' i 1 using ( ($8 == 1) ? (50 **LEN_X_SEP*$5/SCALE) : 1/0 ):2:3:4 notitle with yerrorbars lt rgb "red"     pt  7  ps 0.25 lw 1, \
+        '' i 3 using ( ($8 == 1) ? (200**LEN_X_SEP*$5/SCALE) : 1/0 ):2:3:4 notitle with yerrorbars lt rgb "black"   pt  7  ps 0.25 lw 1, \
+        '' i 1 using (50 **LEN_X_SEP*$5/SCALE):2:("{/Times=15 len-\n50")  every ::5::5 with labels right offset -0.6 ,1.5  textcolor rgb "red"     notitle, \
+        '' i 3 using (200**LEN_X_SEP*$5/SCALE):2:("{/Times=15 len-\n200") every ::4::4 with labels right offset -0.75,1.25 textcolor rgb "black"   notitle, \
+        '' i 6 using                          (50 **LEN_X_SEP*$5/SCALE)        :2     notitle      with lines   lt rgb "#BF007F7F"               lw 8, \
+        '' i 8 using                          (200**LEN_X_SEP*$5/SCALE)        :2     notitle      with lines   lt rgb "#BF007F7F"              lw 8, \
+        '' i 6 using ( (strcol(8) eq "stl") ? (50 **LEN_X_SEP*$5/SCALE) : 1/0 ):2:3:4     notitle      with yerrorbars  lt rgb "#00007F7F"  pt 6     ps 0.5 lw 2 ,       \
+        '' i 8 using ( (strcol(8) eq "stl") ? (200**LEN_X_SEP*$5/SCALE) : 1/0 ):2:3:4     notitle      with yerrorbars  lt rgb "#00007F7F"  pt 6     ps 0.5 lw 2
+
+
+#          i 6 using                          ($5/SCALE)        :2:(BAR_RELWD*($5/SCALE))     notitle               with boxes  lt rgb "grey"    , \
+#       '' i 8 using                          ($5/SCALE)        :2:(BAR_RELWD*($5/SCALE))     notitle               with boxes  lt rgb "grey"    , \
+#       '' i 6 using                          ($5/SCALE)        :($2-40):(BAR_RELWD*($5/SCALE))     notitle               with boxes  lt rgb "blue", \
+#       '' i 8 using                          ($5/SCALE)        :($2-40):(BAR_RELWD*($5/SCALE))     notitle               with boxes  lt rgb "blue", \

doc/theses/mike_brooks_MMath/plots/string-allocn.py

@@ -31 +31 @@
             100:[-1.0, 0.1, 0.2, 0.5, 0.9],
             200:[-1.0, 0.1, 0.2, 0.5, 0.9],
-            500:[-1.0, 0.4, 0.9, 0.98]}
+            500:[-1.0, 0.2, 0.4, 0.9, 0.98]}
 
 defaultExpansions = [-1, 0.2]
@@ -56 +56 @@
 )
 
-combined['is-default'] = np.isin(combined['expansion'], defaultExpansions).astype(int)
+combined = combined.pivot_table( values=['op-duration-ns','hw_cur_req_mem(B)'], index=['corpus-meanlen-tgt', 'sut-platform', 'expansion'], aggfunc=['mean', 'min', 'max'] )
+combined = combined.reset_index()
+combined.columns = combined.columns.to_flat_index()
+
+# text = combined.to_csv(header=True, index=True, sep='\t')
+# print(text)
+
+
+combined['is-default'] = np.isin(combined[('expansion','')], defaultExpansions).astype(int)
+
+
 
 # print ('!!')
@@ -66 +76 @@
 # First, for the CFA curves
 sut = "cfa"
-sutGroup = combined.groupby('sut-platform').get_group(sut)
+sutGroup = combined.groupby(('sut-platform','')).get_group(sut)
 
