Changeset cebfcb8 for doc/theses/fangren_yu_COOP_S20
- Timestamp:
- Sep 24, 2020, 3:27:02 PM (4 years ago)
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- ADT, arm-eh, ast-experimental, enum, forall-pointer-decay, jacob/cs343-translation, master, new-ast-unique-expr, pthread-emulation, qualifiedEnum
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- doc/theses/fangren_yu_COOP_S20
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doc/theses/fangren_yu_COOP_S20/Report.tex
r9e620b6 rcebfcb8 26 26 \renewcommand{\textunderscore}{\leavevmode\makebox[1.2ex][c]{\rule{1ex}{0.075ex}}} 27 27 \newcommand{\NOTE}{\textbf{NOTE}} 28 \newcommand{\TODO}[1]{{\color{Purple}#1}} 28 29 29 30 \setlength{\topmargin}{-0.45in} % move running title into header … … 35 36 \lstset{ 36 37 language=C++, % make C++ the default language 37 escapechar=\$, % LaTeX escape in CFA code38 moredelim=**[is][\color{red}]{`}{`},39 38 }% lstset 40 \lstMakeShortInline@%41 39 \lstnewenvironment{C++}[1][] % use C++ style 42 {\lstset{language=C++,moredelim=**[is][\protect\color{red}]{`}{`},#1}} 43 {} 40 {\lstset{language=C++,moredelim=**[is][\color{red}]{@}{@},#1}}{} 44 41 45 42 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% … … 84 81 \section{Overview} 85 82 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. 83 cfa-cc is the reference compiler for the \CFA programming language, which is a non-object-oriented extension to C. 84 \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. 85 86 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. 87 The lack of documentation makes it difficult to develop new features from the current implementation and diagnose problems. 88 89 Currently, the \CFA team is also facing poor compiler performance. 90 For the development of a new programming language, writing standard libraries is an important component. 91 The slow compiler causes building of the library files to take tens of minutes, making iterative development and testing almost impossible. 92 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. 93 94 This developer's reference manual begins the documentation and should be continuously im\-proved until it eventually covers the entire compiler codebase. 95 For now, the focus is mainly on the parts being rewritten, and also the primary performance bottleneck, namely the resolution algorithm. 96 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 97 112 98 113 99 \section{Compiler Framework} 114 100 101 \CFA source code is first transformed into an abstract syntax tree (AST) by the parser before analyzed by the compiler. 102 103 115 104 \subsection{AST Representation} 116 105 117 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} 106 107 There are 4 major categories of AST nodes used by the compiler, along with some derived structures. 108 109 \subsubsection{Declaration Nodes} 124 110 125 111 A declaration node represents either of: 126 112 \begin{itemize} 127 113 \item 128 Type declaration: struct, union, typedef or type parameter (see Appendix A.3) 129 \item 130 Variable declaration131 \item 132 Function declaration114 type declaration: @struct@, @union@, @typedef@ or type parameter \TODO{(see Appendix A.3)} 115 \item 116 variable declaration 117 \item 118 function declaration 133 119 \end{itemize} 134 120 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): 121 In addition, declarations can also be qualified by the \lstinline[language=CFA]@forall@ clause (which is the origin of \CFA's name): 137 122 \begin{cfa} 138 forall ( <$\emph{TypeParameterList}$> | <$\emph{AssertionList}$>)123 forall ( <$\emph{TypeParameterList}$> | <$\emph{AssertionList}$> ) 139 124 $\emph{declaration}$ 140 125 \end{cfa} 141 Type parameters in \CFA are similar to \CC template type parameters. The \CFA142 declaration126 Type parameters in \CFA are similar to \CC template type parameters. 127 The \CFA declaration 143 128 \begin{cfa} 144 129 forall (dtype T) ... 145 130 \end{cfa} 146 behaves similarly asthe \CC template declaration131 behaves similarly to the \CC template declaration 147 132 \begin{C++} 148 133 template <typename T> ... 149 134 \end{C++} 150 135 151 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. 154 136 Assertions are a distinctive feature of \CFA, similar to \emph{interfaces} in D and Go, and \emph{traits} in Rust. 137 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. 155 138 Consider the following \CC template: 156 139 \begin{C++} 157 template <typename T> int foo(T t) {158 return bar(t) + baz(t);140 @template@ forall<typename T> T foo( T t ) { 141 return t + t * t; 159 142 } 160 143 \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: 144 where there are no explicit requirements on the type @T@. 