Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lisa Wu Wills"'
Autor:
Krste Asanovic, Tae Jun Ham, Brendan Sweeney, Seong Hoon Seo, Jae W. Lee, David Bruns-Smith, U Gyeong Song, Yejin Lee, Young H. Oh, Lisa Wu Wills
Publikováno v:
IEEE Micro. 41:42-49
This article presents a framework, Genesis (genome analysis), to efficiently and flexibly accelerate generic data manipulation operations that have become performance bottlenecks in the genomic data processing pipeline utilizing FPGAs-as-a-service. G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2609ebf2c11f4de7233b6488ef54b5d
https://doi.org/10.1109/mm.2021.3072385
https://doi.org/10.1109/mm.2021.3072385
Publikováno v:
Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::798d735d73573938cf07eed877043f9b
https://doi.org/10.1145/3503222.3507722
https://doi.org/10.1145/3503222.3507722
Autor:
Lisa Wu Wills
Publikováno v:
MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86f477a91ee12e9731615368c36150d6
https://doi.org/10.1145/3492794
https://doi.org/10.1145/3492794
Autor:
Karthik Swaminathan, Lisa Wu Wills
Publikováno v:
IEEE Transactions on Computers. 69:1096-1098
The papers in this special section examine domain-specific architectures for emerging applications. Presents innovative research in domain-specific architectures across a broad range of emerging applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c50b731b5551ee57f00b30b0ecb8146d
https://doi.org/10.1109/tc.2020.3002674
https://doi.org/10.1109/tc.2020.3002674
Autor:
David Bruns-Smith, Krste Asanovic, Seong Hoon Seo, Jae W. Lee, Tae Jun Ham, Brendan Sweeney, Yejin Lee, U Gyeong Song, Lisa Wu Wills, Young H. Oh
Publikováno v:
ISCA
In this paper, we describe our vision to accelerate algorithms in the domain of genomic data analysis by proposing a framework called Genesis (genome analysis) that contains an interface and an implementation of a system that processes genomic data e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5893e1af778095229069d898f7289096
https://doi.org/10.1109/isca45697.2020.00031
https://doi.org/10.1109/isca45697.2020.00031