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In high-performance computing, what is Rmax?

In high-performance computing, Rmax is a score used to rank supercomputers, measuring their performance using the LINPACK benchmark. Values are usually represented in gigaflops, teraflops, or petaflops.

According to TOP500.org (as of June 2012), Sequoia, an IBM Blue Gene/Q system operated by the Lawrence Livermore National Laboratory (LLNL), achieved the highest Rmax score in the US (16.32 petaflops).

Highest Rmax scores among digital services on the Extreme Science and Engineering Discovery Environment (XSEDE) were (as of June 2012):

XSEDE system Rmax (in teraflops)
Kraken (NICS) 919.1
Ranger (TACC) 433.2
Gordon (SDSC) 285.8
Lonestar (TACC) 251.8
Keeneland (Georgia Tech) 106.3

For more about XSEDE compute, advanced visualization, storage, and special purpose systems, see the Resources Overview, Systems Monitor, and User Guides. For scheduled maintenance windows, outages, and other announcements related to XSEDE digital services, see User News.

This document was developed with support from National Science Foundation (NSF) grant OCI-1053575. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF.

This document is based upon work supported in part by National Science Foundation (NSF) grant 0910812 to Indiana University for "FutureGrid: An Experimental, High-Performance Grid Test-bed." FutureGrid project partners include the University of California - San Diego and the San Diego Supercomputer Center (SDSC), the University of Chicago/Argonne National Labs, the University of Florida, Purdue University, the University of Southern California, the University of Texas - Austin, and the Center for Information Services and High Performance Computing at Technische Universität Dresden.

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Last modified on January 03, 2013.

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