145 Therefore, the \CC compiler must deduce what operators are required during textual (macro) expansion of the template at each usage. 146 As a result, templates cannot be compiled. 147 \CFA assertions specify restrictions on type parameters: 163 148 \begin{cfa} 164 forall (dtype T | { int bar(T); int baz(t); }) int foo (T t) {165 return bar(t) + baz(t);149 forall( dtype T | @{ T ?+?( T, T ); T ?*?( T, T ) }@ ) int foo ( T t ) { 150 return t + t * t; 166 151 } 167 152 \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. 153 Assertions are written using the usual \CFA function declaration syntax. 154 Only types with operators ``@+@'' and ``@*@'' work with this function, and the function prototype is sufficient to allow separate compilation. 155 156 Type parameters and assertions are used in the following compiler data-structures. 157 158 159 \subsubsection{Type Nodes} 160 161 Type nodes represent the type of an object or expression. 162 Named types reference the corresponding type declarations. 163 The type of a function is its function pointer type (same as standard C). 164 With the addition of type parameters, named types may contain a list of parameter values (actual parameter types). 165 166 167 \subsubsection{Statement Nodes} 168 169 Statement nodes represent the executable statements in the program, including basic expression statements, control flows and blocks. 183 170 Local declarations (within a block statement) are represented as declaration statements. 184 171 185 \subsubsection{Expression nodes} 186 187 Some expressions are represented differently in the compiler before and after resolution 188 stage:172 173 \subsubsection{Expression Nodes} 174 175 Some expressions are represented differently before and after the resolution stage: 189 176 \begin{itemize} 190 177 \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 178 Name expressions: @NameExpr@ pre-resolution, @VariableExpr@ post-resolution 179 \item 180 Member expressions: @UntypedMemberExpr@ pre-resolution, @MemberExpr@ post-resolution 181 \item 182 \begin{sloppypar} 183 Function call expressions (including overloadable operators): @UntypedExpr@ pre-resolution, @ApplicationExpr@ post-resolution 184 \end{sloppypar} 196 185 \end{itemize} 197 The pre-resolution representation s contain only the symbols. Post-resolution results link198 them to the actual variable and function declarations.186 The pre-resolution representation contains only the symbols. 187 Post-resolution links them to the actual variable and function declarations. 199 188 200 189 201 190 \subsection{Compilation Passes} 202 191 203 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) 192 Compilation steps are implemented as passes, which follows a general structural recursion pattern on the syntax tree. 193 194 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: 195 \begin{C++} 196 Pass::visit( node_t node ) { 197 previsit( node ); 198 if ( visit_children ) 213 199 for each child of node: 214 child.accept( this);215 postvisit( node);200 child.accept( this ); 201 postvisit( node ); 216 202 } 217 203 \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: 204 Operations in @previsit@ happen in preorder (top to bottom) and operations in @postvisit@ happen in postorder (bottom to top). 205 The precise order of recursive operations on child nodes can be found in @Common/PassVisitor.impl.h@ (old) and @AST/Pass.impl.hpp@ (new). 206 207 Implementations of compilation passes follow certain conventions: 223 208 \begin{itemize} 224 209 \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. 210 Passes \textbf{should not} directly override the visit method (Non-virtual Interface principle); 211 if a pass desires different recursion behaviour, it should set @visit_children@ to false and perform recursive calls manually within previsit or postvisit procedures. 212 To enable this option, inherit from the @WithShortCircuiting@ mixin. 213 \item 214 previsit may mutate the node but \textbf{must not} change the node type or return @nullptr@. 215 \item 216 postvisit may mutate the node, reconstruct it to a different node type, or delete it by returning @nullptr@. 234 217 \item 235 218 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.219 If the return type is declared as @void@, the original node is returned by default. 220 These behaviours are controlled by template specialization rules; 221 see @Common/PassVisitor.proto.h@ (old) and @AST/@ @Pass.proto.hpp@ (new) for details. 239 222 \end{itemize} 240 223 Other useful mixin classes for compilation passes include: 241 224 \begin{itemize} 242 225 \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) 226 @WithGuards@ allows saving and restoring variable values automatically upon entering/exiting the current node. 227 \item 228 @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@. 