[cfe-dev] gpucc breaks cuda 7.0.28/7_CUDALibraries/simpleCUFFT

[Artem Belevich via cfe-dev]

Peter,

I can't reproduce the problem with recent clang. I've tried compiling the
same smaple code with cuda-7.0 and 7.5.
clang version 3.9.0 (trunk 268962) (llvm/trunk 268980)

Could you tell me what was clang version you used? If you still see the
problem, please file a clang  bug on llvm.org/bugs.

--Artem


% clang++ -I../../common/inc --cuda-gpu-arch=sm_35 simpleCUFFT.cu
-L/usr/local/cuda-7.5/lib64 -lcufft -lcudart -o simpleCUFFT-clang
% LD_LIBRARY_PATH=/usr/local/cuda-7.5/lib64 ./simpleCUFFT-clang
[simpleCUFFT] is starting...
GPU Device 0: "Tesla K40c" with compute capability 3.5

Transforming signal cufftExecC2C
Launching ComplexPointwiseMulAndScale<<< >>>
Transforming signal back cufftExecC2C


On Tue, Apr 5, 2016 at 2:12 PM, Jingyue Wu <jingyue at google.com> wrote:

> Would you mind upload your simpleCUFFT.cu code? It looks related to device
> code generation because building was successful.
>
> On Tue, Apr 5, 2016 at 1:56 PM, Peter Steinbach <steinbac at mpi-cbg.de>
> wrote:
>
>> Hi guys,
>>
>> first of all, please accept my apologies for contacting you by mail. I
>> was a bit lost, which mailing list to choose from as pointed to by
>> http://llvm.org/docs/CompileCudaWithLLVM.html
>> and the subsequent
>> http://llvm.org/docs/#mailing-lists
>> Feel free to deflect this request to the relevant mailing list or bug
>> tracker.
>>
>> In any case, I am very interested in using GPUCC in favor of NVCC for a
>> multitude of reasons (C++1X, compilation speed, ...). I started to "port"
>> my favorite samples from the nvidia SDK.
>> With clang 3.8, samples-7.0.28/7_CUDALibraries/simpleCUFFT as compiled
>> with clang produces an error at runtime! Here is what I see with a K20c:
>>
>> $ clang++ --cuda-path=/sw/apps/cuda/7.0.28   -I../../common/inc  -m64
>> --cuda-gpu-arch=sm_35 --cuda-gpu-arch=sm_35 -o simpleCUFFT.o -c
>> simpleCUFFT.cu
>> $ clang++ --cuda-path=/sw/apps/cuda/7.0.28
>> -L/sw/apps/cuda/7.0.28/lib64 -lcudart -ldl -lrt -pthread  -m64      -o
>> simpleCUFFT.llvm simpleCUFFT.o  -lcufft
>> $ ./simpleCUFFT.llvm
>> [simpleCUFFT] is starting...
>> GPU Device 0: "Tesla K20c" with compute capability 3.5
>>
>> Transforming signal cufftExecC2C
>> Launching ComplexPointwiseMulAndScale<<< >>>
>> simpleCUFFT.cu(132) : getLastCudaError() CUDA error : Kernel execution
>> failed [ ComplexPointwiseMulAndScale ] : (8) invalid device function.
>>
>> The same source code works just fine with nvcc 7.0.
>> Any help would be appreciated.
>>
>> Best,
>> Peter
>>
>> PS. From random comments, I had the feeling that you are looking at the
>> SHOC benchmarks with gpucc. If so, please comment on:
>> https://github.com/vetter/shoc/issues/48
>> I don't wanna do work that is either pointless (support for textures) or
>> was already done. ;)
>> --
>> Peter Steinbach, Dr. rer. nat.
>> HPC Developer, Scientific Computing Facility
>>
>> Max Planck Institute of Molecular Cell Biology and Genetics
>> Pfotenhauerstr. 108
>> 01307 Dresden
>> Germany
>>
>>
>> phone +49 351 210 2882
>> fax   +49 351 210 1689
>> www.mpi-cbg.de
>>
>
>
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