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* [OPENMP50]Basic support for conditional lastprivate.Alexey Bataev2019-12-241-2/+9
| | | | Added parsing/sema checks for conditional lastprivates.
* [OpenMP] Require trivially copyable type for mappingJonas Hahnfeld2019-12-071-9/+9
| | | | | | | | | | | | | A trivially copyable type provides a trivial copy constructor and a trivial copy assignment operator. This is enough for the runtime to memcpy the data to the device. Additionally there must be no virtual functions or virtual base classes and the destructor is guaranteed to be trivial, ie performs no action. The runtime does not require trivial default constructors because on alloc the memory is undefined. Thus, weaken the warning to be only issued if the mapped type is not trivially copyable. Differential Revision: https://reviews.llvm.org/D71134
* [OPENMP]Add -Wunintialized to the erroneous tests for future fix PR42392,Alexey Bataev2019-07-081-2/+2
| | | | | | NFC. llvm-svn: 365334
* [OPENMP]Initial support for 'allocate' clause.Alexey Bataev2019-03-271-2/+2
| | | | | | Added parsing/sema analysis of the allocate clause. llvm-svn: 357068
* [OpenMP] Replace predetermined shared for const variableJoel E. Denny2019-01-041-10/+10
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The following appears in OpenMP 3.1 sec. 2.9.1.1 as a predetermined data-sharing attribute: > Variables with const-qualified type having no mutable member are > shared. It does not appear in OpenmP 4.0, 4.5, or 5.0. This patch removes the implementation of that attribute when the requested OpenMP version is greater than 3.1. One effect of that removal is that `default(none)` affects const variables without mutable members. Also, without this patch, if a const variable without mutable members was explicitly lastprivate or private, it was an error because it was predetermined shared. Now, clang instead complains that it's const without mutable fields, which is a more intelligible diagnostic. That should be fine for all of the above versions because they all have something like the following, which is quoted from OpenMP 5.0 sec. 2.19.3: > A variable that is privatized must not have a const-qualified type > unless it is of class type with a mutable member. This restriction does > not apply to the firstprivate clause. reduction and linear clauses already have separate checks for const variables. Future patches will merge the implementations. Reviewed By: ABataev Differential Revision: https://reviews.llvm.org/D56113 llvm-svn: 350439
* [OPENMP]Fix PR39372: Does not complain about loop bound variable notAlexey Bataev2018-10-291-9/+9
| | | | | | | | | | | being shared. According to the standard, the variables with unspecified data-sharing attributes in presence of `default(none)` clause must be reported to users. Compiler did not generate error reports for the variables used in other OpenMP regions. Patch fixes this. llvm-svn: 345533
* [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] Do not allow variables to be first|last-privates inAlexey Bataev2017-12-011-4/+6
| | | | | | | | distribute directives. OpenMP standard does not allow to mark the variables as firstprivate and lastprivate at the same time in distribute-based directives. Patch fixes this problem. llvm-svn: 319560
* [OPENMP] Fix DSA processing for member declaration.Alexey Bataev2017-07-201-2/+2
| | | | | | | | If the member declaration is captured in the OMPCapturedExprDecl, we may loose data-sharing attribute info for this declaration. Patch fixes this bug. llvm-svn: 308629
* Resubmission of http://reviews.llvm.org/D21564 after fixes.Carlo Bertolli2016-06-271-0/+333
| | | | | | | | | | | | | [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 Bertolli2016-06-241-333/+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/+333
'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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