Kaan

After the https://github.com/spack/spack/pull/38559 merges, we will not need the make.inc.* files since they will be generated by Spack

Babelstream v5.0 Spack Package Updates

4

This update makes the Spack package compatible with the latest version 5.0 of Babelstream alongside with added support for Fortran packages!

nvcc compiler won't work on reframe but it works with spack

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I executed `spack install nvhpc` and it installed the nvhpc compilers. I then added the directories into `.spack/compilers.yaml` file : ```python - compiler: spec: nvhpc@=23.9 paths: cc: /lustre/home/br-kolgu/spack/opt/spack/cray-rhel8-broadwell/gcc-13.1.0/nvhpc-23.9-glmhdcpn2c4zouhzuatdrdj7x7igniik/Linux_x86_64/2023/compilers/bin/nvcc cxx: /lustre/home/br-kolgu/spack/opt/spack/cray-rhel8-broadwell/gcc-13.1.0/nvhpc-23.9-glmhdcpn2c4zouhzuatdrdj7x7igniik/Linux_x86_64/2023/compilers/bin/nvc++...

The Execution Time Difference Between Event_Profiling and Steady Clock

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I am trying to profile my code and I am getting different results each time I run the code. ``` auto start = std::chrono::steady_clock::now(); foo() auto end = std::chrono::steady_clock::now(); time...

Hi, I was trying to build rmat graphs via ``` S = int(sys.argv[2]) # scale factor E = int(sys.argv[3]) # edge factor # Benchmark Parameters A = 0.57 B =...

Compiling with Spack Installed GCC Errors

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### Describe the bug I am trying to install with spack provided GCC, followed this solution here for external CUDA support but having similar problem for non default located GCC...

Hi, I am trying to follow the instructions here https://live.boost.org/doc/libs/1_86_0/libs/graph_parallel/doc/html/scalable_rmat_generator.html but the issue is that example code does not work : ``` #include #include #include #include using boost::graph::distributed::mpi_process_group; typedef compressed_sparse_row_graph...

Applying omp_cpu_trans to the files excluded from the omp_gpu_trans

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Would this combined omp_cpu_trans and omp_gpu_trans files work ? I assume it will I haven't tested yet ``` from utils import ( insert_explicit_loop_parallelism, normalise_loops, add_profiling, enhance_tree_information, OTHER_ISSUES, DONT_PARALLELISE) from psyclone.psyir.nodes...