Commit Graph

7 Commits

Author SHA1 Message Date
Gheorghe-Teodor Bercea e62c693c8e [OpenMP][Clang] Support for target math functions
Summary:
In this patch we propose a temporary solution to resolving math functions for the NVPTX toolchain, temporary until OpenMP variant is supported by Clang.

We intercept the inclusion of math.h and cmath headers and if we are in the OpenMP-NVPTX case, we re-use CUDA's math function resolution mechanism.

Authors:
@gtbercea
@jdoerfert

Reviewers: hfinkel, caomhin, ABataev, tra

Reviewed By: hfinkel, ABataev, tra

Subscribers: JDevlieghere, mgorny, guansong, cfe-commits, jdoerfert

Tags: #clang

Differential Revision: https://reviews.llvm.org/D61399

llvm-svn: 360265
2019-05-08 15:52:33 +00:00
Jonas Devlieghere fe608c938c Revert "[OpenMP][Clang] Support for target math functions"
This commit appears to be breaking stage-2 builds on GreenDragon. The
OpenMP wrappers for cmath and math.h are copied into the root of the
resource directory and cause a cyclic dependency in module 'Darwin':
Darwin -> std -> Darwin. This blows up when CMake is testing for modules
support and breaks all stage 2 module builds, including the ThinLTO bot
and all LLDB bots.

CMake Error at cmake/modules/HandleLLVMOptions.cmake:497 (message):
  LLVM_ENABLE_MODULES is not supported by this compiler

llvm-svn: 360192
2019-05-07 21:08:15 +00:00
Gheorghe-Teodor Bercea 1e28a668bc [OpenMP][Clang] Support for target math functions
Summary:
In this patch we propose a temporary solution to resolving math functions for the NVPTX toolchain, temporary until OpenMP variant is supported by Clang.

We intercept the inclusion of math.h and cmath headers and if we are in the OpenMP-NVPTX case, we re-use CUDA's math function resolution mechanism.

Authors:
@gtbercea
@jdoerfert

Reviewers: hfinkel, caomhin, ABataev, tra

Reviewed By: hfinkel, ABataev, tra

Subscribers: mgorny, guansong, cfe-commits, jdoerfert

Tags: #clang

Differential Revision: https://reviews.llvm.org/D61399

llvm-svn: 360063
2019-05-06 18:19:15 +00:00
Chandler Carruth 4cf5743b77 Move the builtin headers to use the new license file header.
Summary:
These all had somewhat custom file headers with different text from the
ones I searched for previously, and so I missed them. Thanks to Hal and
Kristina and others who prompted me to fix this, and sorry it took so
long.

Reviewers: hfinkel

Subscribers: mcrosier, javed.absar, cfe-commits

Tags: #clang

Differential Revision: https://reviews.llvm.org/D60406

llvm-svn: 357941
2019-04-08 20:51:30 +00:00
Evgeny Mankov 177301f048 [CUDA][Windows] Partial fix for bug 38811 (Step 2 of 3)
Partial fix for the clang Bug 38811 "Clang fails to compile with CUDA-9.x on Windows".

[Synopsis]
__sptr is a new Microsoft specific modifier (https://docs.microsoft.com/en-us/cpp/cpp/sptr-uptr?view=vs-2017).

[Solution]
Replace all `__sptr` occurrences with `__s` (and all `__cptr` with `__c` as well) to eliminate the below clang compilation error on Windows.

In file included from C:\GIT\LLVM\trunk\llvm-64-release-vs2017-15.9.5\dist\lib\clang\9.0.0\include\__clang_cuda_runtime_wrapper.h:162:
C:\GIT\LLVM\trunk\llvm-64-release-vs2017-15.9.5\dist\lib\clang\9.0.0\include\__clang_cuda_device_functions.h:524:33: error: expected expression
  return __nv_fast_sincosf(__a, __sptr, __cptr);
                                ^
Reviewed by: Artem Belevich

Differential Revision: http://reviews.llvm.org/D59423

llvm-svn: 356291
2019-03-15 19:04:46 +00:00
Artem Belevich fa07bb646c [CUDA] Provide integer SIMD functions for CUDA-9.2
CUDA-9.2 made all integer SIMD functions into compiler builtins,
so clang no longer has access to the implementation of these
functions in either headers of libdevice and has to provide
its own implementation.

This is mostly a 1:1 mapping to a corresponding PTX instructions
with an exception of vhadd2/vhadd4 that don't have an equivalent
instruction and had to be implemented with a bit hack.

Performance of this implementation will be suboptimal for SM_50
and newer GPUs where PTXAS generates noticeably worse code for
the SIMD instructions compared to the code it generates
for the inline assembly generated by nvcc (or used to come
with CUDA headers).

Differential Revision: https://reviews.llvm.org/D49274

llvm-svn: 337587
2018-07-20 17:44:34 +00:00
Artem Belevich fbc56a904f [CUDA] Added partial support for CUDA-9.1
Clang can use CUDA-9.1 now, though new APIs (are not implemented yet.

The major change is that headers in CUDA-9.1 went through substantial
changes that started in CUDA-9.0 which required substantial changes
in the cuda compatibility headers provided by clang.

There are two major issues:
* CUDA SDK no longer provides declarations for libdevice functions.
* A lot of device-side functions have become nvcc's builtins and
  CUDA headers no longer contain their implementations.

This patch changes the way CUDA headers are handled if we compile
with CUDA 9.x. Both 9.0 and 9.1 are affected.

* Clang provides its own declarations of libdevice functions.
* For CUDA-9.x clang now provides implementation of device-side
  'standard library' functions using libdevice.

This patch should not affect compilation with CUDA-8. There may be
some observable differences for CUDA-9.0, though they are not expected
to affect functionality.

Tested: CUDA test-suite tests for all supported combinations of:
        CUDA: 7.0,7.5,8.0,9.0,9.1
        GPU: sm_20, sm_35, sm_60, sm_70

Differential Revision: https://reviews.llvm.org/D42513

llvm-svn: 323713
2018-01-30 00:00:12 +00:00