Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Preeti Malakar"'
Publikováno v:
2022 IEEE 29th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW).
Autor:
Abir Mukherjee, Preeti Malakar
Publikováno v:
2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC).
Autor:
Tushar Agrawal, Preeti Malakar
Publikováno v:
2022 IEEE/ACM International Workshop on Exascale MPI (ExaMPI).
Autor:
Mohit Kumar, Preeti Malakar
Publikováno v:
2022 IEEE/ACM International Workshop on Hierarchical Parallelism for Exascale Computing (HiPar).
Publikováno v:
Mathematics and Visualization ISBN: 9783030816261
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50803a6aab1def393fb0f6381ebf8500
https://doi.org/10.1007/978-3-030-81627-8_9
https://doi.org/10.1007/978-3-030-81627-8_9
Publikováno v:
2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).
Autor:
Ashish Pal, Preeti Malakar
Publikováno v:
CLUSTER
High performance computing systems are used for compute-intensive jobs by multiple users. The users submit jobs to batch queues where the jobs are queued for an unknown amount of time until the required resources are available. A large amount of data
Autor:
Preeti Malakar, Shobhit Jagga
Publikováno v:
HPDC
We present a lightweight library that automatically collects several hardware counters for MPI applications. We analyze the effect of strong and weak scaling on the counters. We first correlate the counter values obtained from each process count, and
Autor:
Aaron Knoll, Paul A. Navrátil, Steve Petruzza, Venkatram Vishwanath, Michel Rasquin, Silvio Rizzi, Jeremy S. Meredith, Thomas Fogal, Jay Lofstead, Bernd Hentschel, David Rogers, James Kress, Han-Wei Shen, Franz Sauer, Cyrus Harrison, Tom Peterka, David Pugmire, Sudhanshu Sane, Charles Hansen, Kenneth Moreland, Berk Geveci, Matthew Wolf, Kwan-Liu Ma, Janine C. Bennett, Rhonda Vickery, William F. Godoy, Sean B. Ziegeler, Ingo Wald, Eric Brugger, Christoph Garth, Steffen Frey, Joseph A. Insley, Jean M. Favre, Andrew Bauer, Soumya Dutta, Gunther H. Weber, Sean Ahern, Matthieu Dorier, Ruonan Wang, John Patchett, E. Wes Bethel, Chris R. Johnson, Valerio Pascucci, Patrick O'Leary, Preeti Malakar, Norbert Podhorszki, Hongfeng Yu, Brad Whitlock, Matthew Larsen, James Ahrens, Robert Sisneros, Joseph A. Cottam, Scott Klasky, Manish Parashar, Hank Childs, Peer-Timo Bremer, Will Usher
Publikováno v:
The International Journal of High Performance Computing Applications, vol 34, iss 6
International Journal of High Performance Computing Applications, vol 34, iss 6
International Journal of High Performance Computing Applications, vol 34, iss 6
The term “in situ processing” has evolved over the last decade to mean both a specific strategy for visualizing and analyzing data and an umbrella term for a processing paradigm. The resulting confusion makes it difficult for visualization and an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::070afd116d2dcb779f32cf9347bf71ee
https://escholarship.org/uc/item/20q1s49z
https://escholarship.org/uc/item/20q1s49z
Autor:
Ashish Pal, Preeti Malakar
Publikováno v:
CLUSTER
High-performance computing systems are used for compute-intensive jobs by multiple users. They submit jobs to batch queues where the jobs are queued for an unknown amount of time until the required resources are available. A large amount of data is c