Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Chuck Atkins"'
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:
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:
David Pugmire, Caitlin Ross, Nicholas Thompson, James Kress, Chuck Atkins, Scott Klasky, Berk Geveci
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030905385
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::218331239c39639c32c4339b20648307
https://doi.org/10.1007/978-3-030-90539-2_34
https://doi.org/10.1007/978-3-030-90539-2_34
Autor:
Mark Kim, Seiji Tsutsumi, George Ostrouchov, James Kress, Keichi Takahashi, Lipeng Wan, Kesheng Wu, Norbert Podhorszki, Kshitij Mehta, Kai Germaschewski, Franz Poeschel, Scott Klasky, Ruonan Wang, Chuck Atkins, Jong Choi, Matthew Wolf, Qing Liu, David Pugmire, Jeremy Logan, William F. Godoy, Philip E. Davis, Manish Parashar, Junmin Gu, Nicholas Thompson, E. Suchyta, Kevin Huck, Greg Eisenhauer, Axel Huebl, Tahsin Kurc
Publikováno v:
SoftwareX, Vol 12, Iss, Pp 100561-(2020)
Author(s): Godoy, WF; Podhorszki, N; Wang, R; Atkins, C; Eisenhauer, G; Gu, J; Davis, P; Choi, J; Germaschewski, K; Huck, K; Huebl, A; Kim, M; Kress, J; Kurc, T; Liu, Q; Logan, J; Mehta, K; Ostrouchov, G; Parashar, M; Poeschel, F; Pugmire, D; Suchyta
Autor:
Greg Eisenhauer, William F. Godoy, Manish Parashar, Ruonan Wang, Arthur B. Maccabe, Jong Choi, E. Suchyta, Scott Klasky, Lipeng Wan, Kshitij Mehta, David Pugmire, James Kress, Tahsin Kurc, Mark Kim, George Ostrouchov, Matthew Wolf, Mark Ainsworth, Chuck Atkins, Norbert Podhorszki, Berk Geveci, Qing Liu, Jeremy Logan
Publikováno v:
ICDCS
One of the core issues across computer and computational science today is adapting to, managing, and learning from the influx of "Big Data". In the commercial space, this problem has led to a huge investment in new technologies and capabilities that
Publikováno v:
ISAV@SC
This paper presents a combination of state-of-the-practice for extraction-based in situ analysis, the treatment of in situ analysis as a form of I/O, and a proposal to the community regarding the handling of in situ and I/O libraries. Extraction in s
Autor:
Amit Srivastava, A. G. Amitha Perera, Linus Sherrill, Dong Liu, Kishore K. Reddy, Mita Desai, B.S. Manjunath, D. Rowley, Chia-Chih Chen, Anoop Kumar, Xiaoyang Wang, Bi Song, J. Liu, J. Luck, Chuck Atkins, Tsuhan Chen, D. Hanson, Roderic Collins, T. Rude, Amit K. Roy-Chowdhury, A. Jain, Daniel F. Keefe, Anthony Hoogs, Qiang Ji, Shih-Fu Chang, J. Kopaz, Rusty Blue, Arslan Basharat, Naresh P. Cuntoor, Keith Fieldhouse, Shiv Chandrasekaran, Eran Swears, C. Greco, Jelena Tesic, K. Chang, K. Sullivan, Zhaohui H. Sun, Larry S. Davis, Matthew Woehlke, B. Drew, Saurabh Khanwalkar, B. Boeckel, Mubarak Shah, Y. Yacoob, Jake K. Aggarwal
Publikováno v:
AVSS
We describe a system for content-based retrieval from large surveillance video archives, using behavior, action and appearance of objects. Objects are detected, tracked, and classified into broad categories. Their behavior and appearance are characte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52edc522723f7c3ad03e26edc580ec77
https://escholarship.org/uc/item/7hb7z44q
https://escholarship.org/uc/item/7hb7z44q
Autor:
Chuck Atkins, David Stoup, Anthony Hoogs, Matthew William Turek, Yiliang Xu, Arslan Basharat, Keith Fieldhouse, Paul Tunison
Publikováno v:
WACV
We present a real-time, full-frame, multi-target Wide Area Motion Imagery (WAMI) tracking system that utilizes distributed processing to handle high data rates while maintaining high track quality. The proposed architecture processes the WAMI data as