Changeset 223a633 for doc/theses
- Timestamp:
- Oct 15, 2020, 3:41:38 PM (4 years ago)
- Branches:
- ADT, arm-eh, ast-experimental, enum, forall-pointer-decay, jacob/cs343-translation, master, new-ast-unique-expr, pthread-emulation, qualifiedEnum
- Children:
- b9537e6
- Parents:
- 33c3ded (diff), 0b18db7 (diff)
Note: this is a merge changeset, the changes displayed below correspond to the merge itself.
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links above to see all the changes relative to each parent. - Location:
- doc/theses
- Files:
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- 10 added
- 3 edited
- 23 moved
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doc/theses/andrew_beach_MMath/thesis.tex
r33c3ded r223a633 34 34 \usepackage[toc,abbreviations]{glossaries-extra} 35 35 36 % Main glossary entries -- definitions of relevant terminology 37 \newglossaryentry{computer} 38 { 39 name=computer, 40 description={A programmable machine that receives input data, 41 stores and manipulates the data, and provides 42 formatted output} 43 } 44 45 % Nomenclature glossary entries -- New definitions, or unusual terminology 46 \newglossary*{nomenclature}{Nomenclature} 47 \newglossaryentry{dingledorf} 48 { 49 type=nomenclature, 50 name=dingledorf, 51 description={A person of supposed average intelligence who makes incredibly 52 brainless misjudgments} 53 } 54 55 % List of Abbreviations (abbreviations are from the glossaries-extra package) 56 \newabbreviation{aaaaz}{AAAAZ}{American Association of Amature Astronomers 57 and Zoologists} 58 59 % List of Symbols 60 \newglossary*{symbols}{List of Symbols} 61 \newglossaryentry{rvec} 62 { 63 name={$\mathbf{v}$}, 64 sort={label}, 65 type=symbols, 66 description={Random vector: a location in n-dimensional Cartesian space, where 67 each dimensional component is determined by a random process} 68 } 36 % Define all the glossaries. 37 \input{glossaries} 69 38 70 39 % Generate the glossaries defined above. -
doc/theses/fangren_yu_COOP_S20/Makefile
r33c3ded r223a633 46 46 # File Dependencies # 47 47 48 49 48 ${DOCUMENT} : ${BASE}.ps 50 49 ps2pdf $< -
doc/theses/fangren_yu_COOP_S20/Report.tex
r33c3ded r223a633 1 \documentclass[twoside,1 2pt]{article}1 \documentclass[twoside,11pt]{article} 2 2 3 3 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% … … 11 11 \usepackage[labelformat=simple,aboveskip=0pt,farskip=0pt]{subfig} 12 12 \renewcommand{\thesubfigure}{\alph{subfigure})} 13 \usepackage[flushmargin]{footmisc} % support label/reference in footnote 13 14 \usepackage{latexsym} % \Box glyph 14 15 \usepackage{mathptmx} % better math font with "times" 16 \usepackage[toc]{appendix} % article does not have appendix 15 17 \usepackage[usenames]{color} 16 18 \input{common} % common CFA document macros 17 19 \usepackage[dvips,plainpages=false,pdfpagelabels,pdfpagemode=UseNone,colorlinks=true,pagebackref=true,linkcolor=blue,citecolor=blue,urlcolor=blue,pagebackref=true,breaklinks=true]{hyperref} 18 20 \usepackage{breakurl} 21 \urlstyle{sf} 22 23 % reduce spacing 24 \setlist[itemize]{topsep=5pt,parsep=0pt}% global 25 \setlist[enumerate]{topsep=5pt,parsep=0pt}% global 19 26 20 27 \usepackage[pagewise]{lineno} … … 26 33 \renewcommand{\textunderscore}{\leavevmode\makebox[1.2ex][c]{\rule{1ex}{0.075ex}}} 27 34 \newcommand{\NOTE}{\textbf{NOTE}} 35 \newcommand{\TODO}[1]{{\color{Purple}#1}} 28 36 29 37 \setlength{\topmargin}{-0.45in} % move running title into header … … 32 40 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 33 41 34 \CFA Defaults42 \CFAStyle % CFA code-style for all languages 35 43 \lstset{ 36 language=C++, % make C++ the default language 37 escapechar=\$, % LaTeX escape in CFA code 38 moredelim=**[is][\color{red}]{`}{`}, 44 language=C++,moredelim=**[is][\color{red}]{@}{@} % make C++ the default language 39 45 }% lstset 40 \lstMakeShortInline@%41 46 \lstnewenvironment{C++}[1][] % use C++ style 42 {\lstset{language=C++,moredelim=**[is][\protect\color{red}]{`}{`},#1}} 43 {} 47 {\lstset{language=C++,moredelim=**[is][\color{red}]{@}{@}}\lstset{#1}}{} 44 48 45 49 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% … … 84 88 \section{Overview} 85 89 86 cfa-cc is the reference compiler for the \CFA programming language, which is a non- 87 object-oriented extension to C. 88 \CFA attempts to introduce productive modern programming language features to C 89 while maintaining as much backward-compatibility as possible, so that most existing C 90 programs can seamlessly work with \CFA. 91 92 Since the \CFA project was dated back to the early 2000s, and only restarted in the past 93 few years, there is a significant amount of legacy code in the current compiler codebase, 94 with little proper documentation available. This becomes a difficulty while developing new 95 features based on the previous implementations, and especially while diagnosing 96 problems. 97 98 Currently, the \CFA team is also facing another problem: bad compiler performance. For 99 the development of a new programming language, writing a standard library is an 100 important part. The incompetence of the compiler causes building the library files to take 101 tens of minutes, making iterative development and testing almost impossible. There is 102 ongoing effort to rewrite the core data structure of the compiler to overcome the 103 performance issue, but many bugs may appear during the work, and lack of documentation 104 makes debugging extremely difficult. 105 106 This developer's reference will be continuously improved and eventually cover the 107 compiler codebase. For now, the focus is mainly on the parts being rewritten, and also the 108 performance bottleneck, namely the resolution algorithm. It is aimed to provide new 109 developers to the project enough guidance and clarify the purposes and behavior of certain 110 functions which are not mentioned in the previous \CFA research papers. 90 @cfa-cc@ is the reference compiler for the \CFA programming language, which is a non-object-oriented extension to C. 91 \CFA attempts to introduce productive modern programming language features to C while maintaining as much backward-compatibility as possible, so that most existing C programs can seamlessly work with \CFA. 92 93 Since the \CFA project dates back to the early 2000s, and only restarted in the past few years, there is a significant amount of legacy code in the current compiler codebase with little documentation. 94 The lack of documentation makes it difficult to develop new features from the current implementation and diagnose problems. 95 96 Currently, the \CFA team is also facing poor compiler performance. 97 For the development of a new programming language, writing standard libraries is an important component. 98 The slow compiler causes building of the library files to take tens of minutes, making iterative development and testing almost impossible. 99 There is an ongoing effort to rewrite the core data-structure of the compiler to overcome the performance issue, but many bugs have appeared during this work, and lack of documentation is hampering debugging. 100 101 This developer's reference manual begins the documentation and should be continuously im\-proved until it eventually covers the entire compiler codebase. 102 For now, the focus is mainly on the parts being rewritten, and also the primary performance bottleneck, namely the resolution algorithm. 103 Its aimed is to provide new project developers with guidance in understanding the codebase, and clarify the purpose and behaviour of certain functions that are not mentioned in the previous \CFA research papers~\cite{Bilson03,Ditchfield92,Moss19}. 