@bkj Essentials Related Repos

Partial list of projects that @bkj worked on from Nov 2020 - May 2021.

If you have any questions about these projects, please open an issue tagging @bkj.

Documentation

• essentials_guides
  • Markdown guides to getting started w/ essentials

Applications

• mgpu_sssp - MultiGPU SSSP implementation, using thrust + NCCL. Equivalent to VN HIVE workload.
• cuda_ppr - CUDA PPR (Parallel PageRank Nibble) implementation, using thrust
• application_classification
  • branch:master - re-worked single GPU implementation of application classification
  • branch:dev/mgpu - MGPU implementation using thrust. Performance issues because of blocking cudaMalloc and cudaFree
  • branch:dev/mgpu_manual_reduce - changes to dev/mgpu to remove performance issues by doing manual memory management. A little ugly, so haven't merged to dev/mgpu or master yet.
• graphblas_proj
  • branch:dev/mgpu2 -- MGPU implementation of graph_projections HIVE workload

Python bindings

• python_essentials - Python wrappers for essentials using pybind11 and pytorch
  • Works, but may be difficult to install given version (in)compatabilities between pytorch, cudnn, and cuda versions

Scratch

• bkj/essentials - workspace for all of my essentials experiments
  • I think most everything interesting here has been merged to gunrock/essentials
• mgpu_test
  • Scratch repository for experiments w/ MGPU filters in thrust

Unstable

• https://github.com/cfld/cugraph
  • Fork of cugraph showing how to bind to essentials APIs
  • Needs to be updated to work w/ current versions of cugraph and `essentials
• https://github.com/bkj/async-queue-paper (private -- can give access)
  • Scratch repository for async cuda experiments
• https://github.com/cfld/cuda-async-bfs (private -- can give access)
  • Minimal implementation of async BFS in CUDA