this post was submitted on 17 May 2024
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Programming

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[–] [email protected] 18 points 6 months ago (7 children)

Yet, it runs on massively parallel hardware like GPUs, with near-linear speedup

What a bold claim...

[–] [email protected] 10 points 6 months ago (6 children)

@eveninghere @ruffsl that claim's correct. But so far it doesn't have great performance on a single core.

[–] [email protected] 8 points 6 months ago* (last edited 6 months ago) (3 children)

Sorry, how could it be correct? On that page there's no explanation on what they're measuring to begin with. No mention on the benchmark set up either. There are problems that can never scale linearly due to the reality of hardware.

[–] sus 1 points 6 months ago (2 children)

the "will linearly speedup anything [to the amount of parallel computation available]" claim is so stupid that I think it's more likely they meant "only has a linear slowdown compared to a basic manual parallel implementation of the same algorithm"

[–] [email protected] 3 points 6 months ago

Good thing they don’t claim that. Read the README, they make very nuanced and reasonable claims about their very impressive language

[–] [email protected] 2 points 6 months ago* (last edited 6 months ago)

Yeah, and still... the example code in github is also bad. The arithmetic is so tiny that the performance of the execution can be worse than the serial execution. It makes the impression that the language parallelizes everything possible, in which case the execution would possibly get stuck at some parallel parts that's not worth parallelizing.

There's a huge chunk of technical information missing for an expert to imagine what's going on. And too many comments here still praise the language. They don't mention anything concrete in those texts. This makes me REALLY skeptical of this post.

Edit: there are many posts that make up BS for job interviews. I sure hope this is not one of those.

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