NVIDIA / NVIDIA/stdexec

/examples/nvexec/bulk.cpp using nvexec::multi_gpu_stream_context?

Open
#1,304 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
C++
Stars
2.4k
Forks
270
Avg merge
3d 6h
Merged PRs (30d)
39

Description

Hello,

I've been messing around with the library examples and noted that the /examples/nvexec/bulk.cpp does not compile when using nvexec::multi_gpu_stream_context. What is the "canonical" way to send a bulk job to a multi-gpu context?

I'm writting a multi-agent simulator, and currently I'm using:

    const auto work2 = stdexec::when_all(
      stdexec::just() |
        exec::on(gpu, stdexec::bulk(environment->size, human_mosquito_contact)),
      stdexec::just() |
        exec::on(gpu,
                 stdexec::bulk(environment->size, mosquito_mosquito_contact)));
    
	stdexec::sync_wait(std::move(work2));

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with /examples/nvexec/bulk.cpp and reproduce the compilation failure using nvexec::multi_gpu_stream_context. Inspect the example's bulk and multi-GPU context usage, then verify that the canonical multi-GPU bulk-job pattern compiles and runs successfully.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp
Domain
backend-api-design
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.