Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Jeremy Logan"'
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:
Hilda Klasky, Kevin Sparks, Alina Peluso, Matthew Whitehead, Jeremy Logan, Alec Hamaker, Michael McGee, Heidi Hanson, Rochelle Watson, Anuj Kapadia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4ebabbad4a0ff6579b4704c6c893c97
https://doi.org/10.2172/1971721
https://doi.org/10.2172/1971721
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
Autor:
Sean R. Wilkinson, Greg Eisenhauer, Anuj J. Kapadia, Kathryn Knight, Jeremy Logan, Patrick Widener, Matthew Wolf
The FAIR principles for scientific data (Findable, Accessible, Interoperable, Reusable) are also relevant to other digital objects such as research software and scientific workflows that operate on scientific data. The FAIR principles can be applied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b691d4bda31ea1abedd72919bfbe8141
Autor:
David Pugmire, Norbert Podhorszki, Scott Klasky, Matthew Wolf, James Kress, Mark Kim, Nicholas Thompson, Jeremy Logan, Ruonan Wang, Kshitij Mehta, Eric Suchyta, William Godoy, Jong Choi, George Ostrouchov, Lipeng Wan, Jieyang Chen, Berk Geveci Chuck Atkins, Caitlin Ross, Greg Eisenhauer, Junmin Gu, John Wu, Axel Huebl, Seiji Tsutsumi
Publikováno v:
Mathematics and Visualization ISBN: 9783030816261
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8735444e01821ab55e0997adc50eb3a
https://doi.org/10.1007/978-3-030-81627-8_11
https://doi.org/10.1007/978-3-030-81627-8_11
Autor:
Jeremy Logan, Greeshma Agasthya, Heidi Hanson, Matthew Wolf, Heechan Lee, Shaheen Dewji, Hong-Jun Yoon, Anuj Kapadia
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Autor:
Loring, Burlen, Wolf, Matthew D., Kress, James M., Shudler, Sergei, Gu, Junmin, Rizzi, Silvio, Jeremy Logan, Bethel, Wes, Ferrier, Nicola
Publikováno v:
DOE / OSTI
In an in transit setting, a parallel data producer, such as a numerical simulation, runs on one set of ranks M, while a data consumer, such as a parallel visualization application, runs on a different set of ranks N: One of the central challenges in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2a6f193f64662e30c5079a9e3f8cd9a
https://escholarship.org/uc/item/9cn390hq
https://escholarship.org/uc/item/9cn390hq
Autor:
Kshitij Mehta, Ashley Clif, Jeremy Logan, Daniel Jacobson, Matthew Wolf, Greg Eisenhauer, Patrick Widener, Mikaela Cashman, Angelica M. Walker
Publikováno v:
CLUSTER
DOE / OSTI
DOE / OSTI
The FAIR principles of open science (Findable, Accessible, Interoperable, and Reusable) have had transformative effects on modern large-scale computational science. In particular, they have encouraged more open access to and use of data, an important