similar to: CUDA separate compilation

Hi, I am sorry for sending this query again here, but maybe I sent it to wrong list yesterday. I am trying to compile LonestarGPU-rev2.0 <http://iss.ices.utexas.edu/?p=projects/galois/lonestargpu/download> benchmark suite with LLVM/CLANG. This suite has a following piece of code (more info here

David's change makes nvvm_reflect_anchor unnecessary. The issue with dots in names generated by llvm still needs to be fixed. On Apr 9, 2016 8:32 AM, "Jingyue Wu" <jingyue at google.com> wrote: > Artem, > > With David's http://reviews.llvm.org/rL265060, do you think > __nvvm_reflect_anchor is still necessary? > > On Fri, Apr 8, 2016 at 9:37 AM, Yuanfeng

I was wondering if anyone has encountered this issue when cross compiling cuda on Nvidia TX2 running android. The error is In file included from <built-in>:1: In file included from prebuilts/clang/host/linux-x86/clang-4667116/lib64/clang/7.0.1/include/__clang_cuda_runtime_wrapper.h:219: ../cuda/targets/aarch64-linux-androideabi/include/math_functions.hpp:3477:19: error: no matching function

+Artem Belevich <tra at google.com> On Fri, Mar 23, 2018 at 7:53 PM Bharath Bhoopalam via llvm-dev < llvm-dev at lists.llvm.org> wrote: > I was wondering if anyone has encountered this issue when cross compiling > cuda on Nvidia TX2 running android. > > The error is > In file included from <built-in>:1: > In file included from >

Hi, I work in a large CUDA codebase and use Clang to build some of our CUDA code to improve compilation speed. We're planning to upgrade to CUDA 11 soon, and it appears that CUDA 11 is not yet supported in LLVM. >From the LLVM commits history, I can see that work on CUDA 11 has started. Is this currently being worked on? What is the remaining work left? And is any help needed to finish

Hello, When generating the PTX output from CUDA file(.cu file), the minimum target that is accepted by LLVM is sm_20. But I have a specific requirement to generate PTX output for compute capability 1.0 (sm_10). Is there any previous version of LLVM supporting this? Thank you, Ginu -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi Alexey, Almost a year has passed and Nvidia finally fixes the ptxas issue in CUDA 10.2 according to: https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html#cuda-compiler-resolved-issues However, I can not yet use it with llvm 9.0.0 release because CUDA 10.2 is not supported yet. Is there other branches of the llvm repo that supports CUDA 10.2 now? Or do I need to wait for llvm 10

Hi Arpith, That is exactly what it is :). My bad, I thought I copied over the libraries to where LIBRARY_PATH pointing but apparently it was copied to a wrong destination. Thanks a lot. On Wed, Jan 20, 2016 at 4:51 AM, Arpith C Jacob <acjacob at us.ibm.com> wrote: > Hi Ahmed, > > nvlink is unable to find the GPU OMP runtime library in its path. Does > LIBRARY_PATH point to

OK, I see the problem. You were right that we weren't picking up libdevice. CUDA 7.0 only ships with the following libdevice binaries (found /path/to/cuda/nvvm/libdevice): libdevice.compute_20.10.bc libdevice.compute_30.10.bc libdevice.compute_35.10.bc If you ask for sm_50 with cuda 7.0, clang can't find a matching libdevice binary, and it will apparently silently give up and try to

Yeah, '.' is the direct reason for the ptxas failure here. I'm curious, however, about what the purpose of nvvm_reflect_anchorv() is here, and why does the front-end always generate this function? Since the current PTX emission doesn't mangle dots, it would be a reasonable workaround for me to prevent the front-end from generating this function in the first place. Is there any

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

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, I needed to debug some CUDA code in my project; however, although I used -g when compiling the source code, no source-level information is available in cuda-gdb or cuda-memcheck. Specifically, below is what I did: 1) For a CUDA file a.cu, generate IR files: clang++ -g -emit-llvm --cuda-gpu-arch=sm_35 -c a.cu; 2) Instrument the device code a-cuda-nvptx64-nvidia-cuda-sm_35.bc (generated

Hi everybody, As you know, Cuda/NVPTX target has very limited support of the debug info in Clang/LLVM. Currently, LLVM supports only emission of the line numbers debug info. This is caused by limitations of the Cuda/NVPTX codegen. Clang/LLVM translates the source code to LLVM IR, which is then lowered to PTX (parallel thread execution) intermediate file. This PTX file represents special kind of

06.11.2017 14:56, Robinson, Paul пишет: >> Hi everybody, >> As you know, Cuda/NVPTX target has very limited support of the debug >> info in Clang/LLVM. Currently, LLVM supports only emission of the line >> numbers debug info. >> This is caused by limitations of the Cuda/NVPTX codegen. Clang/LLVM >> translates the source code to LLVM IR, which is then lowered to

Nobody blames ptxas. I'm not saying that these are the troubles, I'm just saying that it has some features and we have some problems to be solved. But lack of labels, label arithmetics in DWARF sections is the real problem, because LLVM actively uses it in DWARF sections Best regards, Alexey Bataev 8 нояб. 2017 г., в 5:35, Madhur Amilkanthwar <madhur13490 at

We have an application that allows the user to compile and execute C++ code on the fly, using Orc JIT v2, via the LLJIT class. And we would like to extend it to allow the user to provide CUDA source code as well, for GPU programming. But I am having a hard time figuring out how to do it. To JIT compile C++ code, we do basically as follows: 1. call Driver::BuildCompilation(), which returns a

Hi Alexey, Thanks for the great work! The version I checked out works most of the time. But I do encounter crashes sometimes. I can't file a bug report on https://bugs.llvm.org/ because I don't have an account. I sent an email to bugs-admin at lists.llvm.org for an account already but I haven't heard back. Meanwhile, can you take a look at the issue? I'm attaching the bug report

Hi Alexey, Is there any option for clang to turn on debug for the host code only but not the device code? I've been using something like -ggdb3 -O0 but this generate debug info for both host and device. I'm trying to work around the aforementioned ptxas bug. Thanks, Char At 2019-02-28 02:09:54, "Alexey Bataev" <a.bataev at outlook.com> wrote: Hi Char, it looks like

Hi Alexey, I submitted the bug report to nvidia. While they are working on it, can you share some insight in what could potentially cause this? I just want to get a sense if such a bug require significant amount of work to fix, which can help me make some decision moving forward with my project. Thanks, Char At 2019-02-27 03:19:02, "Alexey Bataev" <a.bataev at outlook.com>