111 104 112 105 113 106 \section{Compiler Framework} 114 107 108 \CFA source code is first transformed into an abstract syntax tree (AST) by the parser before analyzed by the compiler. 109 110 115 111 \subsection{AST Representation} 116 112 117 Source code input is first transformed into abstract syntax tree (AST) representation by the 118 parser before analyzed by the compiler. 119 120 There are 4 major categories of AST nodes used by the compiler, along with some derived 121 structures. 122 123 \subsubsection{Declaration nodes} 113 114 There are 4 major categories of AST nodes used by the compiler, along with some derived structures. 115 116 \subsubsection{Declaration Nodes} 124 117 125 118 A declaration node represents either of: 126 119 \begin{itemize} 127 120 \item 128 Type declaration: struct, union, typedef or type parameter (see Appendix A.3)129 \item 130 Variable declaration131 \item 132 Function declaration121 type declaration: @struct@, @union@, @typedef@ or type parameter (see \VRef[Appendix]{s:KindsTypeParameters}) 122 \item 123 variable declaration 124 \item 125 function declaration 133 126 \end{itemize} 134 127 Declarations are introduced by standard C declarations, with the usual scoping rules. 135 In addition, declarations can also be introduced by the forall clause (which is the origin 136 of \CFA's name): 128 In addition, declarations can also be qualified by the \lstinline[language=CFA]@forall@ clause (which is the origin of \CFA's name): 137 129 \begin{cfa} 138 forall ( <$\emph{TypeParameterList}$> | <$\emph{AssertionList}$>)130 forall ( <$\emph{TypeParameterList}$> | <$\emph{AssertionList}$> ) 139 131 $\emph{declaration}$ 140 132 \end{cfa} 141 Type parameters in \CFA are similar to \CC template type parameters. The \CFA142 declaration133 Type parameters in \CFA are similar to \CC template type parameters. 134 The \CFA declaration 143 135 \begin{cfa} 144 136 forall (dtype T) ... 145 137 \end{cfa} 146 behaves similarly asthe \CC template declaration138 behaves similarly to the \CC template declaration 147 139 \begin{C++} 148 140 template <typename T> ... 149 141 \end{C++} 150 142 151 Assertions are a distinctive feature of \CFA: contrary to the \CC template where 152 arbitrary functions and operators can be used in a template definition, in a \CFA 153 parametric function, operations on parameterized types must be declared in assertions. 154 143 Assertions are a distinctive feature of \CFA, similar to \emph{interfaces} in D and Go, and \emph{traits} in Rust. 144 Contrary to the \CC template where arbitrary functions and operators can be used in a template definition, in a \CFA parametric function, operations on parameterized types must be declared in assertions. 155 145 Consider the following \CC template: 156 146 \begin{C++} 157 template <typename T> int foo(T t) {158 return bar(t) + baz(t);147 @template@ forall<typename T> T foo( T t ) { 148 return t + t * t; 159 149 } 160 150 \end{C++} 161 Unless bar and baz are also parametric functions taking any argument type, they must be 162 declared in the assertions, or otherwise the code will not compile: 151 where there are no explicit requirements on the type @T@. 152 Therefore, the \CC compiler must deduce what operators are required during textual (macro) expansion of the template at each usage. 153 As a result, templates cannot be compiled. 154 \CFA assertions specify restrictions on type parameters: 163 155 \begin{cfa} 164 forall (dtype T | { int bar(T); int baz(t); }) int foo (T t) {165 return bar(t) + baz(t);156 forall( dtype T | @{ T ?+?( T, T ); T ?*?( T, T ) }@ ) int foo ( T t ) { 157 return t + t * t; 166 158 } 167 159 \end{cfa} 168 Assertions are written using the usual function declaration syntax. The scope of type 169 parameters and assertions is the following declaration. 170 171 \subsubsection{Type nodes} 172 173 A type node represents the type of an object or expression. 174 Named types reference the corresponding type declarations. The type of a function is its 175 function pointer type (same as standard C). 176 With the addition of type parameters, named types may contain a list of parameter values 177 (actual parameter types). 178 179 \subsubsection{Statement nodes} 180 181 Statement nodes represent the statements in the program, including basic expression 182 statements, control flows and blocks. 160 Assertions are written using the usual \CFA function declaration syntax. 161 Only types with operators ``@+@'' and ``@*@'' work with this function, and the function prototype is sufficient to allow separate compilation. 162 163 Type parameters and assertions are used in the following compiler data-structures. 164 165 166 \subsubsection{Type Nodes} 167 168 Type nodes represent the type of an object or expression. 169 Named types reference the corresponding type declarations. 170 The type of a function is its function pointer type (same as standard C). 171 With the addition of type parameters, named types may contain a list of parameter values (actual parameter types). 172 173 174 \subsubsection{Statement Nodes} 175 176 Statement nodes represent the executable statements in the program, including basic expression statements, control flows and blocks. 183 177 Local declarations (within a block statement) are represented as declaration statements. 184 178 185 \subsubsection{Expression nodes} 186 187 Some expressions are represented differently in the compiler before and after resolution 188 stage:179 180 \subsubsection{Expression Nodes} 181 182 Some expressions are represented differently before and after the resolution stage: 189 183 \begin{itemize} 190 184 \item 191 Name expressions: NameExpr pre-resolution, VariableExpr post-resolution 192 \item 193 Member expressions: UntypedMemberExpr pre-resolution, MemberExpr post-resolution 194 \item 195 Function call expressions (including overloadable operators): UntypedExpr pre-resolution, ApplicationExpr post-resolution 185 Name expressions: @NameExpr@ pre-resolution, @VariableExpr@ post-resolution 186 \item 187 Member expressions: @UntypedMemberExpr@ pre-resolution, @MemberExpr@ post-resolution 188 \item 189 \begin{sloppypar} 190 Function call expressions (including overloadable operators): @UntypedExpr@ pre-resolution, @ApplicationExpr@ post-resolution 191 \end{sloppypar} 196 192 \end{itemize} 197 The pre-resolution representation s contain only the symbols. Post-resolution results link198 them to the actual variable and function declarations.193 The pre-resolution representation contains only the symbols. 194 Post-resolution links them to the actual variable and function declarations. 199 195 200 196 201 197 \subsection{Compilation Passes} 202 198 203 Compilation steps are implemented as passes, which follows a general structural recursion 204 pattern on the syntax tree. 205 206 The basic work flow of compilation passes follows preorder and postorder traversal on 207 tree data structure, implemented with visitor pattern, and can be loosely described with 208 the following pseudocode: 209 \begin{C++} 210 Pass::visit (node_t node) { 211 previsit(node); 212 if (visit_children) 199 Compilation steps are implemented as passes, which follows a general structural recursion pattern on the syntax tree. 200 201 The basic workflow of compilation passes follows preorder and postorder traversal on the AST data-structure, implemented with visitor pattern, and can be loosely described with the following pseudocode: 202 \begin{C++} 203 Pass::visit( node_t node ) { 204 previsit( node ); 205 if ( visit_children ) 213 206 for each child of node: 214 child.accept( this);215 postvisit( node);207 child.accept( this ); 208 postvisit( node ); 216 209 } 217 210 \end{C++} 218 Operations in previsit() happen in preorder (top to bottom) and operations in 219 postvisit() happen in postorder (bottom to top). The precise order of recursive 220 operations on child nodes can be found in @Common/PassVisitor.impl.h@ (old) and 221 @AST/Pass.impl.hpp@ (new). 