similar to: Default Location of CUDA headers in Windows and macOS

Hello ! Does the x86 back-end generate gather-scatter instructions for LLVM gather-scatter intrinsics ? Also, do the NVPTX and AMDGPU back-ends generate equivalent instructions for GPUs ? Thank You, Sanjay -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20170220/dc51b7cd/attachment.html>

Hello, My system hangs every time during last stages of building LLVM ( starting at 95% in a CMake build ) using CMake or Ninja, sometime close to the linking of llvm-dysmutil. Could you please suggest tips that could speed up the compilation ? Thank You, Sanjay -------------- next part -------------- An HTML attachment was scrubbed... URL:

Thank You Chen ! On Thu, Jun 22, 2017 at 5:21 PM 陳韋任 <chenwj.cs97g at g2.nctu.edu.tw> wrote: > Perhaps you can refer to [1]. Function name should be a global one. > > [1] http://llvm.org/docs/LangRef.html#identifiers > > HTH, > chenwj > > > 2017-06-22 16:35 GMT+08:00 SANJAY SRIVALLABH SINGAPURAM via llvm-dev < > llvm-dev at lists.llvm.org>: > >>

Hello, I'd like to know the format a function's name must conform to. Can I be pointed to LLVM documention that specifies the nomenclature for functions and other Identifiers as well (%registers, ModuleID etc.) ? Thanks, Sanjay -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hello, I issued the following command to point the build to use clang and clang++, from a local llvm build directory included in PATH, instead of /usr/bin/{cc,c++}, cmake -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ ../llvm_src The configuration failed with the error stating the compiler didn't recognize '-std=c++11' flag, whereas clang compiled a dummy c++ file with

Hello, I'm working on a project involving LLVM and keep shifting between the Debug and Release build by assigning different values to CMAKE_BUILD_TYPE in <llvm_build>/CMakeCache.txt and then building it. I wanted to know if this was a safe alternative to re-configuring the build after removing <llvm_build>/CMakeFiles/ and <llvm_build>/CMakeCache.txt. Thanks, Sanjay

Do the InitializeAllTargets*() routines call the initialisation routines of all targets even when only some are built ? -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20170323/08bd52a0/attachment.html>

Hello, One of my Julia programs failed to execute with the following error, DICompileUnit not listed in llvm.dbg.cu !11 = distinct !DICompileUnit(language: DW_LANG_C89, file: !3, producer: "julia", isOptimized: true, runtimeVersion: 0,emissionKind: FullDebug, enums : !12) This was generated by verifyModule(*GPUModule,&(llvm::errs())From whithin PPCGCodeGeneration.cpp in Polly.

On Sat, Mar 11, 2017, at 07:34 PM, David Blaikie via llvm-dev wrote: > On Sat, Mar 11, 2017 at 3:10 AM SANJAY SRIVALLABH SINGAPURAM via llvm-dev > < > llvm-dev at lists.llvm.org> wrote: > > > Hello, > > > > One of my Julia programs failed to execute with the following error, > > DICompileUnit not listed in llvm.dbg.cu > > !11 = distinct

Dear all, In the official document <https://llvm.org/docs/CompileCudaWithLLVM.html>, it is mentioned that CUDA compilation is supported on Windows as of 2017-01-05. I used msys2 to install clang 5.0.1. Then I installed cuda 8.0. However, I basically could not compile any code of cuda by the prescribed setting. I wounder if anyone can successfully compile cuda code by the clang on Windows.

Thanks for the heads up Philip ! I did come across a strange case where LLVM allowed "%" to be a part of a function's name. This was in the context of my patch https://reviews.llvm.org/D33985, where I prefix the name of the source function and the Scop ( A special kind of Region that Polly can optimize, the name of the Scop is the name of the Region ) to the name of the PTX kernel

Hal, Tobias, et al. – I am strongly in favor of seeing a broader range of loop transformations, supported by strong dependence analysis, added to LLVM, and the Polly infrastructure seems to be by far our best bet to make that happen. I have a couple of questions: 1) Integer constraint libraries like ISL (and Omega, which I used extensively in a previous project) are fundamentally solving

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, I wanted to ask whether there is ongoing effort (or an already established tool) that enables to convert CUDA kernels (that uses CUDA specific intrinsics, e.g., threadId.x, __syncthreads(), ...) to LLVM IR. I am aware that I can do this for OpenCL with the help of libclc but I can not find something similar for CUDA. Thanks -------------- next part -------------- An HTML attachment was

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

On Wed, Apr 8, 2015 at 10:12 AM, Dmitry Mikushin <dmitry at kernelgen.org> wrote: > A tool of this kind here: https://github.com/apc-llc/nvcc-llvm-ir > > 2015-04-08 19:01 GMT+02:00 Ahmed ElTantawy <ahmede at ece.ubc.ca>: > >> Hi, >> >> I wanted to ask whether there is ongoing effort (or an already >> established tool) that enables to convert CUDA

vychytraly . wrote: > On Thu, Oct 5, 2017 at 9:51 PM, <m.roth at 5-cent.us> wrote: >> >> So, kmod-nvidia installed. Trouble is, I have no tool to test it. And my >> user might need nvcc, which, of course, is only provided by the NVidia >> CUDA, which won't install, because it conflicts with kmod-nvidia. >> >> Has *anyone* dealt with this? If so,

Hi, I have trouble compiling CUDA code with Clang. The following is a command I tried: > clang++ axpy.cu -o axpy --cuda-gpu-arch=sm_35 --cuda-path=/usr/local/cuda The error message is error: unable to create target: 'No available targets are compatible with this triple.' The info of the LLVM I'm using is as follows: > lang++ --version clang version 6.0.0

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

Hello , How to execute a cuda program using llvm? More specifically, nvcc produces some temporary files during its compilation. I want to convert the .cu.cpp to .ll format and optimize it. The .cu.cpp file contains typedefs and enums used by cuda runtime and also the host part of the code and the ptx file contains the kernel definition. How can i run the program after optimization? Will Rhodin