-groupedSize = sutGroup.groupby('corpus-meanlen')
+groupedSize = sutGroup.groupby(('corpus-meanlen-tgt',''))
 
 for sz, szgroup in groupedSize:
 
     if sz in favSizes.keys():
-            szgroup_sorted = szgroup.sort_values(by='expansion')
+            szgroup_sorted = szgroup.sort_values(by=('expansion',''))
 
             print('"{sut}, len={len}"'.format(sut=sut, len=sz))
             # print(szgroup_sorted)  ##
             # print(szgroup_sorted['expansion'], 'isin', favSizes[sz]) ##
-            favoured = szgroup_sorted.loc[szgroup_sorted['expansion'].isin(favSizes[sz])]
+            favoured = szgroup_sorted.loc[szgroup_sorted[('expansion','')].isin(favSizes[sz])]
             # print('!') ##
             # print(favoured) ##
-            text = favoured[['expansion', 'op-duration-ns', 'hw_cur_req_mem(B)', 'is-default']].to_csv(header=False, index=False, sep='\t')
+            text = favoured[[('expansion',''),
+                             ('mean','op-duration-ns'),
+                             ('min','op-duration-ns'),
+                             ('max','op-duration-ns'),
+                             ('mean', 'hw_cur_req_mem(B)'),
+                             ('min', 'hw_cur_req_mem(B)'),
+                             ('max', 'hw_cur_req_mem(B)'),
+                             'is-default']].to_csv(header=False, index=False, sep='\t')
             print(text)
             print()
@@ -89 +106 @@
 atDefaults = combined.groupby('is-default').get_group(1)
 
-for sz, szgroup in atDefaults.groupby('corpus-meanlen'):
+for sz, szgroup in atDefaults.groupby(('corpus-meanlen-tgt','')):
 
     if sz in favSizes.keys():
             print(sz)
-            text = szgroup[['expansion', 'op-duration-ns', 'hw_cur_req_mem(B)', 'sut-platform']].to_csv(header=False, index=False, sep='\t')
+            text = szgroup[[('expansion',''),
+                            ('mean','op-duration-ns'),
+                            ('min','op-duration-ns'),
+                            ('max','op-duration-ns'),
+                            ('mean', 'hw_cur_req_mem(B)'),
+                            ('min', 'hw_cur_req_mem(B)'),
+                            ('max', 'hw_cur_req_mem(B)'),
+                            ('sut-platform','')]].to_csv(header=False, index=False, sep='\t')
             print(text)
             print()

doc/theses/mike_brooks_MMath/plots/string-pbv-fixcorp.py

@@ -26 +26 @@
 
 
-# Filter operation=pbv, corpus=1-*-1
+# Filter operation=pbv, corpus=100-*-*+*+l1
 
 timings = timings.groupby('operation').get_group('pbv')
-timings = timings.groupby('corpus-nstrs').get_group(1)
-timings = timings.groupby('corpus-runid').get_group(1)
+timings = timings.groupby('corpus-nstrs-tgt').get_group(100)
+timings = timings.groupby('corpus-offset-instr').get_group('l1')
 
 
@@ -41 +41 @@
     if sut in prettyFieldNames:
 
-        sgroup_sorted = sgroup.sort_values(by='corpus-meanlen')
+        sgroup_sorted = sgroup.sort_values(by='corpusMeanLenCharsAct')
 
         print('"{header}"'.format(header=prettyFieldNames[sut]))
-        text = sgroup_sorted[['corpus-meanlen', 'op-duration-ns']].to_csv(header=False, index=False, sep='\t')
+        text = sgroup_sorted[['corpusMeanLenCharsAct', 'op-duration-ns']].to_csv(header=False, index=False, sep='\t')
         print(text)
         print()

doc/theses/mike_brooks_MMath/plots/string-pbv-varcorp.py

@@ -26 +26 @@
 
 
-# Filter operation=pbv, corpus=100-*-1
+# Filter operation=pbv, corpus=100-*-*+*+t0
 
 timings = timings.groupby('operation').get_group('pbv')
-timings = timings.groupby('corpus-nstrs').get_group(100)
-timings = timings.groupby('corpus-runid').get_group(1)
+timings = timings.groupby('corpus-nstrs-tgt').get_group(100)
+timings = timings.groupby('corpus-offset-instr').get_group('t0')
 
 
@@ -41 +41 @@
     if sut in prettyFieldNames:
 
