Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Kalyan Kumaran"'
Publikováno v:
Proceedings of the 14th International Workshop on Programming Models and Applications for Multicores and Manycores.
Autor:
Jose M Monsalve Diaz, Kevin Harms, Rafael A. Herrera Guaitero, Diego A. Roa Perdomo, Kalyan Kumaran, Guang R. Gao
Publikováno v:
Proceedings of the 1st International Workshop on Extreme Heterogeneity Solutions.
Autor:
Michael Papka, Kalyan Kumaran, David Martin, Haritha Som, Sreeranjani Ramprakash, Emily Shemon, Eric Pershey, Laura Wolf, Michael Zhang, Katherine Riley, Doug Waldron, Mark Fahey, Andrea Manning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c25ea6dc53d878e5b617c80ccae45a6b
https://doi.org/10.2172/1829982
https://doi.org/10.2172/1829982
Autor:
Brian Austin, Sudheer Chunduri, Nathan Wichmann, Nicholas J. Wright, Steven R. Warren, Taylor Groves, Peter Mendygral, Krishna Kandalla, Glenn K. Lockwood, Kalyan Kumaran, Scott Parker, Jacob Balma
Publikováno v:
SC
Network congestion is one of the biggest problems facing HPC systems today, affecting system throughput, performance, user experience, and reproducibility. Congestion manifests as run-to-run variability due to contention for shared resources (e.g., f
Autor:
Patricia Fasel, Hal Finkel, Joseph A. Insley, Salman Habib, Adrian Pope, Tom Peterka, Katrin Heitmann, Nicholas Frontiere, Kalyan Kumaran, Vitali Morozov, David Daniel, Venkatram Vishwanath, Zarija Lukić
Publikováno v:
Communications of the ACM. 60:97-104
Supercomputing is evolving toward hybrid and accelerator-based architectures with millions of cores. The Hardware/Hybrid Accelerated Cosmology Code (HACC) framework exploits this diverse landscape at the largest scales of problem size, obtaining high
Autor:
Ken-ichi Nomura, Kalyan Kumaran, Priya Vashishta, Aiichiro Nakano, Ying Li, Vitali Morozov, Nichols A. Romero, Joseph A. Insley, William A. Goddard, Rajiv K. Kalia
Reactive molecular dynamics (MD) simulation is a powerful research tool for describing chemical reactions. We eliminate the speed-limiting charge iteration in MD with a novel extended-Lagrangian scheme. The extended-Lagrangian reactive MD (XRMD) code
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd4e9713fbdbbb650177908ab0fd74f9
https://resolver.caltech.edu/CaltechAUTHORS:20180406-113403066
https://resolver.caltech.edu/CaltechAUTHORS:20180406-113403066
Publikováno v:
COMPSAC (2)
Trends in processor and system architecture, driven by power and complexity, point super-computing landscape toward very high and heterogeneous core count designs. As the number of cores inevitably increase traditional ways of performing large scale
Autor:
George Rojas, Elise Jennings, Vitali Morozov, Eric Pershey, Liza Booker, Kathy DiBennardi, Anouar Benali, Marta Garcia, Wei Jiang, Adam Scovel, Bill Allcock, Sreeranjani Ramprakash, Carissa Holohan, Yuri Alexeev, Ray Loy, Laura Wolf, Sudheer Chunduri, Nichols A. Romero, Janet Knowles, Zachary Nault, Lisa Childers, Richard Coffey, Christopher Knight, Derek Jensen, Michael E. Papka, Gabe West, Margaret Kaczmarski, Michael Zhang, Ben Lenard, Saumil Patel, Benjamin S. Allen, Venkatram Vishwanath, Beth Cerny, Timothy J. Williams, Álvaro Vázquez-Mayagoitia, Joseph A. Insley, Avanthi Mantrala, Preeti Malakar, Anping Liu, Graham D. Fletcher, Robert Scott, David E. Martin, Guillermo Mayorga, Joan Stover, Brian Toonen, Denise Nelson, Adrian Pope, Darin Wills, Ira Goldberg, Katherine Riley, Pragnesh Patel, Edouard Brooks, Renee Plzak, Cheetah Goletz, R. Douglas Waldron, James C. Osborn, Kalyan Kumaran, Silvio Rizzi, Hal Finkel, Paul Messina, Janet Jaseckas, Emily Shemon, Ramesh Balakrishnan, Jack O’Connell, Susan Gregurich, William Scullin, Mark R. Fahey, Scott Parker, Ti Leggett, Phil Carns, Ashley Boyle, Ginny Doyle, Ryan Milner, Tommie Jackson, Paul Coffman, Haritha Siddabathuni Som, Susan Coghlan, Kevin Harms, Jared Punzel, John ‘Skip’ Reddy, Andrew Cherry, Paul Rich, Tom Uram, James Collins, Mirek Suliba, Gordon McPheeters, Laural Briggs, Wanda Woods
Publikováno v:
Contemporary High Performance Computing ISBN: 9781351036863
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6defe81860f43fbd75d4dfa6efdac312
https://doi.org/10.1201/9781351036863-2
https://doi.org/10.1201/9781351036863-2
Autor:
Misbah Mubarak, Christopher D. Carothers, Malek Musleh, Neil McGlohon, Robert B. Ross, Ram Huggahalli, Scott Parker, Borch Eric R, Kalyan Kumaran, Sudheer Chunduri
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030206550
An emerging trend in High Performance Computing (HPC) systems that use hierarchical topologies (such as dragonfly) is that the applications are increasingly exhibiting high run-to-run performance variability. This poses a significant challenge for ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af6ceb15ed15b67ee4c3b283fc34d456
https://doi.org/10.1007/978-3-030-20656-7_1
https://doi.org/10.1007/978-3-030-20656-7_1
Publikováno v:
PMBS@SC
Performance modeling is an important and active area of research in high-performance computing (HPC). It helps in better job scheduling and also improves overall performance of coupled applications. Sufficiently rich analytical models are challenging