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Comments (7)

torognes avatar torognes commented on June 13, 2024

Considering the relatively low number of computers in use with AVX2 and the rather limited time now spend on computing alignments, this performance improvement with AVX2 is currently rather limited.

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torognes avatar torognes commented on June 13, 2024

Or use https://github.com/RonnySoak/libssa

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colinbrislawn avatar colinbrislawn commented on June 13, 2024

Parasail implements SIMD parallelisation, including using AVX2.
https://github.com/jeffdaily/parasail/

It's also very fast
https://github.com/jeffdaily/parasail/blob/2967c065de02fc2dc7e44050b4fc6ecfa064b2dc/performance.md

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frederic-mahe avatar frederic-mahe commented on June 13, 2024

Thanks @colinbrislawn, I didn't know about parasail.

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torognes avatar torognes commented on June 13, 2024

Parasail looks interesting and flexible. A master student of mine have been working on another solution which I think is generally faster: https://github.com/RonnySoak/libssa
His master thesis will soon be available. We hope to integrate his code in Swarm and VSEARCH.

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frederic-mahe avatar frederic-mahe commented on June 13, 2024

Edlib is a very fast Levenshtein distance library, suitable for long sequences (> 1 Mb).

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frederic-mahe avatar frederic-mahe commented on June 13, 2024

What are we going to do about this issue?

Considering the relatively low number of computers in use with AVX2 and the rather limited time now spend on computing alignments, this performance improvement with AVX2 is currently rather limited.

Now that AVX2 capable CPUs are more frequent, do you think it would be interesting to implement this? It is difficult for me to access the amount of work necessary, but I imagine that work could be re-used to speed-up vsearch's search function.

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