222 Implementations of compilation passes need to follow certain conventions: 211 Operations in @previsit@ happen in preorder (top to bottom) and operations in @postvisit@ happen in postorder (bottom to top). 212 The precise order of recursive operations on child nodes can be found in @Common/PassVisitor.impl.h@ (old) and @AST/Pass.impl.hpp@ (new). 213 214 Implementations of compilation passes follow certain conventions: 223 215 \begin{itemize} 224 216 \item 225 Passes \textbf{should not} directly override the visit method (Non-virtual Interface 226 principle); if a pass desires different recursion behavior, it should set 227 @visit_children@ to false and perform recursive calls manually within previsit or 228 postvisit procedures. To enable this option, inherit from @WithShortCircuiting@ mixin. 229 \item 230 previsit may mutate the node but \textbf{must not} change the node type or return null. 231 \item 232 postvisit may mutate the node, reconstruct it to a different node type, or delete it by 233 returning null. 217 Passes \textbf{should not} directly override the visit method (Non-virtual Interface principle); 218 if a pass desires different recursion behaviour, it should set @visit_children@ to false and perform recursive calls manually within previsit or postvisit procedures. 219 To enable this option, inherit from the @WithShortCircuiting@ mixin. 220 \item 221 previsit may mutate the node but \textbf{must not} change the node type or return @nullptr@. 222 \item 223 postvisit may mutate the node, reconstruct it to a different node type, or delete it by returning @nullptr@. 234 224 \item 235 225 If the previsit or postvisit method is not defined for a node type, the step is skipped. 236 If the return type is declared as void, the original node is returned by default. These237 behaviors are controlled by template specialization rules; see 238 @Common/PassVisitor.proto.h@ (old) and @AST/Pass.proto.hpp@ (new) for details.226 If the return type is declared as @void@, the original node is returned by default. 227 These behaviours are controlled by template specialization rules; 228 see @Common/PassVisitor.proto.h@ (old) and @AST/@ @Pass.proto.hpp@ (new) for details. 239 229 \end{itemize} 240 230 Other useful mixin classes for compilation passes include: 241 231 \begin{itemize} 242 232 \item 243 WithGuards allows saving values of variables and restore automatically upon exiting 244 the current node. 245 \item 246 WithVisitorRef creates a wrapped entity of current pass (the actual argument 247 passed to recursive calls internally) for explicit recursion, usually used together 248 with WithShortCircuiting. 249 \item 250 WithSymbolTable gives a managed symbol table with built-in scoping rule handling 251 (\eg on entering and exiting a block statement) 233 @WithGuards@ allows saving and restoring variable values automatically upon entering/exiting the current node. 234 \item 235 @WithVisitorRef@ creates a wrapped entity for the current pass (the actual argument passed to recursive calls internally) for explicit recursion, usually used together with @WithShortCircuiting@. 236 \item 237 @WithSymbolTable@ gives a managed symbol table with built-in scoping-rule handling (\eg on entering and exiting a block statement) 252 238 \end{itemize} 253 \NOTE: If a pass extends the functionality of another existing pass, due to \CC overloading 254 resolution rules, it \textbf{must} explicitly introduce the inherited previsit and postvisit procedures 255 to its own scope, or otherwise they will not be picked up by template resolution: 239 \NOTE: If a pass extends the functionality of another existing pass, due to \CC overloading resolution rules, it \textbf{must} explicitly introduce the inherited previsit and postvisit procedures to its own scope, or otherwise they are not picked up by template resolution: 256 240 \begin{C++} 257 241 class Pass2: public Pass1 { 258 using Pass1::previsit;259 using Pass1::postvisit;242 @using Pass1::previsit;@ 243 @using Pass1::postvisit;@ 260 244 // new procedures 261 245 } … … 263 247 264 248 265 \subsection{Data Structure Change WIP (new-ast)} 266 267 It has been observed that excessive copying of syntax tree structures accounts for a 268 majority of computation cost and significantly slows down the compiler. In the previous 269 implementation of the syntax tree, every internal node has a unique parent; therefore all 270 copies are required to duplicate everything down to the bottom. A new, experimental 271 re-implementation of the syntax tree (source under directory AST/ hereby referred to as 272 ``new-ast'') attempts to overcome this issue with a functional approach that allows sharing 273 of common sub-structures and only makes copies when necessary. 274 275 The core of new-ast is a customized implementation of smart pointers, similar to 276 @std::shared_ptr@ and @std::weak_ptr@ in \CC standard library. Reference counting is 277 used to detect sharing and allows optimization. For a purely functional (a.k.a. immutable) 278 data structure, all mutations are modelled by shallow copies along the path of mutation. 249 \subsection{Data Structure Change (new-ast)} 250 251 It has been observed that excessive copying of syntax tree structures accounts for a majority of computation cost and significantly slows down the compiler. 252 In the previous implementation of the syntax tree, every internal node has a unique parent; 253 therefore all copies are required to duplicate the entire subtree. 254 A new, experimental re-implementation of the syntax tree (source under directory @AST/@ hereby referred to as ``new-ast'') attempts to overcome this issue with a functional approach that allows sharing of common sub-structures and only makes copies when necessary. 255 256 The core of new-ast is a customized implementation of smart pointers, similar to @std::shared_ptr@ and @std::weak_ptr@ in the \CC standard library. 257 Reference counting is used to detect sharing and allowing certain optimizations. 258 For a purely functional (immutable) data-structure, all mutations are modelled by shallow copies along the path of mutation. 279 259 With reference counting optimization, unique nodes are allowed to be mutated in place. 280 This however, may potentially introduce some complications and bugs; a few issues are 281 discussed near the end of this section. 282 283 \subsubsection{Source: AST/Node.hpp} 284 285 class @ast::Node@ is the base class of all new-ast node classes, which implements 286 reference counting mechanism. Two different counters are recorded: ``strong'' reference 287 count for number of nodes semantically owning it; ``weak'' reference count for number of 288 nodes holding a mere reference and only need to observe changes. 289 class @ast::ptr_base@ is the smart pointer implementation and also takes care of 290 resource management. 291 292 Direct access through the smart pointer is read-only. A mutable access should be obtained 293 by calling shallowCopy or mutate as below. 294 295 Currently, the weak pointers are only used to reference declaration nodes from a named 296 type, or a variable expression. Since declaration nodes are intended to denote unique 297 entities in the program, weak pointers always point to unique (unshared) nodes. This may 298 change in the future, and weak references to shared nodes may introduce some problems; 260 This however, may potentially introduce some complications and bugs; 261 a few issues are discussed near the end of this section. 