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hpc-patterns's Introduction

GpuParallelExamples

Provide examples on how to use GPU with Parallel Programing Paradigm (MPI, OpenMP, SYCL)

  • Mpich : Example of Using "GPU awaure" MPIC
  • Interopt: How to savely interop OpenMP and SYCL (via your favorite backend)

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hpc-patterns's Issues

Out-of-memory issue

I'm seeing out-of-memory errors with hipSYCL. I think it is related to the max alloc size entering the allocation sizes here:

std::unordered_map<std::string, long> commands_parameters_default = {{"globalsize_M2D", D.get_info<sycl::info::device::max_mem_alloc_size>() / sizeof(float)},

It could be that the returned value is not super reliable on hipSYCL, or that multiple allocations are taking place (which the code does not seem to do at first glance?).
What is the best approach to dealing with this? There is the --globalsize flag, but this seems to disable the autotuning logic. Is this safe to do? Would it be a better approach to set the default values for these settings in the code to something reasonable?

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