Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Brad Chamberlain"'
Autor:
Brad Chamberlain
Publikováno v:
2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ce56ba78d7cf7b288b5de124e682576
https://doi.org/10.1109/ipdpsw50202.2020.00108
https://doi.org/10.1109/ipdpsw50202.2020.00108
Publikováno v:
IPDPS Workshops
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db888c0c8c9aef67af125d25869d795a
https://doi.org/10.1109/ipdpsw.2018.00141
https://doi.org/10.1109/ipdpsw.2018.00141
Autor:
Brice Goglin, James C. Sexton, Thomas C. Schulthess, Adrian Tate, Peter Messmer, Emmanuel Jeannot, Hatem Ltaief, Maciej Besta, Amir Kamil, David Padua, Satoshi Matsuoka, Vitus J. Leung, Armin Groblinger, Anshu Dubey, Mark Abraham, Mauro Bianco, Torsten Hoefler, Romain Ciedat, Miquel Pericas, Naoya Maruyama, Leonidas Linardakis, Chris J. Newburn, Jesús Labarta, Kathryn M. O'Brien, John Shalf, Brad Chamberlain, Robert Ross, Gysi Tobias, Frank Hannig, Karl Fuerlinger, Paul H. J. Kelly, Didem Unat, Marie-Christine Sawley, Harold C. Edwards
Publikováno v:
[Research Report] PADAL Workshop 2014, April 28--29, Swiss National Supercomputing Center (CSCS), Lugano, Switzerland. 2014, pp.54
The goal of the workshop and this report is to identify common themes and standardize concepts for locality-preserving abstractions for exascale programming models. Current software tools are built on the premise that computing is the most expensive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64396d7cee8ddefc6212470e40e8e7c9
https://hal.inria.fr/hal-01083080
https://hal.inria.fr/hal-01083080
Autor:
Brad Chamberlain
Publikováno v:
IPDPS Workshops
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87824649b0293f1a319ea42ca02abaad
https://doi.org/10.1109/ipdpsw.2014.232
https://doi.org/10.1109/ipdpsw.2014.232
Publikováno v:
IPDPS Workshops
In the last few years, the growing significance of data-intensive computing has been closely tied to the emergence and popularity of new programming paradigms for this class of applications, including Map-Reduce, and new high-level languages for data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6156e627ab5385642604097182be9868
https://doi.org/10.1109/ipdps.2011.266
https://doi.org/10.1109/ipdps.2011.266