NVIDIA / NVIDIA/AMGX

Are there best practices for AMGX on multiple GPUs? (NVLink)

Open
#352 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Cuda
Stars
692
Forks
197
PR merge metrics
No merged PRs in 30d

Description

How can I solve a super huge system on multiple GPUs communicate with each other by nvilink?

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

The issue names no files, tests, or entry points. Start by reviewing AMGX's documentation and examples for multi-GPU execution and NVLink communication; done would be a documented, project-specific best-practices answer for solving very large systems across multiple GPUs.

Written by the indexing model from the issue text.

Assessment

Domain
distributed-systems, hpc
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.