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jgbit
vuda
C++2018–2023
jgbit / vuda

vuda

VUDA is a header-only library based on Vulkan that provides a CUDA Runtime API interface for writing GPU-accelerated applications.

3Distinct people
3Mentions
0Explicit recommenders
918GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

VUDA is a header-only library based on Vulkan that provides a CUDA Runtime API interface for writing GPU-accelerated applications.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year3 dated mentions

Observed mentions: 2018-10-08 18:06:42 UTC to 2023-07-01 13:00:17 UTC.

012018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2023

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC110
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC110

What Hacker News says

3 sources
My personal take on this is that OpenCL is not the way forward, that deployment is going to be on Vulkan and likely WebGPU. But there is an enormous gap in the ecosystem, as Vulkan is very low-level and GLSL is a primitive language for writing compute kernels (though it can be done in theory). I think the OpenCL people get that, and have listed clvk and clspv on their roadmap. That gives considerably better options for actually running compute workloads than crossing one's fingers and hoping that the GPU vendors will implement the spec out of a sense of pity for the spec writers. Another similar project I learned about recently is vuda[1]. Another project to watch closely is JAX/MLIR, which promises to run Tensorflow workloads directly on Vulkan. In that ecosystem, it's not clear at all what value an OpenCL layer would add. I have a blog
Read the rest
post in draft about very fast prefix sum running on Vulkan, thanks to a comment from fluffything in response to my GPU talk (could you let me know how you would like to be attributed)? I finally got it to within 10% of memcpy bandwidth over the weekend, so I'm going to declare victory and write it up. [1]: https://github.com/jgbit/vuda
In Khronos Announces OpenCL 3.0

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