229 \item 230 @WithSymbolTable@ gives a managed symbol table with built-in scoping-rule handling (\eg on entering and exiting a block statement) 252 231 \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: 232 \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: 256 233 \begin{C++} 257 234 class Pass2: public Pass1 { 258 using Pass1::previsit;259 using Pass1::postvisit;235 @using Pass1::previsit;@ 236 @using Pass1::postvisit;@ 260 237 // new procedures 261 238 } … … 263 240 264 241 265 \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. 242 \subsection{Data Structure Change (new-ast)} 243 244 It has been observed that excessive copying of syntax tree structures accounts for a majority of computation cost and significantly slows down the compiler. 245 In the previous implementation of the syntax tree, every internal node has a unique parent; 246 therefore all copies are required to duplicate the entire subtree. 247 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. 248 249 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. 250 Reference counting is used to detect sharing and allowing certain optimizations. 251 For a purely functional (immutable) data-structure, all mutations are modelled by shallow copies along the path of mutation. 279 252 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; 253 This however, may potentially introduce some complications and bugs; 254 a few issues are discussed near the end of this section. 255 256 257 \subsubsection{Source: \lstinline{AST/Node.hpp}} 258 259 Class @ast::Node@ is the base class of all new-ast node classes, which implements reference counting mechanism. 260 Two different counters are recorded: ``strong'' reference count for number of nodes semantically owning it; 261 ``weak'' reference count for number of nodes holding a mere reference and only need to observe changes. 262 Class @ast::ptr_base@ is the smart pointer implementation and also takes care of resource management. 263 264 Direct access through the smart pointer is read-only. 265 A mutable access should be obtained by calling @shallowCopy@ or mutate as below. 266 267 Currently, the weak pointers are only used to reference declaration nodes from a named type, or a variable expression. 268 Since declaration nodes are intended to denote unique entities in the program, weak pointers always point to unique (unshared) nodes. 269 This property may change in the future, and weak references to shared nodes may introduce some problems; 299 270 see mutate function below. 300 271 301 All node classes should always use smart pointers in the structure and should not use raw 302 pointers. 303 272 All node classes should always use smart pointers in structure definitions versus raw pointers. 273 Function 304 274 \begin{C++} 305 275 void ast::Node::increment(ref_type ref) 306 276 \end{C++} 307 Increments this node's strong or weak reference count. 277 increments this node's strong or weak reference count. 278 Function 308 279 \begin{C++} 309 280 void ast::Node::decrement(ref_type ref, bool do_delete = true) 310 281 \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. 282 decrements this node's strong or weak reference count. 283 If strong reference count reaches zero, the node is deleted. 284 \NOTE: Setting @do_delete@ to false may result in a detached node. 285 Subsequent code should manually delete the node or assign it to a strong pointer to prevent memory leak. 286 315 287 Reference counting functions are internally called by @ast::ptr_base@. 288 Function 316 289 \begin{C++} 317 290 template<typename node_t> 318 291 node_t * shallowCopy(const node_t * node) 319 292 \end{C++} 320 Returns a mutable, shallow copy of node: all child pointers are pointing to the same child 321 nodes. 293 returns a mutable, shallow copy of node: all child pointers are pointing to the same child nodes. 294 Function 322 295 \begin{C++} 323 296 template<typename node_t> 324 297 node_t * mutate(const node_t * node) 325 298 \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. 299 returns a mutable pointer to the same node, if the node is unique (strong reference count is 1); 300 otherwise, it returns @shallowCopy(node)@. 301 It is an error to mutate a shared node that is weak-referenced. 302 Currently this does not happen. 303 A problem may appear once weak pointers to shared nodes (\eg expression nodes) are used; 304 special care is needed. 305 306 \NOTE: This naive uniqueness check may not be sufficient in some cases. 