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Show HN: Knowledge-Bank

https://github.com/gabrywu-public/knowledge-bank
1•gabrywu•1m ago•0 comments

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Take a trip to Japan's Dododo Land, the most irritating place on Earth

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British drivers over 70 to face eye tests every three years

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2•anipaleja•27m ago•0 comments
Open in hackernews

Hip: C++ Heterogeneous-Compute Interface for Portability

https://github.com/ROCm/hip
36•doener•8mo ago

Comments

Ygg2•8mo ago
What is the relation between this and Zluda[1]?

[1]https://github.com/vosen/ZLUDA

krapht•8mo ago
HIP is something you can put in production and Zluda is a proof-of-concept?
Ygg2•8mo ago
Ok, but it's that their only difference? Zluda was supported by AMD for some time. Is it just that Hip is currently more complete?
3836293648•8mo ago
You using HIP was supported by AMD. Zluda was getting support from AMD. Not the same kind of support
Ygg2•8mo ago
Yeah, I get it now. HIP converts CUDA code to HIP code, then converts that code to ROCm (AMD) or PTX(nVidia). Zluda converts CUDA code to PTX, but that CUDA license was changed during 2021 to prevent these kinds of efforts.

This is why AMD dropped all involvements with Zluda (they were contributing code to it).

almostgotcaught•8mo ago
Lol that's like asking what's the difference between the empire state building and the shed in my backyard: one is the runtime that the company that owns/makes the GPUs has been building for 10 years and the other is a (good) solo project.
Ygg2•8mo ago
Well, god forbid people ask questions.
spmurrayzzz•8mo ago
There's no relation per se (apart from AMD once being involved, before asking the developer to take the project offline).

It is worth noting however that they accomplish their goals very differently. ZLUDA is now DoA-ware because of nvidia's use constraint in their license regarding translation layers. HIP doesn't have this issue.

TheCycoONE•8mo ago
Since no one answered you, HIP is a compile time target, you use hipify to transform your cuda code, then you compile it with hipcc, and hopefully everything works; or you target HIP directly.

ZLUDA was a translation layer, ala wine for cuda applications.

Ygg2•8mo ago
Thanks a thousand times over.
fursund•8mo ago
There's also https://docs.scale-lang.com/stable/
isusmelj•8mo ago
Is there anything like this also supporting other GPUs? Thinking of Apple Silicon or embedded ones in phones etc.