codeplaysoftware / cuda-to-sycl-nbody Goto Github PK

Hello,

I've successfully build the CUDA version of the code.

Is it possible to measure performance without relying on OpenGL or Xvfb ?
In a public supercomputer environment, it is very difficult to request installation of dependencies required for running the test.

• In case of GLM, GLFW, and GLEW, I was able to install them locally via Spack. However, as mentioned in the repo, running the code through X-tunneling is not recommended.
• In case of Xvfb, it is part of Xorg, and we cannot request installation of these packages in a shared environment.

Also, when running CUDA version, the following error is generated on CentOS 7.9

$ ./nbody_cuda
Error id : 65543, GLX: Failed to create context: 161

I appreciate if you can provide some suggestion to circumvent these issues.

Regards.

As reported by @irudkin in #23 users compiling the project with oneAPI Base Toolkit 2023.0.0 and the corresponding SYCL CUDA backend plugin may run into some release-specific compilation issues. Namely:

• dpcpp executable is deprecated and replaced with icpx -fsycl
• compilation errors and/or warnings described in https://developer.codeplay.com/products/oneapi/nvidia/2023.0.0/guides/troubleshooting

A suggested solution:

1. Replace dpcpp check in src_sycl/CMakeLists.txt with an icpx check
2. Link the troubleshooting guide in the README

I tried the DPCT tool from Syclomatic. It does not generate the cast...

sycl::rsqrt((double)dist_sqr * dist_sqr * dist_sqr);