307 A discussion of the issue is presented at the end of this section. 308 Functions 334 309 \begin{C++} 335 310 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)311 const node_t * mutate_field(const node_t * node, field_t parent_t::* field, assn_t && val) 337 312 \end{C++} 338 313 \begin{C++} … … 342 317 field_t && val) 343 318 \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 be319 are helpers for mutating a field on a node using pointer to a member function (creates shallow copy when necessary). 320 321 322 \subsubsection{Issue: Undetected Sharing} 323 324 The @mutate@ behaviour described above has a problem: deeper shared nodes may be 350 325 mistakenly considered as unique. \VRef[Figure]{f:DeepNodeSharing} shows how the problem could arise: 351 326 \begin{figure} … … 355 330 \label{f:DeepNodeSharing} 356 331 \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} 367 332 Given the tree rooted at P1, which is logically the chain P1-A-B, and P2 is irrelevant, assume @mutate(B)@ is called. 333 The algorithm considers B as unique since it is only directly owned by A. 334 However, the other tree P2-A-B indirectly shares the node B and is therefore wrongly mutated. 335 336 To partly address this problem, if the mutation is called higher up the tree, a chain mutation helper can be used. 337 338 \subsubsection{Source: \lstinline{AST/Chain.hpp}} 339 340 Function 368 341 \begin{C++} 369 342 template<typename node_t, Node::ref_type ref_t> 370 343 auto chain_mutate(ptr_base<node_t, ref_t> & base) 371 344 \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: 345 returns a chain mutator handle that takes pointer-to-member to go down the tree, while creating shallow copies as necessary; 346 see @struct _chain_mutator@ in the source code for details. 347 348 For example, in the above diagram, if mutation of B is wanted while at P1, the call using @chain_mutate@ looks like the following: 378 349 \begin{C++} 379 350 chain_mutate(P1.a)(&A.b) = new_value_of_b; 380 351 \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 ??? 352 \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. 353 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. 354 However, if a pass traverses down to node B and performs mutation, for example, in @postvisit(B)@, information on sharing higher up is lost. 355 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. 356 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. 357 358 395 359 \section{Compiler Algorithm Documentation} 396 360 397 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. 361 This compiler algorithm documentation covers most of the resolver, data structures used in variable and expression resolution, and a few directly related passes. 362 Later passes involving code generation are not included yet; 363 documentation for those will be done latter. 364 400 365 401 366 \subsection{Symbol Table} 402 367 403 \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} 414 368 \NOTE: For historical reasons, the symbol-table data-structure is called @indexer@ in the old implementation. 369 Hereby, the name is changed to @SymbolTable@. 370 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.} 371 The difference in name-space rule is that @typedef@ aliases are no longer considered ordinary identifiers. 372 In addition to C tag-types (@struct@, @union@, @enum@), \CFA introduces another tag type, @trait@, which is a named collection of assertions. 373 374 375 \subsubsection{Source: \lstinline{AST/SymbolTable.hpp}} 376 377 \TODO{Add something here} 378 379 380 \subsubsection{Source: \lstinline{SymTab/Indexer.h}} 381 382 Function 415 383 \begin{C++} 416 384 SymbolTable::addId(const DeclWithType * decl) 417 385 \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.423 386 provides name mangling of identifiers, since \CFA allows overloading of variables and functions. 387 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. 388 389 Naming conflicts are handled by mangled names; 390 lookup by name returns a list of declarations with the same identifier name. 391 Functions 424 392 \begin{C++} 425 393 SymbolTable::addStruct(const StructDecl * decl) … … 428 396 SymbolTable::addTrait(const TraitDecl * decl) 429 397 \end{C++} 430 Adds a tag type declaration to the symbol table. 398 add a tag-type declaration to the symbol table. 399 Function 431 400 \begin{C++} 432 401 SymbolTable::addType(const NamedTypeDecl * decl) 433 402 \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: 403 adds a @typedef@ alias to the symbol table. 404 405 \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. 406 Currently the compiler puts them together and disallows collision. 