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* [OPENMP]Add support for analysis of if clauses.Alexey Bataev2019-07-161-0/+7
| | | | | | | | | | | | | | | | Summary: Added support for analysis of if clauses in the OpenMP directives to be able to check for the use of uninitialized variables. Reviewers: NoQ Subscribers: guansong, jfb, jdoerfert, caomhin, kkwli0, cfe-commits Tags: clang Differential Revision: https://reviews.llvm.org/D64646 llvm-svn: 366211
* Revert "[OPENMP]Add support for analysis of if clauses."Ali Tamur2019-07-161-7/+0
| | | | | | | This reverts commit rL366068. The patch broke 86 tests under clang/test/OpenMP/ when run with address sanitizer. llvm-svn: 366169
* [OPENMP]Add support for analysis of if clauses.Alexey Bataev2019-07-151-0/+7
| | | | | | | | | | | | | | | | Summary: Added support for analysis of if clauses in the OpenMP directives to be able to check for the use of uninitialized variables. Reviewers: NoQ Subscribers: guansong, jfb, jdoerfert, caomhin, kkwli0, cfe-commits Tags: #clang Differential Revision: https://reviews.llvm.org/D64646 llvm-svn: 366068
* [OPENMP]Add -Wunintialized to the erroneous tests for future fix PR42392,Alexey Bataev2019-07-081-6/+6
| | | | | | NFC. llvm-svn: 365334
* [OPENMP] Support for -fopenmp-simd option with compilation of simd loopsAlexey Bataev2017-12-291-0/+2
| | | | | | | | | only. Added support for -fopenmp-simd option that allows compilation of simd-based constructs without emission of OpenMP runtime calls. llvm-svn: 321560
* [OPENMP] Fix for PR31428: variable named like directive name modifierAlexey Bataev2016-12-201-3/+3
| | | | | | | | Directive name modifiers in 'if' clause are allowed only for OpenMP 4.5 and higher + in OpenMP 4.5 parsing procedure emits error message if ':' is not found after directive name modifier. llvm-svn: 290175
* Resubmission of http://reviews.llvm.org/D21564 after fixes.Carlo Bertolli2016-06-271-0/+179
| | | | | | | | | | | | | [OpenMP] Initial implementation of parse and sema for composite pragma 'distribute parallel for' This patch is an initial implementation for #distribute parallel for. The main differences that affect other pragmas are: The implementation of 'distribute parallel for' requires blocking of the associated loop, where blocks are "distributed" to different teams and iterations within each block are scheduled to parallel threads within each team. To implement blocking, sema creates two additional worksharing directive fields that are used to pass the team assigned block lower and upper bounds through the outlined function resulting from 'parallel'. In this way, scheduling for 'for' to threads can use those bounds. As a consequence of blocking, the stride of 'distribute' is not 1 but it is equal to the blocking size. This is returned by the runtime and sema prepares a DistIncrExpr variable to hold that value. As a consequence of blocking, the global upper bound (EnsureUpperBound) expression of the 'for' is not the original loop upper bound (e.g. in for(i = 0 ; i < N; i++) this is 'N') but it is the team-assigned block upper bound. Sema creates a new expression holding the calculation of the actual upper bound for 'for' as UB = min(UB, PrevUB), where UB is the loop upper bound, and PrevUB is the team-assigned block upper bound. llvm-svn: 273884
* Revert r273705Carlo Bertolli2016-06-241-179/+0
| | | | | | [OpenMP] Initial implementation of parse and sema for composite pragma 'distribute parallel for' llvm-svn: 273709
* [OpenMP] Initial implementation of parse and sema for composite pragma ↵Carlo Bertolli2016-06-241-0/+179
'distribute parallel for' http://reviews.llvm.org/D21564 This patch is an initial implementation for #distribute parallel for. The main differences that affect other pragmas are: The implementation of 'distribute parallel for' requires blocking of the associated loop, where blocks are "distributed" to different teams and iterations within each block are scheduled to parallel threads within each team. To implement blocking, sema creates two additional worksharing directive fields that are used to pass the team assigned block lower and upper bounds through the outlined function resulting from 'parallel'. In this way, scheduling for 'for' to threads can use those bounds. As a consequence of blocking, the stride of 'distribute' is not 1 but it is equal to the blocking size. This is returned by the runtime and sema prepares a DistIncrExpr variable to hold that value. As a consequence of blocking, the global upper bound (EnsureUpperBound) expression of the 'for' is not the original loop upper bound (e.g. in for(i = 0 ; i < N; i++) this is 'N') but it is the team-assigned block upper bound. Sema creates a new expression holding the calculation of the actual upper bound for 'for' as UB = min(UB, PrevUB), where UB is the loop upper bound, and PrevUB is the team-assigned block upper bound. llvm-svn: 273705
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