FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3099458570> ?p ?o ?g. }

• W3099458570 abstract "Innovations in genome sequencing techniques are enabling remarkably fast and low cost production of raw genome data. As Moore's law tapers off, bottlenecks in genome sequencing are shifting to computational resources for mapping reads to reference DNA. This paper presents SeedEx, a read-alignment accelerator focused on the seed-extension step. SeedEx is based on the observation that only a small fraction of reads require large edit distance for alignment, hence an area efficient narrow-band seed-extension accelerator can suffice in practice. However, due to the highly error-sensitive nature of genomic workloads, guaranteeing optimality of alignment result is of cardinal importance. Towards this end, we propose a speculation-and-test based framework by using strict but powerful optimality checking mechanisms. We demonstrate SeedEx by an implementation on a cloud FPGA. SeedEx achieves 6.0× iso-area throughput speedup when compared to a banded Smith-Waterman baseline, and achieving 43.9 M seed extentions/s on AWS f1.2xlarge instance. Integration with BWA-MEM2 improves the execution time by 2.3×." @default.
• W3099458570 created "2020-11-23" @default.
• W3099458570 creator A5003185757 @default.
• W3099458570 creator A5010439153 @default.
• W3099458570 creator A5027544576 @default.
• W3099458570 creator A5033274522 @default.
• W3099458570 creator A5045094691 @default.
• W3099458570 creator A5058871698 @default.
• W3099458570 creator A5075649670 @default.
• W3099458570 date "2020-10-01" @default.
• W3099458570 modified "2023-10-16" @default.
• W3099458570 title "SeedEx: A Genome Sequencing Accelerator for Optimal Alignments in Subminimal Space" @default.
• W3099458570 cites W1518920518 @default.
• W3099458570 cites W1566539040 @default.
• W3099458570 cites W1573552135 @default.
• W3099458570 cites W1982088757 @default.
• W3099458570 cites W1999887682 @default.
• W3099458570 cites W2039693716 @default.
• W3099458570 cites W2062949766 @default.
• W3099458570 cites W2068519185 @default.
• W3099458570 cites W2074231493 @default.
• W3099458570 cites W2075996757 @default.
• W3099458570 cites W2087064593 @default.
• W3099458570 cites W2093065590 @default.
• W3099458570 cites W2098232690 @default.
• W3099458570 cites W2100751585 @default.
• W3099458570 cites W2108215151 @default.
• W3099458570 cites W2108317509 @default.
• W3099458570 cites W2115069592 @default.
• W3099458570 cites W2128160875 @default.
• W3099458570 cites W2137759177 @default.
• W3099458570 cites W2146379626 @default.
• W3099458570 cites W2150677022 @default.
• W3099458570 cites W2154826966 @default.
• W3099458570 cites W2165654401 @default.
• W3099458570 cites W2236895266 @default.
• W3099458570 cites W2301413049 @default.
• W3099458570 cites W2749221838 @default.
• W3099458570 cites W2761621268 @default.
• W3099458570 cites W2766073137 @default.
• W3099458570 cites W2789784730 @default.
• W3099458570 cites W2789843538 @default.
• W3099458570 cites W2883847355 @default.
• W3099458570 cites W2889019034 @default.
• W3099458570 cites W2951529834 @default.
• W3099458570 cites W2953174564 @default.
• W3099458570 cites W2971559821 @default.
• W3099458570 cites W4234221848 @default.
• W3099458570 cites W848133049 @default.
• W3099458570 doi "https://doi.org/10.1109/micro50266.2020.00080" @default.
• W3099458570 hasPublicationYear "2020" @default.
• W3099458570 type Work @default.
• W3099458570 sameAs 3099458570 @default.
• W3099458570 citedByCount "16" @default.
• W3099458570 countsByYear W30994585702021 @default.
• W3099458570 countsByYear W30994585702022 @default.
• W3099458570 countsByYear W30994585702023 @default.
• W3099458570 crossrefType "proceedings-article" @default.
• W3099458570 hasAuthorship W3099458570A5003185757 @default.
• W3099458570 hasAuthorship W3099458570A5010439153 @default.
• W3099458570 hasAuthorship W3099458570A5027544576 @default.
• W3099458570 hasAuthorship W3099458570A5033274522 @default.
• W3099458570 hasAuthorship W3099458570A5045094691 @default.
• W3099458570 hasAuthorship W3099458570A5058871698 @default.
• W3099458570 hasAuthorship W3099458570A5075649670 @default.
• W3099458570 hasConcept C104317684 @default.
• W3099458570 hasConcept C111919701 @default.
• W3099458570 hasConcept C113425843 @default.
• W3099458570 hasConcept C11413529 @default.
• W3099458570 hasConcept C141231307 @default.
• W3099458570 hasConcept C157764524 @default.
• W3099458570 hasConcept C173608175 @default.
• W3099458570 hasConcept C192953774 @default.
• W3099458570 hasConcept C41008148 @default.
• W3099458570 hasConcept C42935608 @default.
• W3099458570 hasConcept C44359876 @default.
• W3099458570 hasConcept C51679486 @default.
• W3099458570 hasConcept C54355233 @default.
• W3099458570 hasConcept C552990157 @default.
• W3099458570 hasConcept C55493867 @default.
• W3099458570 hasConcept C555944384 @default.
• W3099458570 hasConcept C68339613 @default.
• W3099458570 hasConcept C86803240 @default.
• W3099458570 hasConcept C9390403 @default.
• W3099458570 hasConceptScore W3099458570C104317684 @default.
• W3099458570 hasConceptScore W3099458570C111919701 @default.
• W3099458570 hasConceptScore W3099458570C113425843 @default.
• W3099458570 hasConceptScore W3099458570C11413529 @default.
• W3099458570 hasConceptScore W3099458570C141231307 @default.
• W3099458570 hasConceptScore W3099458570C157764524 @default.
• W3099458570 hasConceptScore W3099458570C173608175 @default.
• W3099458570 hasConceptScore W3099458570C192953774 @default.
• W3099458570 hasConceptScore W3099458570C41008148 @default.
• W3099458570 hasConceptScore W3099458570C42935608 @default.
• W3099458570 hasConceptScore W3099458570C44359876 @default.
• W3099458570 hasConceptScore W3099458570C51679486 @default.
• W3099458570 hasConceptScore W3099458570C54355233 @default.
• W3099458570 hasConceptScore W3099458570C552990157 @default.
• W3099458570 hasConceptScore W3099458570C55493867 @default.
• W3099458570 hasConceptScore W3099458570C555944384 @default.

• next