NVIDIA / NVIDIA/warp

[REQUEST] Support running GPU kernels with arrays in system memory on Grace Hopper

Open
#422 2 comments 0 reactions 1 assignee View on GitHub

@shi-eric is already working on this.

Since Apr 29, 2026.

feature request platform
Dominant language
Python
Stars
7.1k
Forks
624
Avg merge
3d 17h
Merged PRs (30d)
5

Description

Description

It should be possible to mix-and-match arrays on Grace Hopper systems, e.g. CPU kernels can access arrays residing in GPU memory and vice versa. A runtime check requiring all arrays to be allocated on the same device as the kernel is one of the things preventing this from working:

https://github.com/NVIDIA/warp/blob/211b962cfedbab65b491d06ccc50e0ec31bb2196/warp/context.py#L4945-L4949

There might be additional changes required for this capability to be performant.

Similarly, it should be possible to mix-and-match GPU arrays when peer access is enabled on peer-capable GPUs.

Context

Take advantage of platform features.

Contributor guide

Open the contributing guide

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.

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.