ymahlau/fdtdx

Support for Metal hardware

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#11 opened on Jan 21, 2025

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 (13 comments) (1 reaction) (0 assignees)Python (66 forks)auto 404
enhancementhelp wanted

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Description

In addition to Nvidia GPUs/ TPUs, Mac computers also have GPUs with reasonable computational power, and offered by Jax-metal for support. They normally have larger available memories (e.g. 32/64GB) compared with CUDA memories. I think some adaptation to support using this backend might be helpful

Contributor guide

Research direction
Investigate integrating jax metal backend. Study existing GPU code paths in fdtdx and adapt to use Metal arrays. Check JAX documentation for Metal support.
Tech stack
python
Domain
backend
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
Python
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
45