262 263 264 \subsubsection{Source: \lstinline{AST/Node.hpp}} 265 266 Class @ast::Node@ is the base class of all new-ast node classes, which implements reference counting mechanism. 267 Two different counters are recorded: ``strong'' reference count for number of nodes semantically owning it; 268 ``weak'' reference count for number of nodes holding a mere reference and only need to observe changes. 269 Class @ast::ptr_base@ is the smart pointer implementation and also takes care of resource management. 270 271 Direct access through the smart pointer is read-only. 272 A mutable access should be obtained by calling @shallowCopy@ or mutate as below. 273 274 Currently, the weak pointers are only used to reference declaration nodes from a named type, or a variable expression. 275 Since declaration nodes are intended to denote unique entities in the program, weak pointers always point to unique (unshared) nodes. 276 This property may change in the future, and weak references to shared nodes may introduce some problems; 299 277 see mutate function below. 300 278 301 All node classes should always use smart pointers in the structure and should not use raw 302 pointers. 303 279 All node classes should always use smart pointers in structure definitions versus raw pointers. 280 Function 304 281 \begin{C++} 305 282 void ast::Node::increment(ref_type ref) 306 283 \end{C++} 307 Increments this node's strong or weak reference count. 284 increments this node's strong or weak reference count. 285 Function 308 286 \begin{C++} 309 287 void ast::Node::decrement(ref_type ref, bool do_delete = true) 310 288 \end{C++} 311 Decrements this node's strong or weak reference count. If strong reference count reaches 312 zero, the node is deleted by default. 313 \NOTE: Setting @do_delete@ to false may result in a detached node. Subsequent code should 314 manually delete the node or assign it to a strong pointer to prevent memory leak. 289 decrements this node's strong or weak reference count. 290 If strong reference count reaches zero, the node is deleted. 291 \NOTE: Setting @do_delete@ to false may result in a detached node. 292 Subsequent code should manually delete the node or assign it to a strong pointer to prevent memory leak. 293 315 294 Reference counting functions are internally called by @ast::ptr_base@. 295 Function 316 296 \begin{C++} 317 297 template<typename node_t> 318 298 node_t * shallowCopy(const node_t * node) 319 299 \end{C++} 320 Returns a mutable, shallow copy of node: all child pointers are pointing to the same child 321 nodes. 300 returns a mutable, shallow copy of node: all child pointers are pointing to the same child nodes. 301 Function 322 302 \begin{C++} 323 303 template<typename node_t> 324 304 node_t * mutate(const node_t * node) 325 305 \end{C++} 326 If node is unique (strong reference count is 1), returns a mutable pointer to the same node. 327 Otherwise, returns shallowCopy(node). 328 It is an error to mutate a shared node that is weak-referenced. Currently this does not 329 happen. The problem may appear once weak pointers to shared nodes (\eg expression 330 nodes) are used; special care will be needed. 331 332 \NOTE: This naive uniqueness check may not be sufficient in some cases. A discussion of the 333 issue is presented at the end of this section. 306 returns a mutable pointer to the same node, if the node is unique (strong reference count is 1); 307 otherwise, it returns @shallowCopy(node)@. 308 It is an error to mutate a shared node that is weak-referenced. 309 Currently this does not happen. 310 A problem may appear once weak pointers to shared nodes (\eg expression nodes) are used; 311 special care is needed. 312 313 \NOTE: This naive uniqueness check may not be sufficient in some cases. 314 A discussion of the issue is presented at the end of this section. 315 Functions 334 316 \begin{C++} 335 317 template<typename node_t, typename parent_t, typename field_t, typename assn_t> 336 const node_t * mutate_field(const node_t * node, field_t parent_t::* field, assn_t && val)318 const node_t * mutate_field(const node_t * node, field_t parent_t::* field, assn_t && val) 337 319 \end{C++} 338 320 \begin{C++} … … 342 324 field_t && val) 343 325 \end{C++} 344 Helpers for mutating a field on a node using pointer to member (creates shallow copy 345 when necessary). 346 347 \subsubsection{Issue: Undetected sharing}348 349 The @mutate@ behavio r described above has a problem: deeper shared nodes may be326 are helpers for mutating a field on a node using pointer to a member function (creates shallow copy when necessary). 327 328 329 \subsubsection{Issue: Undetected Sharing} 330 331 The @mutate@ behaviour described above has a problem: deeper shared nodes may be 350 332 mistakenly considered as unique. \VRef[Figure]{f:DeepNodeSharing} shows how the problem could arise: 351 333 \begin{figure} … … 355 337 \label{f:DeepNodeSharing} 356 338 \end{figure} 357 Suppose that we are working on the tree rooted at P1, which 358 is logically the chain P1-A-B and P2 is irrelevant, and then 359 mutate(B) is called. The algorithm considers B as unique since 360 it is only directly owned by A. However, the other tree P2-A-B 361 indirectly shares the node B and is therefore wrongly mutated. 362 363 To partly address this problem, if the mutation is called higher up the tree, a chain 364 mutation helper can be used: 365 366 \subsubsection{Source: AST/Chain.hpp} 367 339 Given the tree rooted at P1, which is logically the chain P1-A-B, and P2 is irrelevant, assume @mutate(B)@ is called. 340 The algorithm considers B as unique since it is only directly owned by A. 341 However, the other tree P2-A-B indirectly shares the node B and is therefore wrongly mutated. 342 343 To partly address this problem, if the mutation is called higher up the tree, a chain mutation helper can be used. 344 345 \subsubsection{Source: \lstinline{AST/Chain.hpp}} 346 347 Function 368 348 \begin{C++} 369 349 template<typename node_t, Node::ref_type ref_t> 370 350 auto chain_mutate(ptr_base<node_t, ref_t> & base) 371 351 \end{C++} 372 This function returns a chain mutator handle which takes pointer-to-member to go down 373 the tree while creating shallow copies as necessary; see @struct _chain_mutator@ in the 374 source code for details. 375 376 For example, in the above diagram, if mutation of B is wanted while at P1, the call using 377 @chain_mutate@ looks like the following: 352 returns a chain mutator handle that takes pointer-to-member to go down the tree, while creating shallow copies as necessary; 353 see @struct _chain_mutator@ in the source code for details. 354 355 For example, in the above diagram, if mutation of B is wanted while at P1, the call using @chain_mutate@ looks like the following: 378 356 \begin{C++} 379 357 chain_mutate(P1.a)(&A.b) = new_value_of_b; 380 358 \end{C++} 381 Note that if some node in chain mutate is shared (therefore shallow copied), it implies that 382 every node further down will also be copied, thus correctly executing the functional 383 mutation algorithm. This example code creates copies of both A and B and performs 384 mutation on the new nodes, so that the other tree P2-A-B is untouched. 385 However, if a pass traverses down to node B and performs mutation, for example, in 386 @postvisit(B)@, information on sharing higher up is lost. Since the new-ast structure is only in 387 experimental use with the resolver algorithm, which mostly rebuilds the tree bottom-up, 388 this issue does not actually happen. It should be addressed in the future when other 389 compilation passes are migrated to new-ast and many of them contain procedural 390 mutations, where it might cause accidental mutations to other logically independent trees 391 (\eg common sub-expression) and become a bug. 392 393 394 \vspace*{20pt} % FIX ME, spacing problem with this heading ??? 