[llvm-dev] cuda __shfl_sync problem

Johannes Doerfert via llvm-dev llvm-dev at lists.llvm.org
Fri Sep 25 08:05:57 PDT 2020


Have you tried `-target-feature +ptx60`?


On 9/25/20 3:18 AM, George K wrote:
> Do you mean in llc? Because i don't see such an option i'm afraid.
>
> ~George
>
> On 24-09-2020 20:54, Johannes Doerfert wrote:
>> Not that I am an expert but it looks like it defaults to the minimal 
>> PTX version that supports the compute capability. You might be able 
>> to choose PTX 6.0 though.
>>
>> ~ Johannes
>>
>>
>> On 9/24/20 1:02 PM, George K via llvm-dev wrote:
>>> Hi,
>>>
>>> First of all, i'm not sure if i should be posting this here or in 
>>> cfe-dev, but here it goes.
>>>
>>> In order to instrument CUDA kernels i first generate device IR with:
>>>
>>> clang++ -x cuda --cuda-device-only -emit-llvm --cuda-gpu-arch=sm_52 
>>> -o device.bc
>>>
>>> I also have a library that contains the instrumentation stubs for 
>>> which i generate IR similarly and i link it with the device IR 
>>> programmatically with Linker::linkModules(..)
>>>
>>> Then after some analysis i use llc to get ptx:
>>>
>>> llc device.bc --march=nvptx64 --mcpu=sm_52 --filetype=asm -o device.ptx
>>>
>>> This works fine but the problem is that the instrumentation code 
>>> uses __shfl_sync() and ptxas gives me the following error:
>>>
>>> ptxas device.ptx, line 1033; error   : Feature 'shfl.sync' requires 
>>> PTX ISA .version 6.0 or later
>>>
>>> Now according to 
>>> https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#warp-shuffle-functions,
>>>
>>> __shfl_sync is supported by compute capability >= 3 and according to 
>>> https://developer.nvidia.com/cuda-gpus#compute my GTX950 has Compute 
>>> Capability 5.2.
>>>
>>> Also according to 
>>> https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#release-notes 
>>> PTX ISA 6.0 does support sm_52.
>>>
>>> However llc generates:
>>>
>>> .version 4.1
>>> .target sm_52, debug
>>> .address_size 64
>>>
>>> Any ideas why this is happening? Or am i doing something wrong?
>>>
>>> PS. I'm using CUDA 10, driver 440
>>>
>>> ~George
>>>
>>>
>>>
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