Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Susan Coghlan"'
Autor:
Katie Antypas, Michael A. Heroux, Andrew R. Siegel, Susan Coghlan, Lois Curfman McInnes, Erik W. Draeger
Publikováno v:
Nature Computational Science. 1:92-94
Emerging exascale architectures and systems will provide a sizable increase in raw computing power for science. To ensure the full potential of these new and diverse architectures, as well as the longevity and sustainability of science applications,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5cee3622dd191cd88c8b0d77f2ec139
https://doi.org/10.1038/s43588-021-00033-y
https://doi.org/10.1038/s43588-021-00033-y
Autor:
George Rojas, Elise Jennings, Vitali Morozov, Eric Pershey, Liza Booker, Kathy DiBennardi, Anouar Benali, Marta Garcia, Wei Jiang, Adam Scovel, Bill Allcock, Sreeranjani Ramprakash, Carissa Holohan, Yuri Alexeev, Ray Loy, Laura Wolf, Sudheer Chunduri, Nichols A. Romero, Janet Knowles, Zachary Nault, Lisa Childers, Richard Coffey, Christopher Knight, Derek Jensen, Michael E. Papka, Gabe West, Margaret Kaczmarski, Michael Zhang, Ben Lenard, Saumil Patel, Benjamin S. Allen, Venkatram Vishwanath, Beth Cerny, Timothy J. Williams, Álvaro Vázquez-Mayagoitia, Joseph A. Insley, Avanthi Mantrala, Preeti Malakar, Anping Liu, Graham D. Fletcher, Robert Scott, David E. Martin, Guillermo Mayorga, Joan Stover, Brian Toonen, Denise Nelson, Adrian Pope, Darin Wills, Ira Goldberg, Katherine Riley, Pragnesh Patel, Edouard Brooks, Renee Plzak, Cheetah Goletz, R. Douglas Waldron, James C. Osborn, Kalyan Kumaran, Silvio Rizzi, Hal Finkel, Paul Messina, Janet Jaseckas, Emily Shemon, Ramesh Balakrishnan, Jack O’Connell, Susan Gregurich, William Scullin, Mark R. Fahey, Scott Parker, Ti Leggett, Phil Carns, Ashley Boyle, Ginny Doyle, Ryan Milner, Tommie Jackson, Paul Coffman, Haritha Siddabathuni Som, Susan Coghlan, Kevin Harms, Jared Punzel, John ‘Skip’ Reddy, Andrew Cherry, Paul Rich, Tom Uram, James Collins, Mirek Suliba, Gordon McPheeters, Laural Briggs, Wanda Woods
Publikováno v:
Contemporary High Performance Computing ISBN: 9781351036863
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6defe81860f43fbd75d4dfa6efdac312
https://doi.org/10.1201/9781351036863-2
https://doi.org/10.1201/9781351036863-2
Autor:
Michael E. Papka, Sean Wallace, Zhou Zhou, Zhiling Lan, Susan Coghlan, John R. Tramm, Venkatram Vishwanath
Publikováno v:
Parallel Computing. 57:73-86
We describe our power profiling library called MonEQ, built on the IBM provided API.We integrate MonEQ into several benchmarks to show the data it produces.Applications have different power profiles based on usage of domains in node.There is no diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a66d8fb403fcb61387762d9ed7c26968
https://doi.org/10.1016/j.parco.2016.05.015
https://doi.org/10.1016/j.parco.2016.05.015
Autor:
Iwona Sakrejda, Nicholas J. Wright, Susan Coghlan, Devarshi Ghoshal, Shane Canon, Lavanya Ramakrishnan, Adam Scovel, Krishna Muriki, Anping Liu
Publikováno v:
Contemporary High Performance Computing ISBN: 9781351104005
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12156494bb1b9cf6c7391c2e7ff1df12
https://doi.org/10.1201/9781351104005-22
https://doi.org/10.1201/9781351104005-22
Autor:
Sean Wallace, Xu Yang, Venkatram Vishwanath, William E. Allcock, Susan Coghlan, Michael E. Papka, Zhiling Lan
Publikováno v:
SC16: International Conference for High Performance Computing, Networking, Storage and Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::634122ae9cc4d985cb240423270014bb
https://doi.org/10.1109/sc.2016.55
https://doi.org/10.1109/sc.2016.55
Publikováno v:
Journal of Parallel and Distributed Computing. 70:630-643
Despite years of study on failure prediction, it remains an open problem, especially in large-scale systems composed of vast amount of components. In this paper, we present a dynamic meta-learning framework for failure prediction. It intends to not o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed38fb93274976ad06308f6d76b3b728
https://doi.org/10.1016/j.jpdc.2010.03.003
https://doi.org/10.1016/j.jpdc.2010.03.003
Publikováno v:
Cluster Computing. 11:3-16
We investigate operating system noise, which we identify as one of the main reasons for a lack of synchronicity in parallel applications. Using a microbenchmark, we measure the noise on several contemporary platforms and find that, even with a genera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::594c58ec6f42a4ac313dea4b6bdc93d1
https://doi.org/10.1007/s10586-007-0047-2
https://doi.org/10.1007/s10586-007-0047-2
Publikováno v:
CLUSTER
The high performance computing landscape is filled with diverse hardware components. A large part of understanding how these components compare to others is by looking at the various environmental aspects of these devices such as power consumption, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d91285774b4981726e943c8830028422
https://doi.org/10.1109/cluster.2015.120
https://doi.org/10.1109/cluster.2015.120
Publikováno v:
ACM SIGOPS Operating Systems Review. 40:29-33
Petascale supercomputers will be available by 2008. The largest machine of these complex leadership-class machines will probably have nearly 250K CPUs. These massively parallel systems have a number of challenging operating system issues. In this pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d469b58fc4f1ebd0403b2f967a4b9d12
https://doi.org/10.1145/1131322.1131332
https://doi.org/10.1145/1131322.1131332
Autor:
Carissa Holohan, Ben Allen, Gordon McPheeters, Mark R Fahey, Paul Rich, Susan Coghlan, Kevin Harms, Ti Leggett
Publikováno v:
Concurrency and Computation: Practice and Experience. 30:e4336
Summary In order to provide a stepping stone from the Argonne Leadership Computing Facility's (ALCF) world class production 10 petaFLOP IBM BlueGene/Q system, Mira, to its next generation 200 petaFLOPS 3rd generation Intel Xeon Phi system, Aurora, AL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::336d8f74bc6a240a1cabd083d2c416b3
https://doi.org/10.1002/cpe.4336
https://doi.org/10.1002/cpe.4336