359 \NOTE: if some node in chain mutate is shared (therefore shallow copied), it implies that every node further down is also copied, thus correctly executing the functional mutation algorithm. 360 This example code creates copies of both A and B and performs mutation on the new nodes, so that the other tree P2-A-B is untouched. 361 However, if a pass traverses down to node B and performs mutation, for example, in @postvisit(B)@, information on sharing higher up is lost. 362 Since the new-ast structure is only in experimental use with the resolver algorithm, which mostly rebuilds the tree bottom-up, this issue does not actually happen. 363 It should be addressed in the future when other compilation passes are migrated to new-ast and many of them contain procedural mutations, where it might cause accidental mutations to other logically independent trees (\eg common sub-expression) and become a bug. 364 365 395 366 \section{Compiler Algorithm Documentation} 396 367 397 This documentation currently covers most of the resolver, data structures used in variable 398 and expression resolution, and a few directly related passes. Later passes involving code 399 generation is not included yet; documentation for those will be done afterwards. 368 This compiler algorithm documentation covers most of the resolver, data structures used in variable and expression resolution, and a few directly related passes. 369 Later passes involving code generation are not included yet; 370 documentation for those will be done latter. 371 400 372 401 373 \subsection{Symbol Table} 402 374 403 \NOTE: For historical reasons, the symbol table data structure was called ``indexer'' in the 404 old implementation. Hereby we will be using the name SymbolTable everywhere. 405 The symbol table stores a mapping from names to declarations and implements a similar 406 name space separation rule, and the same scoping rules in standard C.\footnote{ISO/IEC 9899:1999, Sections 6.2.1 and 6.2.3} The difference in 407 name space rule is that typedef aliases are no longer considered ordinary identifiers. 408 In addition to C tag types (struct, union, enum), \CFA introduces another tag type, trait, 409 which is a named collection of assertions. 410 411 \subsubsection{Source: AST/SymbolTable.hpp} 412 413 \subsubsection{Source: SymTab/Indexer.h} 414 375 \NOTE: For historical reasons, the symbol-table data-structure is called @indexer@ in the old implementation. 376 Hereby, the name is changed to @SymbolTable@. 377 The symbol table stores a mapping from names to declarations, implements a similar name-space separation rule, and provides the same scoping rules as standard C.\footnote{ISO/IEC 9899:1999, Sections 6.2.1 and 6.2.3.} 378 The difference in name-space rule is that @typedef@ aliases are no longer considered ordinary identifiers. 379 In addition to C tag-types (@struct@, @union@, @enum@), \CFA introduces another tag type, @trait@, which is a named collection of assertions. 380 381 382 \subsubsection{Source: \lstinline{AST/SymbolTable.hpp}} 383 384 Function 415 385 \begin{C++} 416 386 SymbolTable::addId(const DeclWithType * decl) 417 387 \end{C++} 418 Since \CFA allows overloading of variables and functions, ordinary identifier names need 419 to be mangled. The mangling scheme is closely based on the Itanium \CC ABI,\footnote{\url{https://itanium-cxx-abi.github.io/cxx-abi/abi.html}, Section 5.1} while 420 making adaptations to \CFA specific features, mainly assertions and overloaded variables 421 by type. Naming conflicts are handled by mangled names; lookup by name returns a list of 422 declarations with the same literalidentifier name.423 388 provides name mangling of identifiers, since \CFA allows overloading of variables and functions. 389 The mangling scheme is closely based on the Itanium \CC ABI,\footnote{\url{https://itanium-cxx-abi.github.io/cxx-abi/abi.html}, Section 5.1} while making adaptations to \CFA specific features, mainly assertions and overloaded variables by type. 390 391 Naming conflicts are handled by mangled names; 392 lookup by name returns a list of declarations with the same identifier name. 393 Functions 424 394 \begin{C++} 425 395 SymbolTable::addStruct(const StructDecl * decl) … … 428 398 SymbolTable::addTrait(const TraitDecl * decl) 429 399 \end{C++} 430 Adds a tag type declaration to the symbol table. 400 add a tag-type declaration to the symbol table. 401 Function 431 402 \begin{C++} 432 403 SymbolTable::addType(const NamedTypeDecl * decl) 433 404 \end{C++} 434 Adds a typedef alias to the symbol table. 435 436 \textbf{C Incompatibility Note}: Since Cforall allows using struct, union and enum type names 437 without the keywords, typedef names and tag type names cannot be disambiguated by 438 syntax rules. Currently the compiler puts them together and disallows collision. The 439 following program is valid C but not valid Cforall: 405 adds a @typedef@ alias to the symbol table. 406 407 \textbf{C Incompatibility Note}: Since \CFA allows using @struct@, @union@ and @enum@ type-names without a prefix keyword, as in \CC, @typedef@ names and tag-type names cannot be disambiguated by syntax rules. 408 Currently the compiler puts them together and disallows collision. 409 The following program is valid C but invalid \CFA (and \CC): 440 410 \begin{C++} 441 411 struct A {}; 412 typedef int A; // gcc: ok, cfa: Cannot redefine typedef A 413 struct A sa; // C disambiguates via struct prefix 414 A ia; 415 \end{C++} 416 In practices, such usage is extremely rare, and hence, this change (as in \CC) has minimal impact on existing C programs. 417 The declaration 418 \begin{C++} 419 struct A {}; 420 typedef struct A A; // A is an alias for struct A 421 A a; 422 struct A b; 423 \end{C++} 424 is not an error because the alias name is identical to the original. 425 Finally, the following program is allowed in \CFA: 426 \begin{C++} 442 427 typedef int A; 443 // gcc: ok, cfa: Cannot redefine typedef A 444 \end{C++} 445 In actual practices however, such usage is extremely rare, and typedef struct A A; is 446 not considered an error, but silently discarded. Therefore, we expect this change to have 447 minimal impact on existing C programs. 448 Meanwhile, the following program is allowed in Cforall: 449 \begin{C++} 450 typedef int A; 451 void A(); 428 void A(); // name mangled 452 429 // gcc: A redeclared as different kind of symbol, cfa: ok 453 430 \end{C++} 431 because the function name is mangled. 432 454 433 455 434 \subsection{Type Environment and Unification} 456 435 457 The core of parametric type resolution algorithm. 458 Type Environment organizes type parameters in \textbf{equivalent classes} and maps them to 459 actual types. Unification is the algorithm that takes two (possibly parametric) types and 460 parameter mappings and attempts to produce a common type by matching the type 461 environments. 436 The following core ideas underlie the parametric type-resolution algorithm. 437 A type environment organizes type parameters into \textbf{equivalent classes} and maps them to actual types. 438 Unification is the algorithm that takes two (possibly parametric) types and parameter mappings, and attempts to produce a common type by matching information in the type environments. 462 439 463 440 The unification algorithm is recursive in nature and runs in two different modes internally: 464 441 \begin{itemize} 465 442 \item 466 \textbf{Exact} unification mode requires equivalent parameters to match perfectly; 467 \item 468 \textbf{Inexact} unification mode allows equivalent parameters to be converted to a 469 common type. 443 Exact unification mode requires equivalent parameters to match perfectly. 