407 The following program is valid C but invalid \CFA (and \CC): 440 408 \begin{C++} 441 409 struct A {}; 410 typedef int A; // gcc: ok, cfa: Cannot redefine typedef A 411 struct A sa; // C disambiguates via struct prefix 412 A ia; 413 \end{C++} 414 In practices, such usage is extremely rare, and hence, this change (as in \CC) has minimal impact on existing C programs. 415 The declaration 416 \begin{C++} 417 struct A {}; 418 typedef struct A A; // A is an alias for struct A 419 A a; 420 struct A b; 421 \end{C++} 422 is not an error because the alias name is identical to the original. 423 Finally, the following program is allowed in \CFA: 424 \begin{C++} 442 425 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(); 426 void A(); // name mangled 452 427 // gcc: A redeclared as different kind of symbol, cfa: ok 453 428 \end{C++} 429 because the function name is mangled. 430 454 431 455 432 \subsection{Type Environment and Unification} 456 433 457 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. 434 The following core ideas underlie the parametric type-resolution algorithm. 435 A type environment organizes type parameters into \textbf{equivalent classes} and maps them to actual types. 436 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. 462 437 463 438 The unification algorithm is recursive in nature and runs in two different modes internally: 464 439 \begin{itemize} 465 440 \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. 441 Exact unification mode requires equivalent parameters to match perfectly. 442 \item 443 Inexact unification mode allows equivalent parameters to be converted to a common type. 470 444 \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. 445 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. 446 447 Within the inexact mode, types are allowed to differ on their cv-qualifiers (\eg @const@, @volatile@, \etc); 448 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). 449 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@. 450 451 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). 452 Pointer types also behaves similarly; 453 in fact, they may be viewed as a primitive kind of parametric types. 454 @int *@ and @long *@ are different types, just like @vector(int)@ and @vector(long)@ are, for the parametric type @*(T)@ / @vector(T)@, respectively. 455 456 The resolver uses the following @public@ functions:\footnote{ 457 Actual code also tracks assertions on type parameters; those extra arguments are omitted here for conciseness.} 458 459 460 \subsubsection{Source: \lstinline{ResolvExpr/Unify.cc}} 461 462 Function 463 \begin{C++} 464 bool unify(const Type * type1, const Type * type2, TypeEnvironment & env, 465 OpenVarSet & openVars, const SymbolTable & symtab, Type *& commonType) 466 \end{C++} 467 returns a boolean indicating if the unification succeeds or fails after attempting to unify @type1@ and @type2@ within current type environment. 468 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@. 469 If the unify fails, nothing changes. 470 Functions 471 \begin{C++} 472 bool typesCompatible(const Type * type1, const Type * type2, const SymbolTable & symtab, 473 const TypeEnvironment & env) 474 bool typesCompatibleIgnoreQualifiers(const Type * type1, const Type * type2, 475 const SymbolTable & symtab, const TypeEnvironment & env) 476 \end{C++} 477 return a boolean indicating if types @type1@ and @type2@ can possibly be the same type. 478 The second version ignores the outermost cv-qualifiers if present.\footnote{ 479 In \lstinline@const int * const@, only the second \lstinline@const@ is ignored.} 480 These function have no side effects. 481 482 \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. 518 483 519 484 520 485 \subsection{Expression Resolution} 521 486 522 The design of the current version of expression resolver is outlined in the Ph.D. Thesis from 523 Aaron Moss~\cite{Moss19}. 524 487 The design of the current version of expression resolver is outlined in the Ph.D.\ thesis by Aaron Moss~\cite{Moss19}. 525 488 A summary of the resolver algorithm for each expression type is presented below. 526 489 527 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:490 All overloadable operators are modelled as function calls. 491 For a function call, interpretations of the function and arguments are found recursively. 492 Then the following steps produce a filtered list of valid interpretations: 530 493 \begin{enumerate} 531 494 \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. 495 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. 535 496 \item 536 497 Valid interpretations with the minimum sum of argument costs are kept. 537 498 \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. 