GPU-accelerated homology search with MMseqs2
Felix KallenborniD, Alejandro ChacóniD, Christian HundtiD, Hassan SirelkhatimiD, Kieran DidiiD, Sooyoung ChaiD, Christian DallagoiD, Milot MirditaiD, Bertil SchmidtiD, Martin SteineggeriD
Abstract
Rapidly growing protein databases demand faster sensitive sequence similarity detection. We present GPU-accelerated search utilizing intra-query parallelization delivering 6x faster single-protein searches compared to state-of-the-art CPU methods on 2x64 cores--speeds previously requiring large protein batches. It is most cost effective, including in large-batches at 0.45x MMseqs2-CPU speed (8 GPUs delivering 2.4x). It accelerates ColabFold structure prediction 31.8x compared to AlphaFold2 and Foldseek search 4-27x. MMseqs2-GPU is open-source at mmseqs.com.
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