Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Chansup Byun"'
Autor:
Jeremy Kepner, Kenjiro Cho, KC Claffy, Vijay Gadepally, Sarah McGuire, Lauren Milechin, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas
Publikováno v:
Massive Graph Analytics ISBN: 9781003033707
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe99b98c682a20ac669fa095762c813c
https://doi.org/10.1201/9781003033707-13
https://doi.org/10.1201/9781003033707-13
Autor:
Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan C. Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, William Bergeron, Chansup Byun, Daniel Edelman, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Andrew Bowne, Lindsey McEvoy, Baolin LI, Devesh Tiwari, Jiay Gadepally, Siddharth Samsi
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
High-Performance Computing (HPC) centers and cloud providers support an increasingly diverse set of applications on heterogenous hardware. As Artificial Intelligence (AI) and Machine Learning (ML) workloads have become an increasingly larger share of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d2aed6e41d36286cfb32a977c787d31
https://doi.org/10.1109/ipdpsw55747.2022.00122
https://doi.org/10.1109/ipdpsw55747.2022.00122
Autor:
Joseph McDonald, Siddharth Samsi, Daniel Edelman, Chansup Byun, Jeremy Kepner, Vijay Gadepally
Publikováno v:
2021 IEEE High Performance Extreme Computing Conference (HPEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e439dd2127376b196cd479f8c605ba1
https://doi.org/10.1109/hpec49654.2021.9622825
https://doi.org/10.1109/hpec49654.2021.9622825
Autor:
Peter Michaleas, William Arcand, Julie Mullen, Bill Bergeron, Lauren Milechin, Albert Reuther, David Bestor, Andrew Kirby, Michael Jones, Michael Houle, Jeremy Kepner, Matthew Hubbell, Antonio Rosa, Charles Yee, Siddharth Samsi, Anna Klein, Andrew Prout, Chansup Byun, Vijay Gadepally
Publikováno v:
HPEC
Rapid launch of thousands of jobs is essential for effective interactive supercomputing, big data analysis, and AI algorithm development. Achieving thousands of launches per second has required hardware to be available to receive these jobs. This pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd680136831bf48c23da6a610c466f0e
https://doi.org/10.1109/hpec43674.2020.9286142
https://doi.org/10.1109/hpec43674.2020.9286142
Autor:
Chansup Byun, William Arcand, Antonio Rosa, Vijay Gadepally, Matthew Hubbell, David Bestor, Micheal Houle, Matthew Hutchinson, Peter Michaleas, Charles Yee, Andrew Kirby, Julie Mullen, Bill Bergeron, Lauren Milechin, Albert Reuther, Jeremy Kepner, Micheal Jones, Andrew Prout, Siddharth Samsi
Publikováno v:
HPEC
Over the past few years, there has been significant interest in video action recognition systems and models. However, direct comparison of accuracy and computational performance results remain clouded by differing training environments, hardware spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d18848defb624ed2186f025d82fc4e5
http://arxiv.org/abs/2008.09037
http://arxiv.org/abs/2008.09037
Autor:
Doug Stetson, William Bergeron, Antonio Rosa, Adam Tse, Albert Reuther, Micheal Houle, Anna Klein, Jeremy Kepner, Sarah McGuire, Chansup Byun, Chad R. Meiners, Siddharth Samsi, Jonathan Bernays, Andrew Kirby, Julie Mullen, Vijay Gadepally, William Arcand, David Bestor, Lauren Milechin, Micheal Jones, Peter Michaleas, Andrew Prout, Raul Harnasch, Matthew Hubbell, Timothy A. Davis, Charles Yee
Publikováno v:
HPEC
Our society has never been more dependent on computer networks. Effective utilization of networks requires a detailed understanding of the normal background behaviors of network traffic. Large-scale measurements of networks are computationally challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::445ecdb380978303f7d58ca46d24be8c
http://arxiv.org/abs/2008.00307
http://arxiv.org/abs/2008.00307
Autor:
Siddharth Samsi, Chansup Byun, Michael Jones, Michael Houle, Jeremy Kepner, Vijay Gadepally, Peter Michaleas, Matthew Hubbell, Timothy A. Davis, David Bestor, Julie Mullen, Charles Yee, Lauren Milechin, Anna Klein, Albert Reuther, William Arcand, Antonio Rosa, Andrew Prout, William Bergeron
Publikováno v:
IPDPS Workshops
The SuiteSparse GraphBLAS C-library implements high performance hypersparse matrices with bindings to a variety of languages (Python, Julia, and Matlab/Octave). GraphBLAS provides a lightweight in-memory database implementation of hypersparse matrice
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1be3a10a55de80df06476a779d703aec
Autor:
Peter Michaleas, Charles Yee, Antonio Rosa, Matthew Hubbell, Siddharth Samsi, Vijay Gadepally, Albert Reuther, Julie Mullen, Andrew Prout, Bill Bergeron, Lauren Milechin, Chansup Byun, David Bestor, Anna Klein, Michael Jones, Bill Arcand, Michael Houle, Jeremy Kepner, Andrew Kirby
Publikováno v:
HPEC
Artificial Intelligence/Machine Learning applications require the training of complex models on large amounts of labelled data. The large computational requirements for training deep models have necessitated the development of new methods for faster
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26c15d3975681305b94d67f171858124
Autor:
Michael Jones, Michael Houle, Julie Mullen, Tim Kraska, Jeremy Kepner, Anna Klein, Antonio Rosa, Vijay Gadepally, Charles Yee, Lauren Milechin, Peter Michaleas, Chansup Byun, William Bergeron, David Bestor, William Arcand, Matthew Hubbell, Andrew Kirby, Darren Engwirda, Andrew Prout, Navin Vembar, Andreas Kipf, Chris Hill, Sid Samsi, Albert Reuther
Publikováno v:
HPEC
Pandemic measures such as social distancing and contact tracing can be enhanced by rapidly integrating dynamic location data and demographic data. Projecting billions of longitude and latitude locations onto hundreds of thousands of highly irregular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4519aec51158f10fb3cb54394b235c6
Publikováno v:
Journal of Parallel and Distributed Computing. 105:105-115
The High Performance Computing (HPC) community has spent decades developing tools that teach practitioners to harness the power of parallel and distributed computing. To create scalable and flexible educational experiences for practitioners in all ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb18f8ef84f61fc876f8cb8ce035e2ca
https://doi.org/10.1016/j.jpdc.2017.01.015
https://doi.org/10.1016/j.jpdc.2017.01.015