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

[Artem Belevich via cfe-dev]

Peter,

I'm glad to hear that it works now.

As for texture lookups, I don't have any good news -- they are still
unsupported.

--Artem


On Tue, May 17, 2016 at 1:19 PM, Peter Steinbach <steinbac at mpi-cbg.de>
wrote:

> Hi Artem,
>
> the described "bug" is gone with llvm/clang trunk. Are there any news on
> texture memory support with cuda clang yet?
>
> Thanks a bunch -
> P
>
> On 17.05.2016 00:28, Artem Belevich wrote:
>
>> 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 <http://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
>> <mailto: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
>>     <mailto: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 <tel:%2B49%20351%20210%202882>
>>         fax +49 351 210 1689 <tel:%2B49%20351%20210%201689>
>>         www.mpi-cbg.de <http://www.mpi-cbg.de>
>>
>>
>>
>>
>>
> --
> 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
>



-- 
--Artem Belevich
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