Commit Graph

6 Commits

Author SHA1 Message Date
Alexey Bataev a914888b49 [OPENMP]Add -Wunintialized to the erroneous tests for future fix PR42392,
NFC.

llvm-svn: 365334
2019-07-08 15:45:24 +00:00
Joel E. Denny 3234887fe2 [APSInt][OpenMP] Fix isNegative, etc. for unsigned types
Without this patch, APSInt inherits APInt::isNegative, which merely
checks the sign bit without regard to whether the type is actually
signed.  isNonNegative and isStrictlyPositive call isNegative and so
are also affected.

This patch adjusts APSInt to override isNegative, isNonNegative, and
isStrictlyPositive with implementations that consider whether the type
is signed.

A large set of Clang OpenMP tests are affected.  Without this patch,
these tests assume that `true` is not a valid argument for clauses
like `collapse`.  Indeed, `true` fails APInt::isStrictlyPositive but
not APSInt::isStrictlyPositive.  This patch adjusts those tests to
assume `true` should be accepted.

This patch also adds tests revealing various other similar fixes due
to APSInt::isNegative calls in Clang's ExprConstant.cpp and
SemaExpr.cpp: `++` and `--` overflow in `constexpr`, evaluated object
size based on `alloc_size`, `<<` and `>>` shift count validation, and
OpenMP array section validation.

Reviewed By: lebedev.ri, ABataev, hfinkel

Differential Revision: https://reviews.llvm.org/D59712

llvm-svn: 359012
2019-04-23 17:04:15 +00:00
Alexey Bataev a8a9153a37 [OPENMP] Support for -fopenmp-simd option with compilation of simd loops
only.

Added support for -fopenmp-simd option that allows compilation of
simd-based constructs without emission of OpenMP runtime calls.

llvm-svn: 321560
2017-12-29 18:07:07 +00:00
Carlo Bertolli 9925f15661 Resubmission of http://reviews.llvm.org/D21564 after fixes.
[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
2016-06-27 14:55:37 +00:00
Carlo Bertolli b8503d5399 Revert r273705
[OpenMP] Initial implementation of parse and sema for composite pragma 'distribute parallel for'

llvm-svn: 273709
2016-06-24 19:20:02 +00:00
Carlo Bertolli e77d6e0e4d [OpenMP] Initial implementation of parse and sema for composite pragma '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
2016-06-24 18:53:35 +00:00