Zobrazeno 1 - 10
of 11
pro vyhledávání: '"William Bergeron"'
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
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:
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
Autor:
Michael Jones, Michael Houle, Jeremy Kepner, William Bergeron, Antonio Rosa, Peter Michaleas, William Arcand, Siddharth Samsi, Vijay Gadepally, Julie Mullen, Matthew Hubbell, Charles Yee, Chansup Byun, Albert Reuther, David Bestor, Anne Klein, Lauren Milechin, Andrew Prout
Publikováno v:
HPEC
The Intel Xeon Phi manycore processor is designed to provide high performance matrix computations of the type often performed in data analysis. Common data analysis environments include Matlab, GNU Octave, Julia, Python, and R. Achieving optimal perf
Autor:
Charles Yee, Anne Klein, Peter Michaleas, Julie Mullen, Lauren Milechin, Matthew Hubbell, Albert Reuther, David Bestor, Michael Jones, Michael Houle, Vijay Gadepally, Jeremy Kepner, Chansup Byun, William Arcand, Antonio Rosa, Andrew Prout, William Bergeron, Siddharth Samsi
Publikováno v:
HPEC
The Dynamic Distributed Dimensional Data Model (D4M) library implements associative arrays in a variety of languages (Python, Julia, and Matlab/Octave) and provides a lightweight in-memory database implementation of hypersparse arrays that are ideal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5906839c68632eb0e5fea27886c594c1
Autor:
William Bergeron-Mirsky, John Gulliford, Aditi Patel, Jason Lim, Mark Pauly, Lars Hesselgren, Johannes Peter Wallner, Cristiano Ceccato, Helmut Pottmann
Publikováno v:
Advances in Architectural Geometry 2010
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::064b8757fd5a294732f79d9d8bba6469
https://doi.org/10.1515/9783990433713-010
https://doi.org/10.1515/9783990433713-010
Autor:
Andrew McCabe, Matthew Hubbell, Charles Yee, Peter Michaleas, William Arcand, Jonathan Kurz, Kenneth Gregson, Albert Reuther, Antonio Rosa, Gary R. Condon, William Bergeron, Jeremy Kepner, Chansup Byun, Nadya T. Bliss, Andrew Prout, Robert A. Bond
Publikováno v:
ICASSP
A crucial element of large web companies is their ability to collect and analyze massive amounts of data. Tuple store databases are a key enabling technology employed by many of these companies (e.g., Google Big Table and Amazon Dynamo). Tuple stores
Publikováno v:
Advances in Architectural Geometry 2010 ISBN: 9783709103081
AAG
AAG
While much ink has been spilled over the benefits of intelligent models, information flow in the design process and the authoring of data sets there has been, in our opinion, little impact on the day-to-day practice of most architects. This paper dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0e107d41ec981a3e3e07ff7abbcfd12
https://doi.org/10.1007/978-3-7091-0309-8_9
https://doi.org/10.1007/978-3-7091-0309-8_9