Zobrazeno 1 - 10
of 13
pro vyhledávání: '"David, Bruns"'
Autor:
Anja Stauber, Nadine Schüßler, Sarah Palmdorf, Nina Schürholz, David Bruns, Jürgen Osterbrink, Nadja Nestler
Publikováno v:
BMC Musculoskeletal Disorders, Vol 21, Iss 1, Pp 1-10 (2020)
Abstract Background Total knee replacement (TKR) or total hip replacement (THR) are common and effective procedures in patients with osteoarthritis (OA) to restore physical function and reduce joint related pain. Patient education plays an important
Externí odkaz:
https://doaj.org/article/7d5e1a01a7d74dc39d6c7a8690956965
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:
Future Generation Computer Systems. 96:207-215
The increasing size, variety, rate of growth and change, and complexity of network data has warranted advanced network analysis and services. Tools that provide automated analysis through traditional or advanced signature-based systems or machine lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::412538d46dd2fc045e4622357d98855c
https://doi.org/10.1016/j.future.2019.01.039
https://doi.org/10.1016/j.future.2019.01.039
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
Autor:
Johnny Le, Brendan Sweeney, Anthony D. Joseph, Qijing Huang, David A. Patterson, Andrew Lin, Krste Asanovic, David Bruns-Smith, Frank Austin Nothaft, Sagar Karandikar, Lisa Wu, Howard Mao
Publikováno v:
HPCA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c81203594d3bba47de72a2c86a6fa1ab
https://doi.org/10.1109/hpca.2019.00044
https://doi.org/10.1109/hpca.2019.00044
Autor:
Steven David Bruns
John Wesley created an independent Methodist Church in 1784 in order to provide the sacraments to its members in America. The system created, however, did not seem to have the same understanding of the Lord's Supper that Wesley had, and it did not al
Autor:
Benoit Pradelle, James Ezick, M. Harper Langston, Richard Lethin, David Bruns-Smith, Thomas Henretty, Muthu Baskaran
Publikováno v:
HPEC
Tensor decompositions are a powerful technique for enabling comprehensive and complete analysis of real-world data. Data analysis through tensor decompositions involves intensive computations over large-scale irregular sparse data. Optimizing the exe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a97af360a89ad7d8789854b6123687c2
https://doi.org/10.1109/hpec.2017.8091026
https://doi.org/10.1109/hpec.2017.8091026
Publikováno v:
HPEC
With the recent explosion of systems capable of generating and storing large quantities of GPS data, there is an opportunity to develop novel techniques for analyzing and gaining meaningful insights into this spatiotemporal data. In this paper we exa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c6278050145da4294d51edbd6afd981
https://doi.org/10.1109/hpec.2017.8091028
https://doi.org/10.1109/hpec.2017.8091028
Autor:
Muthu Baskaran, Richard Lethin, Thomas Henretty, David Bruns-Smith, Tahina Ramananandro, M. Harper Langston, James Ezick
Publikováno v:
HPEC
Tensor analysis (through tensor decompositions) is increasingly becoming popular as a powerful technique for enabling comprehensive and complete analysis of real-world data. In many critical modern applications, large-scale tensor data arrives contin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e8df70abd81f5cce5e27d1795cee4a3
https://doi.org/10.1109/hpec.2016.7761607
https://doi.org/10.1109/hpec.2016.7761607