444 \item 445 Inexact unification mode allows equivalent parameters to be converted to a common type. 470 446 \end{itemize} 471 For a pair of matching parameters (actually, their equivalent classes), if either side is open 472 (not bound to a concrete type yet), they are simply combined. 473 474 Within inexact mode, types are allowed to differ on their cv-qualifiers; additionally, if a 475 type never appear either in parameter list or as the base type of a pointer, it may also be 476 widened (i.e. safely converted). As Cforall currently does not implement subclassing similar 477 to object-oriented languages, widening conversions are on primitive types only, for 478 example the conversion from int to long. 479 480 The need for two unification modes come from the fact that parametric types are 481 considered compatible only if all parameters are exactly the same (not just compatible). 482 Pointer types also behaves similarly; in fact, they may be viewed as a primitive kind of 483 parametric types. @int*@ and @long*@ are different types, just like @vector(int)@ and 484 @vector(long)@ are, for the parametric type @vector(T)@. 485 486 The resolver should use the following ``@public@'' functions:\footnote{ 487 Actual code also tracks assertions on type parameters; those extra arguments are omitted here for 488 conciseness.} 489 490 491 \subsubsection{Source: ResolvExpr/Unify.cc} 492 493 \begin{C++} 494 bool unify(const Type *type1, const Type *type2, TypeEnvironment &env, 495 OpenVarSet &openVars, const SymbolTable &symtab, Type *&commonType) 496 \end{C++} 497 Attempts to unify @type1@ and @type2@ with current type environment. 498 499 If operation succeeds, @env@ is modified by combining the equivalence classes of matching 500 parameters in @type1@ and @type2@, and their common type is written to commonType. 501 502 If operation fails, returns false. 503 \begin{C++} 504 bool typesCompatible(const Type * type1, const Type * type2, const 505 SymbolTable &symtab, const TypeEnvironment &env) 506 bool typesCompatibleIgnoreQualifiers(const Type * type1, const Type * 507 type2, const SymbolTable &symtab, const TypeEnvironment &env) 508 \end{C++} 509 510 Determines if type1 and type2 can possibly be the same type. The second version ignores 511 the outermost cv-qualifiers if present.\footnote{ 512 In const \lstinline@int * const@, only the second \lstinline@const@ is ignored.} 513 514 The call has no side effect. 515 516 \NOTE: No attempts are made to widen the types (exact unification is used), although the 517 function names may suggest otherwise. E.g. @typesCompatible(int, long)@ returns false. 447 For a pair of matching parameters (actually, their equivalent classes), if either side is open (not bound to a concrete type yet), they are combined. 448 449 Within the inexact mode, types are allowed to differ on their cv-qualifiers (\eg @const@, @volatile@, \etc); 450 additionally, if a type never appear either in a parameter list or as the base type of a pointer, it may also be widened (\ie safely converted). 451 As \CFA currently does not implement subclassing as in object-oriented languages, widening conversions are only on the primitive types, \eg conversion from @int@ to @long int@. 452 453 The need for two unification modes comes from the fact that parametric types are considered compatible only if all parameters are exactly the same (not just compatible). 454 Pointer types also behaves similarly; 455 in fact, they may be viewed as a primitive kind of parametric types. 456 @int *@ and @long *@ are different types, just like @vector(int)@ and @vector(long)@ are, for the parametric type @*(T)@ / @vector(T)@, respectively. 457 458 The resolver uses the following @public@ functions:\footnote{ 459 Actual code also tracks assertions on type parameters; those extra arguments are omitted here for conciseness.} 460 461 462 \subsubsection{Source: \lstinline{ResolvExpr/Unify.cc}} 463 464 Function 465 \begin{C++} 466 bool unify(const Type * type1, const Type * type2, TypeEnvironment & env, 467 OpenVarSet & openVars, const SymbolTable & symtab, Type *& commonType) 468 \end{C++} 469 returns a boolean indicating if the unification succeeds or fails after attempting to unify @type1@ and @type2@ within current type environment. 470 If the unify succeeds, @env@ is modified by combining the equivalence classes of matching parameters in @type1@ and @type2@, and their common type is written to @commonType@. 471 If the unify fails, nothing changes. 472 Functions 473 \begin{C++} 474 bool typesCompatible(const Type * type1, const Type * type2, const SymbolTable & symtab, 475 const TypeEnvironment & env) 476 bool typesCompatibleIgnoreQualifiers(const Type * type1, const Type * type2, 477 const SymbolTable & symtab, const TypeEnvironment & env) 478 \end{C++} 479 return a boolean indicating if types @type1@ and @type2@ can possibly be the same type. 480 The second version ignores the outermost cv-qualifiers if present.\footnote{ 481 In \lstinline@const int * const@, only the second \lstinline@const@ is ignored.} 482 These function have no side effects. 483 484 \NOTE: No attempt is made to widen the types (exact unification is used), although the function names may suggest otherwise, \eg @typesCompatible(int, long)@ returns false. 518 485 519 486 520 487 \subsection{Expression Resolution} 521 488 522 The design of the current version of expression resolver is outlined in the Ph.D. Thesis from 523 Aaron Moss~\cite{Moss19}. 524 489 The design of the current version of expression resolver is outlined in the Ph.D.\ thesis by Aaron Moss~\cite{Moss19}. 525 490 A summary of the resolver algorithm for each expression type is presented below. 526 491 527 All overloadable operators are modelled as function calls. For a function call,528 interpretations of the function and arguments are found recursively. Then the following 529 steps produce a filtered list of valid interpretations:492 All overloadable operators are modelled as function calls. 493 For a function call, interpretations of the function and arguments are found recursively. 494 Then the following steps produce a filtered list of valid interpretations: 530 495 \begin{enumerate} 531 496 \item 532 From all possible combinations of interpretations of the function and arguments, 533 those where argument types may be converted to function parameter types are 534 considered valid. 497 From all possible combinations of interpretations of the function and arguments, those where argument types may be converted to function parameter types are considered valid. 535 498 \item 536 499 Valid interpretations with the minimum sum of argument costs are kept. 537 500 \item 538 Argument costs are then discarded; the actual cost for the function call expression is 539 the sum of conversion costs from the argument types to parameter types. 540 \item 541 For each return type, the interpretations with satisfiable assertions are then sorted 542 by actual cost computed in step 3. If for a given type, the minimum cost 543 interpretations are not unique, it is said that for that return type the interpretation 544 is ambiguous. If the minimum cost interpretation is unique but contains an 545 ambiguous argument, it is also considered ambiguous. 501 \label{p:argcost} 502 Argument costs are then discarded; the actual cost for the function call expression is the sum of conversion costs from the argument types to parameter types. 