Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Piyush Mehrotra"'
Autor:
Jenkins, Jon M., Ciotti, Robert B., Michaelis, Andrew R., Tenenbaum, Peter G., Brosnan, Ian G., Piyush Mehrotra
NASA’s High-End Computing Capability (HECC) facility in NASA’s Advanced Supercomputing (NAS) division provides considerable resources and services to current and future Science Mission Directorate missions and projects. As part of the support for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2ae39df5aa138e5073a28b6ae261426
Autor:
Robert Hood, Rupak Biswas, David Ellsworth, William Thigpen, Michelle Moyer, Jeff Becker, Christopher Bryan Tanner, Piyush Mehrotra, Davin S. Chan
Publikováno v:
Contemporary High Performance Computing ISBN: 9781351036863
NASA has increasingly relied on high-performance computing (HPC) re- sources for computational modeling, simulation, and data analysis to meet the science and engineering goals of its missions in space exploration, aeronautics, and Earth and space sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::998a2d96b7ea0ac46d74640a7bcea5e9
https://doi.org/10.1201/9781351036863-13
https://doi.org/10.1201/9781351036863-13
Autor:
William Thigpen, Bryan A. Biegel, Piyush Mehrotra, John Parks, Chris Henze, Rupak Biswas, Robert Ciotti, Robert Hood
Publikováno v:
Contemporary High Performance Computing ISBN: 9781351104005
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b07c4e2fa516756b89881d18c943950
https://doi.org/10.1201/9781351104005-12
https://doi.org/10.1201/9781351104005-12
Autor:
Subhash Saini, Steve Heistand, Rupak Biswas, Arthur Lazanoff, Piyush Mehrotra, Robert Hood, Haoqiang Jin, Jahed Djomehri
Publikováno v:
Concurrency and Computation: Practice and Experience. 28:1041-1055
Cloud computing environments are now widely available and are being increasingly utilized for technical computing. They are also being touted for high-performance computing HPC applications in science and engineering. For example, Amazon Elastic Comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::674dc1ba99a345fef993bab6c332649a
https://doi.org/10.1002/cpe.3029
https://doi.org/10.1002/cpe.3029
Publikováno v:
Parallel Computing. 37:562-575
The rapidly increasing number of cores in modern microprocessors is pushing the current high performance computing (HPC) systems into the petascale and exascale era. The hybrid nature of these systems - distributed memory across nodes and shared memo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2785fddd7bc3a310deaa81875255f579
https://doi.org/10.1016/j.parco.2011.02.002
https://doi.org/10.1016/j.parco.2011.02.002
Autor:
Liping Di, Aijun Chen, Wenli Yang, Yang Liu, Yaxing Wei, Piyush Mehrotra, Chaumin Hu, Dean Williams
Publikováno v:
Concurrency and Computation: Practice and Experience. 20:1617-1635
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4a1469eed95a160df598beaf0e188d0
https://doi.org/10.1002/cpe.1292
https://doi.org/10.1002/cpe.1292
Publikováno v:
ACM SIGOPS Operating Systems Review. 35:21-30
Distributed heterogeneous systems are being increasingly used to execute a variety of large size simulation and computational problems. Resource management is one of the most important issues in building such systems. Recently, Sun introduced the Jin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd652b31236e0c5dbc9bfb60e81e4d6b
https://doi.org/10.1145/377069.377076
https://doi.org/10.1145/377069.377076
Autor:
Hans P. Zima, Piyush Mehrotra
Publikováno v:
Parallel Computing. 27:477-501
This paper focuses on the use of High Performance Fortran (HPF) for important classes of algorithms employed in aerospace applications. HPF is a set of Fortran extensions designed to provide users with a high-level interface for programming data para
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d749ab9c286dc710fc8b40f0df0e7251
https://doi.org/10.1016/s0167-8191(00)00073-9
https://doi.org/10.1016/s0167-8191(00)00073-9
Publikováno v:
Concurrency: Practice and Experience. 12:227-249
Opus is a new programming language designed to assist in coordinating the execution of multiple, independent program modules. With the help of Opus, coarse grained tush parallelism between data parallel modules can be expressed in a clean and structu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1900264fba664b15d323ee82a4744837
https://doi.org/10.1002/(sici)1096-9128(20000410)12:4<227::aid-cpe474>3.0.co
https://doi.org/10.1002/(sici)1096-9128(20000410)12:4<227::aid-cpe474>3.0.co
Publikováno v:
Parallel Processing Letters. :275-289
The coordination language Opus is an object-based extension of High Performance Fortran (HPF) that supports the integration of coarse-grain task parallelism with HPF-style data parallelism. In this paper we discuss Opus in the Context of multidiscipl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a71ad8100ae2bfde030131ae81ec1a0
https://doi.org/10.1142/s0129626499000256
https://doi.org/10.1142/s0129626499000256