High-performance conjugate-gradient benchmark: A new metric for ranking high-performance computing systems

Dongarra, Jack; Heroux, Michael A.; Luszczek, Piotr

doi:10.1177/1094342015593158

Title: High-performance conjugate-gradient benchmark: A new metric for ranking high-performance computing systems

Journal Article · Mon Aug 17 00:00:00 EDT 2015 · International Journal of High Performance Computing Applications

DOI:https://doi.org/10.1177/1094342015593158· OSTI ID:1361299

Dongarra, Jack ^[1]; Heroux, Michael A. ^[2]; Luszczek, Piotr ^[3]

Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering and Computer Science; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computer Science and Mathematics Division
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Scalable Algorithm Dept.
Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering and Computer Science

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE Office of Science (SC); USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC05-00OR22725; AC04-94AL85000

OSTI ID:: 1361299

Alternate ID(s):: OSTI ID: 1429716

Report Number(s):: SAND2017-13547J

Journal Information:: International Journal of High Performance Computing Applications, Vol. 30, Issue 1; ISSN 1094-3420

Publisher:: SAGECopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 82 works

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References (18)

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PREPARING FOR EXASCALE: ORNL Leadership Computing Application Requirements and Strategy Joubert, Wayne; Kothe, Douglas B.; Nam, Hai Ah https://doi.org/10.2172/974637	report	December 2009
Efficient sparse matrix-vector multiplication on x86-based many-core processors Liu, Xing; Smelyanskiy, Mikhail; Chow, Edmond Proceedings of the 27th international ACM conference on International conference on supercomputing - ICS '13 https://doi.org/10.1145/2464996.2465013	conference	January 2013
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OSKI: A library of automatically tuned sparse matrix kernels Vuduc, Richard; Demmel, James W.; Yelick, Katherine A. Journal of Physics: Conference Series, Vol. 16 https://doi.org/10.1088/1742-6596/16/1/071	journal	January 2005
Optimizing a Conjugate Gradient Solver with Non-Blocking Collective Operations Hoefler, Torsten; Gottschling, Peter; Rehm, Wolfgang Recent Advances in Parallel Virtual Machine and Message Passing Interface https://doi.org/10.1007/11846802_52	book	January 2006
Partial Differential Equations Oberwolfach, Mathematisches Forschungsinstitut Mathematisches Forschungsinstitut Oberwolfach https://doi.org/10.14760/owr-2015-36	text	January 2015
Reducing communication costs in the conjugate gradient algorithm on distributed memory multiprocessors D'Azevedo, E. F.; Romine, C. H. https://doi.org/10.2172/7172467	report	September 1992
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Analyzing the Effect of Local Rounding Error Propagation on the Maximal Attainable Accuracy of the Pipelined Conjugate Gradient Method Cools, Siegfried; Yetkin, Emrullah Fatih; Agullo, Emmanuel SIAM Journal on Matrix Analysis and Applications, Vol. 39, Issue 1 https://doi.org/10.1137/17m1117872	journal	January 2018
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