-        sgroup_sorted = sgroup.sort_values(by='corpus-meanlen')
+        sgroup_sorted = sgroup.sort_values(by='corpusMeanLenCharsAct')
 
         print('"{header}"'.format(header=prettyFieldNames[sut]))
-        text = sgroup_sorted[['corpus-meanlen', 'op-duration-ns']].to_csv(header=False, index=False, sep='\t')
+        text = sgroup_sorted[['corpusMeanLenCharsAct', 'op-duration-ns']].to_csv(header=False, index=False, sep='\t')
         print(text)
         print()

doc/theses/mike_brooks_MMath/plots/string-pbv.gp

@@ -25 +25 @@
 set linetype 4 dashtype 2
 plot INDIR."/plot-string-pbv-varcorp.dat" \
-           i 0 using 1:2 title columnheader(1) with linespoints lt rgb "red"    pt  3  ps 1 lw 1, \
-        '' i 1 using 1:2 title columnheader(1) with linespoints lt rgb "blue"   pt  6  ps 1 lw 1
+           i 0 using 1:2 title columnheader(1) with points lt rgb "red"  pt  3  ps 1, \
+        '' i 1 using 1:2 title columnheader(1) with points lt rgb "blue" pt  6  ps 1
 
 set xlabel "String length passed, fixed"
 set ylabel
 plot INDIR."/plot-string-pbv-fixcorp.dat"  \
-           i 0 using 1:2 title columnheader(1) with linespoints lt rgb "red"    pt  3  ps 1 lw 1, \
-        '' i 1 using 1:2 title columnheader(1) with linespoints lt rgb "blue"   pt  6  ps 1 lw 1
+           i 0 using 1:2 title columnheader(1) with points lt rgb "red"  pt  3  ps 1, \
+        '' i 1 using 1:2 title columnheader(1) with points lt rgb "blue" pt  6  ps 1
 
 unset multiplot

doc/theses/mike_brooks_MMath/plots/string-peq-cppemu.gp

@@ -20 +20 @@
 set linetype 4 dashtype 2
 plot INDIR."/plot-string-peq-cppemu.dat" \
-           i 0 using 1:2 title columnheader(1) with linespoints lt rgb "red"    pt  2  ps 1 lw 1, \
-        '' i 1 using 1:2 title columnheader(1) with linespoints lt rgb "red"    pt  3  ps 1 lw 1, \
-        '' i 2 using 1:2 title columnheader(1) with linespoints lt rgb "blue"   pt  6  ps 1 lw 1, \
-        '' i 3  using 1:2 title columnheader(1) with linespoints lt rgb "blue"  pt  8  ps 1 lw 1
+           i 0 using 1:2 title columnheader(1)  with points lt rgb "red"  pt  2  ps 1, \
+        '' i 1 using 1:2 title columnheader(1)  with points lt rgb "red"  pt  1  ps 1, \
+        '' i 2 using 1:2 title columnheader(1)  with points lt rgb "blue" pt  6  ps 1, \
+        '' i 3  using 1:2 title columnheader(1) with points lt rgb "blue" pt  8  ps 1

doc/theses/mike_brooks_MMath/plots/string-peq-cppemu.py

@@ -27 +27 @@
 timings = loadParseTimingData('result-append-pbv.csv')
 
-# Filter operation=peq, corpus=100-*-1
+# Filter operation=peq, corpus=100-*-*+*+t0
 
 timings = timings.groupby('operation').get_group('peq')
-timings = timings.groupby('corpus-nstrs').get_group(100)
-timings = timings.groupby('corpus-runid').get_group(1)
+timings = timings.groupby('corpus-nstrs-tgt').get_group(100)
+timings = timings.groupby('corpus-offset-instr').get_group('t0')
+
+
 
 # Emit in groups
@@ -41 +43 @@
     if sut in prettyFieldNames:
 
-        sgroup_sorted = sgroup.sort_values(by='corpus-meanlen')
+        sgroup_sorted = sgroup.sort_values(by='corpusMeanLenCharsAct')
 
         print('"{header}"'.format(header=prettyFieldNames[sut]))
-        text = sgroup_sorted[['corpus-meanlen', 'op-duration-ns']].to_csv(header=False, index=False, sep='\t')
+        text = sgroup_sorted[['corpusMeanLenCharsAct', 'op-duration-ns']].to_csv(header=False, index=False, sep='\t')
         print(text)
         print()

