JuliaGPU/CUDA.jl

Support for GPUDirectStorage

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#1,630 opened on Oct 18, 2022

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 (13 comments) (0 reactions) (0 assignees)Julia (274 forks)batch import
cuda librariesenhancementhelp wanted

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Description

We are using compressed disk array storage (Zarr.jl [1]). In Python there is kvikIO [2], which allows loading Zarr arrays directly into GPU memory. There are two steps, one is loading a chunk of the Zarr array into memory and the second one is to decompress it.

What would it take to implement this in Julia?

@Sonicious @meggart @felixcremer

[1] https://github.com/JuliaIO/Zarr.jl [2] https://docs.rapids.ai/api/kvikio/stable/

Contributor guide

Research direction
Investigate how to use CUDA's GPUDirectStorage (GDS) to load compressed Zarr chunks directly into GPU memory, bypassing CPU. Look at kvikIO's implementation in Python and adapt to Julia's CUDA.jl and Zarr.jl.
Tech stack
None
Domain
backenddataperformance
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 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.
Clear
Prerequisites
GitJuliaCUDAZarr.jl
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
20