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John A. Gunnels, Ph.D.

Affiliations: 
2001 University of Texas at Austin, Austin, Texas, U.S.A. 
Area:
Computer Science
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Robert v. de Geijn grad student 2001 UT Austin
 (A systematic approach to the design and analysis of linear algebra algorithms.)

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Publications

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Chung I, Sainath TN, Ramabhadran B, et al. (2017) Parallel Deep Neural Network Training for Big Data on Blue Gene/Q Ieee Transactions On Parallel and Distributed Systems. 28: 1703-1714
Draeger EW, Andrade X, Gunnels JA, et al. (2017) Massively parallel first-principles simulation of electron dynamics in materials Journal of Parallel and Distributed Computing. 106: 205-214
Van Zee FG, Smith TM, Marker B, et al. (2016) The BLIS framework: Experiments in portability Acm Transactions On Mathematical Software. 42
Nair R, Antao SF, Bertolli C, et al. (2015) Active memory cube: A processing-in-memory architecture for exascale systems Ibm Journal of Research and Development. 59
Buono D, Gunnels JA, Que X, et al. (2015) Optimizing sparse linear algebra for large-scale graph analytics Computer. 48: 26-34
Que X, Checconi F, Petrini F, et al. (2015) Scalable Community Detection with the Louvain Algorithm Proceedings - 2015 Ieee 29th International Parallel and Distributed Processing Symposium, Ipdps 2015. 28-37
Chung IH, Sainath TN, Ramabhadran B, et al. (2014) Parallel Deep Neural Network Training for Big Data on Blue Gene/Q International Conference For High Performance Computing, Networking, Storage and Analysis, Sc. 2015: 745-753
Ghoting AN, Gunnels JA, Kambadur P, et al. (2013) Trends and outlook for the massive-scale analytics stack Ibm Journal of Research and Development. 57: 2:1-2:11
Carnes B, Chan B, Draeger EW, et al. (2013) Science at LLNL with IBM Blue Gene/Q Ibm Journal of Research and Development. 57: 11:1-11:18
Bientinesi P, Gunnels JA, Myers ME, et al. (2013) Deriving dense linear algebra libraries Formal Aspects of Computing. 25: 933-945
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