doc/theses/mike_brooks_MMath/plots/string-peq-sharing.gp

@@ -20 +20 @@
 set linetype 4 dashtype 2
 plot INDIR."/plot-string-peq-sharing.dat" \
-           i 0 using 1:2 title columnheader(1) with linespoints lt rgb "red"    pt  2  ps 1 lw 1, \
-        '' i 1 using 1:2 title columnheader(1) with linespoints lt rgb "red"    pt  3  ps 1 lw 1, \
-        '' i 2 using 1:2 title columnheader(1) with linespoints lt rgb "blue"   pt  6  ps 1 lw 1, \
-        '' i 3  using 1:2 title columnheader(1) with linespoints lt rgb "blue"  pt  8  ps 1 lw 1
+           i 0 using 1:2 title columnheader(1) with points lt rgb "red"  pt  2  ps 1, \
+        '' i 1 using 1:2 title columnheader(1) with points lt rgb "red"  pt  1  ps 1, \
+        '' i 2 using 1:2 title columnheader(1) with points lt rgb "blue" pt  6  ps 1, \
+        '' i 3 using 1:2 title columnheader(1) with points lt rgb "blue" pt  8  ps 1

doc/theses/mike_brooks_MMath/plots/string-peq-sharing.py

@@ -28 +28 @@
 
 
-# Filter operation=peq, corpus=100-*-1
+# Filter operation=peq, corpus=100-*-*+*+t0
 
 timings = timings.groupby('operation').get_group('peq')
-timings = timings.groupby('corpus-nstrs').get_group(100)
-timings = timings.groupby('corpus-runid').get_group(1)
+timings = timings.groupby('corpus-nstrs-tgt').get_group(100)
+timings = timings.groupby('corpus-offset-instr').get_group('t0')
 
 
@@ -43 +43 @@
     if sut in prettyFieldNames:
 
-        sgroup_sorted = sgroup.sort_values(by='corpus-meanlen')
+        sgroup_sorted = sgroup.sort_values(by='corpusMeanLenCharsAct')
 
         print('"{header}"'.format(header=prettyFieldNames[sut]))
-        text = sgroup_sorted[['corpus-meanlen', 'op-duration-ns']].to_csv(header=False, index=False, sep='\t')
+        text = sgroup_sorted[['corpusMeanLenCharsAct', 'op-duration-ns']].to_csv(header=False, index=False, sep='\t')
         print(text)
         print()

doc/theses/mike_brooks_MMath/plots/string-pta-sharing.gp

@@ -19 +19 @@
 #show colornames
 plot INDIR."/plot-string-pta-sharing.dat" \
-           i 0 using 1:2 title columnheader(1) with linespoints lt rgb "red"    pt  2  ps 1 lw 1, \
-        '' i 1 using 1:2 title columnheader(1) with linespoints lt rgb "dark-green" pt  4  ps 1 lw 1, \
-        '' i 2 using 1:2 title columnheader(1) with linespoints lt rgb "blue"   pt  6  ps 1 lw 1, \
-        '' i 3  using 1:2 title columnheader(1) with linespoints lt rgb "dark-green" pt  12  ps 1 lw 1
+           i 0 using 1:2 title columnheader(1) with points lt rgb "red"        pt  2   ps 1, \
+        '' i 1 using 1:2 title columnheader(1) with points lt rgb "dark-green" pt  4   ps 1, \
+        '' i 2 using 1:2 title columnheader(1) with points lt rgb "blue"       pt  6   ps 1, \
+        '' i 3 using 1:2 title columnheader(1) with points lt rgb "dark-green" pt  12  ps 1

doc/theses/mike_brooks_MMath/plots/string-pta-sharing.py

@@ -32 +32 @@
 
 
-# Filter corpus=100-*-1
+# Filter corpus=100-*-1, corpus=100-*-*+*+t0
 
-timings = timings.groupby('corpus-nstrs').get_group(100)
-timings = timings.groupby('corpus-runid').get_group(1)
+timings = timings.groupby('corpus-nstrs-tgt').get_group(100)
+timings = timings.groupby('corpus-offset-instr').get_group('t0')
 
 # Emit in groups
@@ -50 +50 @@
             if sut in opPretty:
 
-                sgroup_sorted = tgtOpTimings.sort_values(by='corpus-meanlen')
+                sgroup_sorted = tgtOpTimings.sort_values(by='corpusMeanLenCharsAct')
 
                 print('"{header}"'.format(header=opPretty[sut]))
-                text = sgroup_sorted[['corpus-meanlen', 'op-duration-ns']].to_csv(header=False, index=False, sep='\t')
+                text = sgroup_sorted[['corpusMeanLenCharsAct', 'op-duration-ns']].to_csv(header=False, index=False, sep='\t')
                 print(text)
                 print()

doc/theses/mike_brooks_MMath/string.tex

@@ -1538 +1538 @@
 In a result graph, a corpus's mean string length is often the independent variable shown on the X axis.
 
