Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Kevin Huck"'
Autor:
William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip Davis, Jong Choi, Kai Germaschewski, Kevin Huck, Axel Huebl, Mark Kim, James Kress, Tahsin Kurc, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky
Publikováno v:
SoftwareX, Vol 12, Iss , Pp 100561- (2020)
We present ADIOS 2, the latest version of the Adaptable Input Output (I/O) System. ADIOS 2 addresses scientific data management needs ranging from scalable I/O in supercomputers, to data analysis in personal computer and cloud systems. Version 2 intr
Externí odkaz:
https://doaj.org/article/1b10ffd8ae92432b9967bc2e0905e38d
Autor:
Eric Suchyta, Jong Youl Choi, Seung-Hoe Ku, David Pugmire, Ana Gainaru, Kevin Huck, Ralph Kube, Aaron Scheinberg, Frederic Suter, Choongseock Chang, Todd Munson, Norbert Podhorszki, Scott Klasky
Publikováno v:
2022 IEEE International Conference on Cluster Computing (CLUSTER).
Autor:
Todd Munson, Ian Foster, Shinjae Yoo, Hubertus J. J. van Dam, Igor Yakushin, Zichao Di, Line Pouchard, Manish Parashar, Kerstin Kleese van Dam, Ali Murat Gok, Kevin Huck, Xin Liang, Ozan Tugluk, Lipeng Wan, Justin M. Wozniak, Wei Xu, Kshitij Mehta, Jong Choi, Matthew Wolf, Mark Ainsworth, Julie Bessac, Franck Cappello, Sheng Di, Tom Peterka, Hanqi Guo, Scott Klasky, Christopher Kelly, Tong Shu
Publikováno v:
The International Journal of High Performance Computing Applications. 35:617-635
A growing disparity between supercomputer computation speeds and I/O rates means that it is rapidly becoming infeasible to analyze supercomputer application output only after that output has been written to a file system. Instead, data-generating app
Autor:
Shuangxi Zhang, Berk Geveci, Matthew Wolf, Kevin Huck, E. Suchyta, Cameron W. Smith, Ruonan Wang, Stephane Ethier, Philip E. Davis, Manish Parashar, Pradeep Subedi, Gabriele Merlo, Abolaji Adesoji, Norbert Podhorszki, Qing Liu, Todd Munson, Shirley Moore, Mark S. Shephard, C.S. Chang, Jeremy Logan, Jong Choi, Lipeng Wan, Kai Germaschewski, David Pugmire, Ian Foster, Scott Klasky, Kshitij Mehta, Chris Harris, Julien Dominski
Publikováno v:
The International Journal of High Performance Computing Applications. 36:106-128
We present the Exascale Framework for High Fidelity coupled Simulations (EFFIS), a workflow and code coupling framework developed as part of the Whole Device Modeling Application (WDMApp) in the Exascale Computing Project. EFFIS consists of a library
Publikováno v:
2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC).
Autor:
Dominic Marcello, Geoffrey C. Clayton, Kevin Huck, Patrick Diehl, Hartmut Kaiser, Dirk Pfluger, Sagiv Shiber, Juhan Frank, Gregor Daiß
Publikováno v:
CLUSTER
Octo-Tiger is a code for modeling three-dimensional self-gravitating astrophysical fluids. It was particularly designed for the study of dynamical mass transfer between interacting binary stars. Octo-Tiger is parallelized for distributed systems usin
Autor:
Keichi Takahashi, Igor Yakushin, Kevin Huck, Swati Singhal, Bryce Allen, Jeremy Logan, Todd Munson, Kshitij Mehta, Alan Sussman, E. Suchyta, Jong Youl Choi, Matthew Wolf, Ian Foster, Scott Klasky
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
Publikováno v:
PASC
Scientific applications that run on leadership computing facilities often face the challenge of being unable to fit leading science cases onto accelerator devices due to memory constraints (memory-bound applications). In this work, the authors studie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05411017e0e124d07ef31e45a5adb849
http://arxiv.org/abs/2105.00027
http://arxiv.org/abs/2105.00027
Autor:
David Eder, Juhan Frank, Geoffrey C. Clayton, Dirk Pflüger, Hartmut Kaiser, Sagiv Shiber, Kevin Huck, Patrick Diehl, Dominic Marcello, Parsa Amini, Alice Koniges, Gregor Daiß
Analyzing performance within asynchronous many-task-based runtime systems is challenging because millions of tasks are launched concurrently. Especially for long-term runs, the amount of data collected becomes overwhelming. We study HPX and its perfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0201607c280ef0cdfc1963fddc3cd985
http://arxiv.org/abs/2102.00223
http://arxiv.org/abs/2102.00223
Autor:
David Beckingsale, Chad Wood, Kevin Huck, Todd Gamblin, David Poliakoff, Alfredo Gimenez, Giorgis Georgakoudis, Allen D. Malony
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030787127
Portable parallel programming models provide the potential for high performance and productivity, however they come with a multitude of runtime parameters that can have significant impact on execution performance. Selecting the optimal set of those p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efe48d90c1d3b866b63db8479a6050a9
https://doi.org/10.1007/978-3-030-78713-4_24
https://doi.org/10.1007/978-3-030-78713-4_24