503 \item 504 \label{p:returntype} 505 For each return type, the interpretations with satisfiable assertions are then sorted by actual cost computed in step~\ref{p:argcost}. 506 If for a given type, the minimum cost interpretations are not unique, that return type is ambiguous. 507 If the minimum cost interpretation is unique but contains an ambiguous argument, it is also ambiguous. 546 508 \end{enumerate} 547 Therefore, for each return type, the resolver produces either of:509 Therefore, for each return type, the resolver produces: 548 510 \begin{itemize} 549 511 \item 550 No alternatives551 \item 552 Asingle valid alternative553 \item 554 An ambiguous alternative512 no alternatives 513 \item 514 a single valid alternative 515 \item 516 an ambiguous alternative 555 517 \end{itemize} 556 Note that an ambiguous alternative may be discarded at the parent expressions because a 557 different return type matches better for the parent expressions. 558 559 The non-overloadable expressions in Cforall are: cast expressions, address-of (unary @&@) 560 expressions, short-circuiting logical expressions (@&&@, @||@) and ternary conditional 561 expression (@?:@). 562 563 For a cast expression, the convertible argument types are kept. Then the result is selected 564 by lowest argument cost, and further by lowest conversion cost to target type. If the lowest 565 cost is still not unique, or an ambiguous argument interpretation is selected, the cast 566 expression is ambiguous. In an expression statement, the top level expression is implicitly 567 cast to void. 518 \NOTE: an ambiguous alternative may be discarded at the parent expressions because a different return type matches better for the parent expressions. 519 520 The \emph{non}-overloadable expressions in \CFA are: cast expressions, address-of (unary @&@) expressions, short-circuiting logical expressions (@&&@, @||@) and ternary conditional expression (@?:@). 521 522 For a cast expression, the convertible argument types are kept. 523 Then the result is selected by lowest argument cost, and further by lowest conversion cost to target type. 524 If the lowest cost is still not unique or an ambiguous argument interpretation is selected, the cast expression is ambiguous. 525 In an expression statement, the top level expression is implicitly cast to @void@. 568 526 569 527 For an address-of expression, only lvalue results are kept and the minimum cost is selected. 570 528 571 For logical expressions @&&@ and @||@, arguments are implicitly cast to bool, and follow the rule 572 of cast expression as above. 573 574 For the ternary conditional expression, the condition is implicitly cast to bool, and the 575 branch expressions must have compatible types. Each pair of compatible branch 576 expression types produce a possible interpretation, and the cost is defined as the sum of 577 expression costs plus the sum of conversion costs to the common type. 578 579 TODO: Write a specification for expression costs. 529 For logical expressions @&&@ and @||@, arguments are implicitly cast to @bool@, and follow the rules fr cast expression above. 530 531 For the ternary conditional expression, the condition is implicitly cast to @bool@, and the branch expressions must have compatible types. 532 Each pair of compatible branch expression types produce a possible interpretation, and the cost is defined as the sum of the expression costs plus the sum of conversion costs to the common type. 533 534 535 \subsection{Conversion and Application Cost} 536 537 There were some unclear parts in the previous documentation in the cost system, as described in the Moss thesis~\cite{Moss19}, section 4.1.2. 538 Some clarification are presented in this section. 539 540 \begin{enumerate} 541 \item 542 Conversion to a type denoted by parameter may incur additional cost if the match is not exact. 543 For example, if a function is declared to accept @(T, T)@ and receives @(int, long)@, @T@ is deducted @long@ and an additional widening conversion cost is added for @int@ to @T@. 544 545 \item 546 The specialization level of a function is the sum of the least depth of an appearance of a type parameter (counting pointers, references and parameterized types), plus the number of assertions. 547 A higher specialization level is favoured if argument conversion costs are equal. 548 549 \item 550 Coercion of pointer types is only allowed in explicit cast expressions; 551 the only allowed implicit pointer casts are adding qualifiers to the base type and cast to @void*@, and these counts as safe conversions. 552 Note that implicit cast from @void *@ to other pointer types is no longer valid, as opposed to standard C. 553 \end{enumerate} 580 554 581 555 582 556 \subsection{Assertion Satisfaction} 583 557 584 The resolver tries to satisfy assertions on expressions only when it is needed: either while 585 selecting from multiple alternatives of a same result type for a function call (step 4 of 586 resolving function calls), or upon reaching the top level of an expression statement. 587 588 Unsatisfiable alternatives are discarded. Satisfiable alternatives receive \textbf{implicit 589 parameters}: in Cforall, parametric functions are designed such that they can be compiled 590 separately, as opposed to \CC templates which are only compiled at instantiation. Given a 591 parametric function definition: 558 The resolver tries to satisfy assertions on expressions only when it is needed: either while selecting from multiple alternatives of a same result type for a function call (step \ref{p:returntype} of resolving function calls) or upon reaching the top level of an expression statement. 559 560 Unsatisfiable alternatives are discarded. 561 Satisfiable alternatives receive \textbf{implicit parameters}: in \CFA, parametric functions may be separately compiled, as opposed to \CC templates which are only compiled at instantiation. 562 Given the parametric function-definition: 592 563 \begin{C++} 593 564 forall (otype T | {void foo(T);}) 594 565 void bar (T t) { foo(t); } 595 566 \end{C++} 596 The function bar does not know which @foo@ to call when compiled without knowing the call 597 site, so it requests a function pointer to be passed as an extra argument. At the call site, 598 implicit parameters are automatically inserted by the compiler. 599 600 \textbf{TODO}: Explain how recursive assertion satisfaction and polymorphic recursion work. 601 567 the function @bar@ does not know which @foo@ to call when compiled without knowing the call site, so it requests a function pointer to be passed as an extra argument. 568 At the call site, implicit parameters are automatically inserted by the compiler. 569 570 Implementation of implicit parameters is discussed in \VRef[Appendix]{s:ImplementationParametricFunctions}. 602 571 603 572 \section{Tests} … … 605 574 \subsection{Test Suites} 606 575 607 Automatic test suites are located under the @tests/@ directory. A test case consists of an 608 input CFA source file (name ending with @.cfa@), and an expected output file located 609 in @.expect/@ directory relative to the source file, with the same file name ending with @.txt@. 610 So a test named @tuple/tupleCast@ has the following files, for example: 576 Automatic test suites are located under the @tests/@ directory. 577 A test case consists of an input CFA source file (suffix @.cfa@), and an expected output file located in the @tests/.expect/@ directory, with the same file name ending with suffix @.txt@. 