-When a corpus contains strings of different lengths, the lengths are drawn from a geometric distribution.
+When a corpus contains strings of different lengths, the lengths are drawn from a lognormal distribution.
 Therefore, strings much longer than the mean occur less often and strings slightly shorter than the mean occur most often.
 A corpus's string sizes are one of:
 \begin{description}
         \item [Fixed-size] all string lengths are of the stated size.
-        \item [Varying 1 and up] the string lengths are drawn from the geometric distribution with a stated mean and all lengths occur.
-        \item [Varying 16 and up] string lengths are drawn from the geometric distribution with the stated mean, but only lengths 16 and above occur; thus, the stated mean is above 16.
+        \item [Varying 1 and up] the string lengths are drawn from the lognormal distribution with a stated mean and all lengths occur.
+        \item [Varying 16 and up] string lengths are drawn from the lognormal distribution with the stated mean, but only lengths 16 and above occur; thus, the stated mean is above 16.
 \end{description}
 The special treatment of length 16 deals with the SSO in STL @string@, currently not implemented in \CFA.
@@ -1812 +1812 @@
         \begin{tabularx}{\linewidth}{>{\centering\arraybackslash}X >{\centering\arraybackslash}X} (a) & (b) \end{tabularx}
         \caption{Average time per iteration (lower is better) with one call to a function that takes a by-value string argument, comparing \CFA (having implicit sharing activated) with STL.
-(a) With \emph{Varying-from-1} corpus construction, in which the STL-only benefit of SSO optimization occurs, in varying degrees, at all string sizes.
+(a) With \emph{Varying 1 and up} corpus construction, in which the STL-only benefit of SSO optimization occurs, in varying degrees, at all string sizes.
 (b) With \emph{Fixed-size} corpus construction, in which this benefit applies exactly to strings with length below 16.}
         \label{fig:string-graph-pbv}
@@ -1860 +1860 @@
 \centering
   \includegraphics{string-perf-alloc.pdf}
-  \caption{}
+  \caption{Memory-allocation test's harness and its resulting pattern of memory usage under a bump-pointer-only scheme.}
   \label{fig:string-perf-alloc}
 \end{figure}
@@ -1893 +1893 @@
 \centering
   \includegraphics{plot-string-allocn.pdf}
-% \includegraphics[width=\textwidth]{string-graph-allocn.png}
-  \caption{Space and time performance, under varying fraction-live targets, for the five string lengths shown, at \emph{Fixed-size} corpus construction.
-[MISSING] The identified clusters are for the default fraction-live target, which is 30\%.
-MISSING: STL results, typically just below the 0.5--0.9 \CFA segment.
+  \begin{tabularx}{\linewidth}{>{\centering\arraybackslash}X >{\centering\arraybackslash}X} (a) & (b) \end{tabularx}
+  \caption{Space and time performance, under varying fraction-live targets, for the five string lengths shown, at \emph{Varying 16 and up} corpus construction.
 }
   \label{fig:string-graph-allocn}
@@ -1902 +1900 @@
 
