[QST] Parallel Execution of cugraph::bfs Using RAFT and OpenMP for Stream Management

[Ibrahim25-ai]

// Initialize RAFT resources and stream pool
raft::resources res;
raft::resource::sync_stream(res);
std::shared_ptrrmm::cuda_stream_pool stream_pool = std::make_sharedrmm::cuda_stream_pool(min_thread);
raft::device_resources resources(rmm::cuda_stream_per_thread, stream_pool);
//Creating graph in the gpu using cugraph
#pragma omp parallel num_threads(min_thread)
{
#pragma omp for
for (int i = 0; i < v_edgeWeight.size(); i++)
{
int threadNo = omp_get_thread_num();
auto stream_view = resources.get_stream_from_stream_pool(threadNo);
raft::handle_t local_handle(stream_view);

    // Passing local_handle and stream_view to a function that launches cugraph::BFS
}

}

Will this setup ensure that each BFS operation is parallely executed on the GPU ? Any potential pitfalls or performance issues I should be aware of with this approach?

I appreciate any insights or suggestions you might have. Thank you!