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Last change
on this file was 2b0e754, checked in by Michael Brooks <mlbrooks@…>, 8 weeks ago |
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Continue disabling harness features, achieving best-case times that match Peter's, on the three tests with new CSVs here.
The fully-disabled harness probably still fools the optimizer because it uses the Buhr-Dice "pass function" trick in place of the disabled observation and iterators array. That these times are now often beating Peter's requires further investigation.
Make STL run with (cpp-sltref) and without (cpp-stlrefAlloGlib) llheap.
Include peter-*.csv from runs on Swift. (Thesis still builds with original numbers from labpc.)
Add data post-processing for sorting and aggregation, leveraging thesis's plots' framework.
Add makefile-saved setups for matching Peter.
Add ability to disable "observation" (use of volatiles) and iterators array (support for remelem).
Add integrated clean-build-run targets for varying the "disable" switches.
Strengthen disable-interleaving mode to avoid the extra loops on remove.
Still to entertain some of this stripping being unnecessary for achieving near Peter-match.
Still to compare costs of the relevant stripped features, and recommend harness variation(s) to for use in thesis.
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| 1 | import pandas as pd
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| 2 | import numpy as np
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| 3 | import os
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| 4 | import sys
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| 5 |
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| 6 | sys.path.insert(0, os.path.dirname(__file__) + "../../plots")
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| 7 | from ListCommon import *
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| 8 |
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| 9 | printSingleDetail(
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| 10 | infileLocal = sys.argv[1]
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| 11 | )
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