 \VRef[Figure]{fig:string-graph-allocn} shows the results of this experiment.
-At all string sizes, varying the liveness threshold gives speed-for-space tradeoffs relative to STL.
-At the default liveness threshold, all measured string sizes see a ??\%--??\% speedup for a ??\%--??\% increase in memory footprint.
-
+In plot (a), there is one labeled curve for each of the five chosen string sizes.
+A labeled curve shows the \CFA speed and space combinations achievable by varying the fraction-live tuning parameter.
+Stepping along the curve from top-left toward bottom-right means demanding that the string library have a smaller fraction of if its heap remain live after collection, \ie that the heap should double its size more readily.
+So a subsequent data point on a curve is approximately double the prior point's memory.
+This additional memory allows for less time spent collecting, so the point shows a lower time per operation.
+This benefit of doubling is diminishing, so the curves begin steep and end flatter.
+The point chosen as \CFA's default liveness threshold (20\%) is marked.
+At most string lengths, this point occurs as the doubling benefit becomes subjectively negligible.
+At len-500, the amount of space needed to achieve 20\% liveness is so much that last-level cache misses begin occurring, and a further slowdown occurs.
+This effect is an anomaly of the experimental setup trying to compare such varied sizes in one view; the len-500 default point is included only to provide a holisitc picture of the STL comparisons (discussed next).
+
+Staying within plot (a), each ``tradeoff'' line connects the default-tuned \CFA performance point with its lenght-equivalent STL performance point.
+STL always uses less memory than (occurs to the left of) its \CFA equivalent.
+Ideally, \CFA would boast that its results are always faster (STL occurs above it); however, this effect is only realized for smaller string lenghts.
+There, the STL-to-\CFA tradeoff line goes down and to the right, but for longer strings, it goes up and to the right.
+
+Plot (b) offers insight into why larger lengths are not currently showing the anticipated tradeoff, and suggests possible remedies.
+This plot breaks down the time spent, comparing STL--\CFA tradeoffs, at successful len-50 with unsuccessful len-200.
+Data are sourced from running the experiment under \emph{perf}, recording samples of the call stack, and imposing a mutially-exclusive classification on these call stacks.
+Reading a stacked bar from the top down, \emph{text import} capturs samples where a routine like @memcpy@ is running, so that the string library is copying characters from the corpus source into its allocated working space.
+\emph{Malloc-free} means literally one of those routines (taking nontrivial time only for STL), while \emph{gc} is the direct \CFA(-only) eqivalent.
+All of the attributions so far occur while a string constructor is live; further time spent in a string's lifecycle management functions is attributed \emph{ctor-dtor}.
+Skipping to the bottom-most attribution, \emph{harness-leaf} represents samples where the youngest live stack frame is simply the recursive @helper@ routine of \VRef[Figure]{fig:string-perf-alloc}.
+The skipped attribution \emph{Other} has samples that meet none of the criteria above.
+
+\PAB{From Mike: need to add the sep-comp side bar to the graph.}
+
+Beside \CFA's principal bars, a bar for separate-compilation overhead (\emph{sep.\ comp.}) shows the benefit that STL enjoys by using monolithic compilation.
+\CFA currently forgoes this benefit.
+This overhead figure was obtained by hacking a version of the \CFA string library to have a header-only implementation and measuring the resulting speed.
+The difference between separately compiled (normal) and header-only (hacked) versions is the reported overhead.
+It represents how much \CFA could speed up if it switched to a header-only implementation, to match STL.
+The difference jumps noticeably between the different string sizes, but has little correlation with string size ($r=0.3$).
+Associating this potential improvement with the \emph{other} attribution is a stylistic choice.
+
+Analyzing the stacked bars from the bottom up, the first two categories, \emph{harness-leaf} and \emph{other} both give baseline times that should not be matters of STL-\CFA difference.
+The \emph{harness-leaf} category is called out as a quality check; this attribution is equal across all four setups, ruling out mysterious ``everything is X\% slower'' effects.
+But with the \emph{other} attribution, STL beats \CFA by an amount that matches the STL's benefit from avoiding separate compilation.
+Continuing upward, the significant differences between STL and \CFA implementations occur.
+In the \emph{ctor-dtor} category, \CFA is spending more time than STL to inter-link its string handles.
+Comparing STL's \emph{malloc-free} with \CFA's \emph{gc}, \CFA's is considerably shorter, in spite of its copying, because \emph{gc} only spends time on live strings, while \emph{malloc-free} works on all strings.
+Most of the every-string bookkeeping occurs under STL's \emph{malloc-free} and \CFA's \emph{ctor-dtor}.
+So the critical comparison is STL's $(\textit{ctor-dtor} + \textit{malloc-free})$ \vs \CFA's $(\textit{ctor-dtor} + \textit{gc})$.
+Here, \CFA is a clear winner.
+Moreover, the discussion so far holds for both the successful and unsuccessful string lengths, albeit with the length-correlated duration of \emph{gc} (due to copying) encroching on \CFA's advantage, though not eliminating it.
+The total attributions so far see \CFA ahead, possibly by more than is shown, depending on how one views the separate-compilation difference.
+Under a \CFA-generous separate-compilation stance, \CFA is equal or ahead in every super-category so far.
+
+The remaining attribution, \emph{text-import}, is thus a major reason that \CFA is currently unsuccessful at delivering improved speed with long strings.  \PAB{From Mike: need to finish this point.}
 
 % \subsection{Test: Normalize}