578 For example, the test named @tests/tuple/tupleCast.cfa@ has the following files, for example: 611 579 \begin{C++} 612 580 tests/ 613 .. tuple/ 614 ...... .expect/ 615 .......... tupleCast.txt 616 ...... tupleCast.cfa 617 \end{C++} 618 If compilation fails, the error output is compared to the expect file. If compilation succeeds, 619 the built program is run and its output compared to the expect file. 620 To run the tests, execute the test script @test.py@ under the @tests/@ directory, with a list of 621 test names to be run, or @--all@ to run all tests. The test script reports test cases 622 fail/success, compilation time and program run time. 581 tuple/ 582 .expect/ 583 tupleCast.txt 584 tupleCast.cfa 585 \end{C++} 586 If compilation fails, the error output is compared to the expect file. 587 If the compilation succeeds but does not generate an executable, the compilation output is compared to the expect file. 588 If the compilation succeeds and generates an executable, the executable is run and its output is compared to the expect file. 589 To run the tests, execute the test script @test.py@ under the @tests/@ directory, with a list of test names to be run, or @--all@ (or @make all-tests@) to run all tests. 590 The test script reports test cases fail/success, compilation time and program run time. 591 To see all the options available for @test.py@ using the @--help@ option. 623 592 624 593 625 594 \subsection{Performance Reports} 626 595 627 To turn on performance reports, pass @-S@ flag to the compiler. 628 629 3 kinds of performance reports are available: 596 To turn on performance reports, pass the @-XCFA -S@ flag to the compiler. 597 Three kinds of performance reports are available: 630 598 \begin{enumerate} 631 599 \item … … 639 607 @Common/Stats/Counter.h@. 640 608 \end{enumerate} 641 It is suggested to run performance tests with optimized build (@g++@ flag @-O3@) 642 609 It is suggested to run performance tests with optimization (@g++@ flag @-O3@). 610 611 612 \appendix 613 \section{Appendix} 614 615 \subsection{Kinds of Type Parameters} 616 \label{s:KindsTypeParameters} 617 618 A type parameter in a @forall@ clause has 3 kinds: 619 \begin{enumerate}[listparindent=0pt] 620 \item 621 @dtype@: any data type (built-in or user defined) that is not a concrete type. 622 623 A non-concrete type is an incomplete type such as an opaque type or pointer/reference with an implicit (pointer) size and implicitly generated reference and dereference operations. 624 \item 625 @otype@: any data type (built-in or user defined) that is concrete type. 626 627 A concrete type is a complete type, \ie types that can be used to create a variable, which also implicitly asserts the existence of default and copy constructors, assignment, and destructor\footnote{\CFA implements the same automatic resource management (RAII) semantics as \CC.}. 628 % \item 629 % @ftype@: any function type. 630 % 631 % @ftype@ provides two purposes: 632 % \begin{itemize} 633 % \item 634 % Differentiate function pointer from data pointer because (in theory) some systems have different sizes for these pointers. 635 % \item 636 % Disallow a function pointer to match an overloaded data pointer, since variables and functions can have the same names. 637 % \end{itemize} 638 639 \item 640 @ttype@: tuple (variadic) type. 641 642 Restricted to the type for the last parameter in a function, it provides a type-safe way to implement variadic functions. 643 Note however, that it has certain restrictions, as described in the implementation section below. 644 \end{enumerate} 645 646 647 \subsection{GNU C Nested Functions} 648 649 \CFA is designed to be mostly compatible with GNU C, an extension to ISO C99 and C11 standards. The \CFA compiler also implements some language features by GCC extensions, most notably nested functions. 650 651 In ISO C, function definitions are not allowed to be nested. GCC allows nested functions with full lexical scoping. The following example is taken from GCC documentation\footnote{\url{https://gcc.gnu.org/onlinedocs/gcc/Nested-Functions.html}}: 652 \begin{C++} 653 void bar( int * array, int offset, int size ) { 654 int access( int * array, int index ) { return array[index + offset]; } 655 int i; 656 /* ... */ 657 for ( i = 0; i < size; i++ ) 658 /* ... */ access (array, i) /* ... */ 659 } 660 \end{C++} 661 GCC nested functions behave identically to \CC lambda functions with default by-reference capture (stack-allocated, lifetime ends upon exiting the declared block), while also possible to be passed as arguments with standard function pointer types. 662 663 664 \subsection{Implementation of Parametric Functions} 665 \label{s:ImplementationParametricFunctions} 666 667 \CFA implements parametric functions using the implicit parameter approach: required assertions are passed to the callee by function pointers; 668 size of a parametric type must also be known if referenced directly (\ie not as a pointer). 669 670 The implementation is similar to the one from Scala\footnote{\url{https://www.scala-lang.org/files/archive/spec/2.13/07-implicits.html}}, with some notable differences in resolution: 671 \begin{enumerate} 672 \item 673 All types, variables, and functions are candidates of implicit parameters 674 \item 675 The parameter (assertion) name must match the actual declarations. 676 \end{enumerate} 677 678 For example, the \CFA function declaration 679 \begin{cfa} 680 forall( otype T | { int foo( T, int ); } ) 681 int bar(T); 682 \end{cfa} 683 after implicit parameter expansion, has the actual signature\footnote{\textbf{otype} also requires the type to have constructor and destructor, which are the first two function pointers preceding the one for \textbf{foo}.} 684 \begin{C++} 685 int bar( T, size_t, void (*)(T&), void (*)(T&), int (*)(T, int) ); 686 \end{C++} 687 The implicit parameter approach has an apparent issue: when the satisfying declaration is also parametric, it may require its own implicit parameters too. 688 That also causes the supplied implicit parameter to have a different \textbf{actual} type than the \textbf{nominal} type, so it cannot be passed directly. 689 Therefore, a wrapper with matching actual type must be created, and it is here where GCC nested functions are used internally by the compiler. 690 691 Consider the following program: 692 \begin{cfa} 693 int assertion(int); 694 695 forall( otype T | { int assertion(T); } ) 696 void foo(T); 697 698 forall(otype T | { void foo(T); } ) 699 void bar(T t) { 700 foo(t); 701 } 702 \end{cfa} 703 The \CFA compiler translates the program to non-parametric form\footnote{In the final code output, \lstinline@T@ needs to be replaced by an opaque type, and arguments must be accessed by a frame pointer offset table, due to the unknown sizes. The presented code here is simplified for better understanding.} 704 \begin{C++} 705 // ctor, dtor and size arguments are omitted 706 void foo(T, int (*)(T)); 707 708 void bar(T t, void (*foo)(T)) { 709 foo(t); 710 } 711 \end{C++} 712 However, when @bar(1)@ is called, @foo@ cannot be directly provided as an argument: 713 \begin{C++} 714 bar(1, foo); // WRONG: foo has different actual type 715 \end{C++} 716 and an additional step is required: 717 \begin{C++} 718 { 719 void _foo_wrapper(int t) { 720 foo( t, assertion ); 721 } 722 bar( 1, _foo_wrapper ); 723 } 724 \end{C++} 725 Nested assertions and implicit parameter creation may continue indefinitely. 726 This issue is a limitation of implicit parameter implementation. 727 In particular, polymorphic variadic recursion must be structural (\ie the number of arguments decreases in any possible recursive calls), otherwise code generation gets into an infinite loop. 728 The \CFA compiler sets a limit on assertion depth and reports an error if assertion resolution does not terminate within the limit (as for \lstinline[language=C++]@templates@ in \CC). 643 729 644 730 \bibliographystyle{plain}
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