499 \label{p:argcost} 500 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. 501 \item 502 \label{p:returntype} 503 For each return type, the interpretations with satisfiable assertions are then sorted by actual cost computed in step~\ref{p:argcost}. 504 If for a given type, the minimum cost interpretations are not unique, that return type is ambiguous. 505 If the minimum cost interpretation is unique but contains an ambiguous argument, it is also ambiguous. 546 506 \end{enumerate} 547 Therefore, for each return type, the resolver produces either of:507 Therefore, for each return type, the resolver produces: 548 508 \begin{itemize} 549 509 \item 550 No alternatives551 \item 552 Asingle valid alternative553 \item 554 An ambiguous alternative510 no alternatives 511 \item 512 a single valid alternative 513 \item 514 an ambiguous alternative 555 515 \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. 516 \NOTE: an ambiguous alternative may be discarded at the parent expressions because a different return type matches better for the parent expressions. 517 518 The \emph{non}-overloadable expressions in \CFA are: cast expressions, address-of (unary @&@) expressions, short-circuiting logical expressions (@&&@, @||@) and ternary conditional expression (@?:@). 519 520 For a cast expression, the convertible argument types are kept. 521 Then the result is selected by lowest argument cost, and further by lowest conversion cost to target type. 522 If the lowest cost is still not unique or an ambiguous argument interpretation is selected, the cast expression is ambiguous. 523 In an expression statement, the top level expression is implicitly cast to @void@. 568 524 569 525 For an address-of expression, only lvalue results are kept and the minimum cost is selected. 570 526 571 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. 527 For logical expressions @&&@ and @||@, arguments are implicitly cast to @bool@, and follow the rules fr cast expression above. 528 529 For the ternary conditional expression, the condition is implicitly cast to @bool@, and the branch expressions must have compatible types. 530 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. 531 532 \TODO{Write a specification for expression costs.} 580 533 581 534 582 535 \subsection{Assertion Satisfaction} 583 536 584 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: 537 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. 538 539 Unsatisfiable alternatives are discarded. 540 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. 541 Given the parametric function-definition: 592 542 \begin{C++} 593 543 forall (otype T | {void foo(T);}) 594 544 void bar (T t) { foo(t); } 595 545 \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. 546 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. 547 At the call site, implicit parameters are automatically inserted by the compiler. 548 549 \TODO{Explain how recursive assertion satisfaction and polymorphic recursion work.} 601 550 602 551 … … 605 554 \subsection{Test Suites} 606 555 607 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: 556 Automatic test suites are located under the @tests/@ directory. 557 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@. 558 For example, the test named @tests/tuple/tupleCast.cfa@ has the following files, for example: 611 559 \begin{C++} 612 560 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. 561 tuple/ 562 .expect/ 563 tupleCast.txt 564 tupleCast.cfa 565 \end{C++} 566 If compilation fails, the error output is compared to the expect file. 567 If the compilation succeeds but does not generate an executable, the compilation output is compared to the expect file. 568 If the compilation succeeds and generates an executable, the executable is run and its output is compared to the expect file. 569 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. 570 The test script reports test cases fail/success, compilation time and program run time. 571 To see all the options available for @test.py@ using the @--help@ option. 623 572 624 573 625 574 \subsection{Performance Reports} 626 575 627 To turn on performance reports, pass @-S@ flag to the compiler. 628 629 3 kinds of performance reports are available: 576 To turn on performance reports, pass the @-XCFA -S@ flag to the compiler. 577 Three kinds of performance reports are available: 630 578 \begin{enumerate} 631 579 \item … … 639 587 @Common/Stats/Counter.h@. 640 588 \end{enumerate} 641 It is suggested to run performance tests with optimiz ed build (@g++@ flag @-O3@)589 It is suggested to run performance tests with optimization (@g++@ flag @-O3@). 642 590 643 591
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