Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Arifa Nisar"'
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 23:271-279
Massively parallel applications often require periodic data checkpointing for program restart and post-run data analysis. Although high performance computing systems provide massive parallelism and computing power to fulfill the crucial requirements
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63886080c0763cba44a255620212e8a6
https://doi.org/10.1109/tpds.2011.166
https://doi.org/10.1109/tpds.2011.166
Publikováno v:
Proceedings of the 4th Annual Workshop on Petascale Data Storage.
MPI-IO is emerging as the standard mechanism for file I/O within HPC applications. While pNFS demonstrates high-performance I/O for bulk data transfers, its performance and scalability with MPI-IO is unproven. To attain success, the consistency seman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b3d5d3f7cd2957970a739047d3cf55c
https://doi.org/10.1145/1713072.1713082
https://doi.org/10.1145/1713072.1713082
Publikováno v:
ICPP
There are two popular parallel I/O programming styles used by modern scientific computational applications: unique-file and shared-file. Unique-file I/O usually gives satisfactory performance, but its major drawback is that managing a large number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffd1c2fad38dd8cc8d66681eca828ccf
https://doi.org/10.1109/icpp.2009.68
https://doi.org/10.1109/icpp.2009.68
Publikováno v:
Proceedings of the 2009 SIAM International Conference on Data Mining.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29f7e78eb6c8c2fbf5c04621d6238dd4
https://doi.org/10.1137/1.9781611972795.90
https://doi.org/10.1137/1.9781611972795.90
Publikováno v:
2008 SC - International Conference for High Performance Computing, Networking, Storage and Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2321cb50b3bb68ccf33a6efa61554ed
https://doi.org/10.1109/sc.2008.5214358
https://doi.org/10.1109/sc.2008.5214358
Publikováno v:
Wiley Encyclopedia of Computer Science and Engineering ISBN: 047005011X
Wiley Encyclopedia of Computer Science and Engineering
Wiley Encyclopedia of Computer Science and Engineering
A distributed file system, also known as a network file system, is a means for to access data transparently across a network. A user should not have to know whether a file actually resides locally or on a remote server. In the typical distributed fil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ac5bb585ae1df7aeffb8341354c10b1
https://doi.org/10.1002/9780470050118.ecse119
https://doi.org/10.1002/9780470050118.ecse119
Using MPI file caching to improve parallel write performance for large-scale scientific applications
Autor:
Arifa Nisar, Wei-keng Liao, Alok Choudhary, Scott Klasky, Jacqueline H. Chen, Avery Ching, Ramanan Sankaran, Kenin Coloma
Publikováno v:
SC
Typical large-scale scientific applications periodically write checkpoint files to save the computational state throughout execution. Existing parallel file systems improve such write-only I/O patterns through the use of client-side file caching and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c284ff3b481aead2b454c6e0af13c54d
https://doi.org/10.1145/1362622.1362634
https://doi.org/10.1145/1362622.1362634
Autor:
Wei-keng Liao, Robert Ross, Arifa Nisar, Alok Choudhary, Kui Gao, Rajeev Thakur, Robert Latham
Publikováno v:
Journal of Physics: Conference Series. 180:012048
High-performance computing systems have already approached peta-scale with hundreds of thousands of processors/cores in many deployments. These systems promise a new level of predictive and knowledge discovery ability as researchers gain the capabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a59490378c05eb6de83888162f04d9c3
https://doi.org/10.1088/1742-6596/180/1/012048
https://doi.org/10.1088/1742-6596/180/1/012048