Matches in SemOpenAlex for { <https://semopenalex.org/work/W3211287750> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W3211287750 abstract "Metagenomic workflows involve studying uncultured microorganisms directly from the environment. These environmental samples when processed by modern sequencing machines yield large and complex datasets that exceed the capabilities of metagenomic software. The increasing sizes and complexities of datasets make a strong case for exascale-capable metagenome assemblers. However, the underlying algorithmic motifs are not well suited for GPUs. This poses a challenge since the majority of next-generation supercomputers will rely primarily on GPUs for computation. In this paper we present the first of its kind GPU-accelerated implementation of the local assembly approach that is an integral part of a widely used large-scale metagenome assembler, MetaHipMer. Local assembly uses algorithms that induce random memory accesses and non-deterministic workloads, which make GPU offloading a challenging task. Our GPU implementation outperforms the CPU version by about 7x and boosts the performance of MetaHipMer by 42% when running on 64 Summit nodes." @default.
- W3211287750 created "2021-11-08" @default.
- W3211287750 creator A5006616066 @default.
- W3211287750 creator A5011195132 @default.
- W3211287750 creator A5016671058 @default.
- W3211287750 creator A5035719914 @default.
- W3211287750 creator A5044323124 @default.
- W3211287750 creator A5074495772 @default.
- W3211287750 creator A5082270383 @default.
- W3211287750 creator A5091741596 @default.
- W3211287750 date "2021-11-13" @default.
- W3211287750 modified "2023-09-27" @default.
- W3211287750 title "Accelerating large scale <i>de novo</i> metagenome assembly using GPUs" @default.
- W3211287750 cites W1982088757 @default.
- W3211287750 cites W1997246534 @default.
- W3211287750 cites W2008995162 @default.
- W3211287750 cites W2012251902 @default.
- W3211287750 cites W2128769815 @default.
- W3211287750 cites W2141920662 @default.
- W3211287750 cites W2163830511 @default.
- W3211287750 cites W2303656007 @default.
- W3211287750 cites W2885406561 @default.
- W3211287750 cites W2996751484 @default.
- W3211287750 cites W3038187997 @default.
- W3211287750 doi "https://doi.org/10.1145/3458817.3476212" @default.
- W3211287750 hasPublicationYear "2021" @default.
- W3211287750 type Work @default.
- W3211287750 sameAs 3211287750 @default.
- W3211287750 citedByCount "1" @default.
- W3211287750 countsByYear W32112877502022 @default.
- W3211287750 crossrefType "proceedings-article" @default.
- W3211287750 hasAuthorship W3211287750A5006616066 @default.
- W3211287750 hasAuthorship W3211287750A5011195132 @default.
- W3211287750 hasAuthorship W3211287750A5016671058 @default.
- W3211287750 hasAuthorship W3211287750A5035719914 @default.
- W3211287750 hasAuthorship W3211287750A5044323124 @default.
- W3211287750 hasAuthorship W3211287750A5074495772 @default.
- W3211287750 hasAuthorship W3211287750A5082270383 @default.
- W3211287750 hasAuthorship W3211287750A5091741596 @default.
- W3211287750 hasBestOaLocation W32112877501 @default.
- W3211287750 hasConcept C104317684 @default.
- W3211287750 hasConcept C111919701 @default.
- W3211287750 hasConcept C11413529 @default.
- W3211287750 hasConcept C118524514 @default.
- W3211287750 hasConcept C120314980 @default.
- W3211287750 hasConcept C15151743 @default.
- W3211287750 hasConcept C162324750 @default.
- W3211287750 hasConcept C173608175 @default.
- W3211287750 hasConcept C177212765 @default.
- W3211287750 hasConcept C185592680 @default.
- W3211287750 hasConcept C187736073 @default.
- W3211287750 hasConcept C2777904410 @default.
- W3211287750 hasConcept C2780451532 @default.
- W3211287750 hasConcept C41008148 @default.
- W3211287750 hasConcept C45374587 @default.
- W3211287750 hasConcept C55493867 @default.
- W3211287750 hasConcept C77088390 @default.
- W3211287750 hasConceptScore W3211287750C104317684 @default.
- W3211287750 hasConceptScore W3211287750C111919701 @default.
- W3211287750 hasConceptScore W3211287750C11413529 @default.
- W3211287750 hasConceptScore W3211287750C118524514 @default.
- W3211287750 hasConceptScore W3211287750C120314980 @default.
- W3211287750 hasConceptScore W3211287750C15151743 @default.
- W3211287750 hasConceptScore W3211287750C162324750 @default.
- W3211287750 hasConceptScore W3211287750C173608175 @default.
- W3211287750 hasConceptScore W3211287750C177212765 @default.
- W3211287750 hasConceptScore W3211287750C185592680 @default.
- W3211287750 hasConceptScore W3211287750C187736073 @default.
- W3211287750 hasConceptScore W3211287750C2777904410 @default.
- W3211287750 hasConceptScore W3211287750C2780451532 @default.
- W3211287750 hasConceptScore W3211287750C41008148 @default.
- W3211287750 hasConceptScore W3211287750C45374587 @default.
- W3211287750 hasConceptScore W3211287750C55493867 @default.
- W3211287750 hasConceptScore W3211287750C77088390 @default.
- W3211287750 hasLocation W32112877501 @default.
- W3211287750 hasLocation W32112877502 @default.
- W3211287750 hasOpenAccess W3211287750 @default.
- W3211287750 hasPrimaryLocation W32112877501 @default.
- W3211287750 hasRelatedWork W1513409726 @default.
- W3211287750 hasRelatedWork W1572523360 @default.
- W3211287750 hasRelatedWork W1997145140 @default.
- W3211287750 hasRelatedWork W2034384303 @default.
- W3211287750 hasRelatedWork W2111075457 @default.
- W3211287750 hasRelatedWork W2218521995 @default.
- W3211287750 hasRelatedWork W2319467001 @default.
- W3211287750 hasRelatedWork W2964552794 @default.
- W3211287750 hasRelatedWork W3206324740 @default.
- W3211287750 hasRelatedWork W2805391225 @default.
- W3211287750 isParatext "false" @default.
- W3211287750 isRetracted "false" @default.
- W3211287750 magId "3211287750" @default.
- W3211287750 workType "article" @default.