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Keeneland: Bringing Heterogeneous GPU Computing to the Computational Science Community

Published: 01 September 2011 Publication History

Abstract

The Keeneland project's goal is to develop and deploy an innovative, GPU-based high-performance computing system for the NSF computational science community.

Cited By

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  • (2020)Accelerating Scientific Computing in the Post-Moore’s EraACM Transactions on Parallel Computing10.1145/33809407:1(1-31)Online publication date: 29-Mar-2020
  • (2019)Wrangling RoguesPractice and Experience in Advanced Research Computing 2019: Rise of the Machines (learning)10.1145/3332186.3332223(1-8)Online publication date: 28-Jul-2019
  • (2019)Artificial Intelligence Platform for Mobile Service ComputingJournal of Signal Processing Systems10.1007/s11265-019-1438-391:10(1179-1189)Online publication date: 1-Oct-2019
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Information & Contributors

Information

Published In

cover image Computing in Science and Engineering
Computing in Science and Engineering  Volume 13, Issue 5
September 2011
93 pages

Publisher

IEEE Educational Activities Department

United States

Publication History

Published: 01 September 2011

Author Tags

  1. GPU
  2. Graphics processor
  3. High-performance computing
  4. computational science
  5. emerging architectures
  6. heterogeneous processors

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Cited By

View all
  • (2020)Accelerating Scientific Computing in the Post-Moore’s EraACM Transactions on Parallel Computing10.1145/33809407:1(1-31)Online publication date: 29-Mar-2020
  • (2019)Wrangling RoguesPractice and Experience in Advanced Research Computing 2019: Rise of the Machines (learning)10.1145/3332186.3332223(1-8)Online publication date: 28-Jul-2019
  • (2019)Artificial Intelligence Platform for Mobile Service ComputingJournal of Signal Processing Systems10.1007/s11265-019-1438-391:10(1179-1189)Online publication date: 1-Oct-2019
  • (2018)Accelerating GPU betweenness centralityCommunications of the ACM10.1145/323048561:8(85-92)Online publication date: 23-Jul-2018
  • (2017)Algorithm and hardware implementation for visual perception system in autonomous vehicleIntegration, the VLSI Journal10.1016/j.vlsi.2017.07.00759:C(148-156)Online publication date: 1-Sep-2017
  • (2015)Automated design space exploration with AspenScientific Programming10.1155/2015/1573052015(7-7)Online publication date: 1-Jan-2015
  • (2015)COMPASSProceedings of the 29th ACM on International Conference on Supercomputing10.1145/2751205.2751220(405-414)Online publication date: 8-Jun-2015
  • (2015)Automated Characterization of Parallel Application Communication PatternsProceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing10.1145/2749246.2749278(73-84)Online publication date: 15-Jun-2015
  • (2015)Efficient GPU Spatial-Temporal MultitaskingIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2014.231334226:3(748-760)Online publication date: 1-Mar-2015
  • (2015)HYDRARevised Selected Papers of the 28th International Workshop on Languages and Compilers for Parallel Computing - Volume 951910.1007/978-3-319-29778-1_9(140-155)Online publication date: 9-Sep-2015
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