2018-03-08 00:57:42 +08:00
|
|
|
// RUN: %check_clang_tidy %s portability-simd-intrinsics %t -- \
|
[clang-tidy] Add `readability-simd-intrinsics` check.
Summary:
Many architectures provide SIMD operations (e.g. x86 SSE/AVX, Power AltiVec/VSX,
ARM NEON). It is common that SIMD code implementing the same algorithm, is
written in multiple target-dispatching pieces to optimize for different
architectures or micro-architectures.
The C++ standard proposal P0214 and its extensions cover many common SIMD
operations. By migrating from target-dependent intrinsics to P0214 operations,
the SIMD code can be simplified and pieces for different targets can be unified.
Refer to http://wg21.link/p0214 for introduction and motivation for the
data-parallel standard library.
Subscribers: klimek, aemerson, mgorny, xazax.hun, kristof.beyls, hintonda, cfe-commits
Differential Revision: https://reviews.llvm.org/D42983
llvm-svn: 325272
2018-02-16 01:56:43 +08:00
|
|
|
// RUN: -config='{CheckOptions: [ \
|
2018-03-08 00:57:42 +08:00
|
|
|
// RUN: {key: portability-simd-intrinsics.Suggest, value: 1} \
|
[clang-tidy] Add `readability-simd-intrinsics` check.
Summary:
Many architectures provide SIMD operations (e.g. x86 SSE/AVX, Power AltiVec/VSX,
ARM NEON). It is common that SIMD code implementing the same algorithm, is
written in multiple target-dispatching pieces to optimize for different
architectures or micro-architectures.
The C++ standard proposal P0214 and its extensions cover many common SIMD
operations. By migrating from target-dependent intrinsics to P0214 operations,
the SIMD code can be simplified and pieces for different targets can be unified.
Refer to http://wg21.link/p0214 for introduction and motivation for the
data-parallel standard library.
Subscribers: klimek, aemerson, mgorny, xazax.hun, kristof.beyls, hintonda, cfe-commits
Differential Revision: https://reviews.llvm.org/D42983
llvm-svn: 325272
2018-02-16 01:56:43 +08:00
|
|
|
// RUN: ]}' -- -target ppc64le -maltivec -std=c++11
|
|
|
|
|
|
|
|
|
|
vector int vec_add(vector int, vector int);
|
|
|
|
|
|
|
|
|
|
void PPC() {
|
|
|
|
|
vector int i0, i1;
|
|
|
|
|
|
|
|
|
|
vec_add(i0, i1);
|
2018-03-08 00:57:42 +08:00
|
|
|
// CHECK-MESSAGES: :[[@LINE-1]]:3: warning: 'vec_add' can be replaced by operator+ on std::experimental::simd objects [portability-simd-intrinsics]
|
[clang-tidy] Add `readability-simd-intrinsics` check.
Summary:
Many architectures provide SIMD operations (e.g. x86 SSE/AVX, Power AltiVec/VSX,
ARM NEON). It is common that SIMD code implementing the same algorithm, is
written in multiple target-dispatching pieces to optimize for different
architectures or micro-architectures.
The C++ standard proposal P0214 and its extensions cover many common SIMD
operations. By migrating from target-dependent intrinsics to P0214 operations,
the SIMD code can be simplified and pieces for different targets can be unified.
Refer to http://wg21.link/p0214 for introduction and motivation for the
data-parallel standard library.
Subscribers: klimek, aemerson, mgorny, xazax.hun, kristof.beyls, hintonda, cfe-commits
Differential Revision: https://reviews.llvm.org/D42983
llvm-svn: 325272
2018-02-16 01:56:43 +08:00
|
|
|
}
|
