%0 Journal Article %J International Journal of High Performance Computing Applications %D 2016 %T High Performance Conjugate Gradient Benchmark: A new Metric for Ranking High Performance Computing Systems %A Jack Dongarra %A Michael A. Heroux %A Piotr Luszczek %B International Journal of High Performance Computing Applications %V 30 %P 3 - 10 %8 2016-02 %G eng %U http://hpc.sagepub.com/cgi/doi/10.1177/1094342015593158 %N 1 %! International Journal of High Performance Computing Applications %R 10.1177/1094342015593158 %0 Journal Article %J National Science Review %D 2016 %T A New Metric for Ranking High-Performance Computing Systems %A Jack Dongarra %A Michael A. Heroux %A Piotr Luszczek %B National Science Review %V 3 %P 30-35 %8 2016-01 %G eng %N 1 %R https://doi.org/10.1093/nsr/nwv084 %0 Journal Article %J The International Journal of High Performance Computing Applications %D 2015 %T High-Performance Conjugate-Gradient Benchmark: A New Metric for Ranking High-Performance Computing Systems %A Jack Dongarra %A Michael A. Heroux %A Piotr Luszczek %K Additive Schwarz %K HPC Benchmarking %K Multigrid smoothing %K Preconditioned Conjugate Gradient %K Validation and Verification %X We describe a new high-performance conjugate-gradient (HPCG) benchmark. HPCG is composed of computations and data-access patterns commonly found in scientific applications. HPCG strives for a better correlation to existing codes from the computational science domain and to be representative of their performance. HPCG is meant to help drive the computer system design and implementation in directions that will better impact future performance improvement. %B The International Journal of High Performance Computing Applications %G eng %R 10.1177/1094342015593158 %0 Generic %D 2015 %T HPCG Benchmark: a New Metric for Ranking High Performance Computing Systems %A Jack Dongarra %A Michael A. Heroux %A Piotr Luszczek %K Additive Schwarz %K HPC Benchmarking %K Multigrid smoothing %K Preconditioned Conjugate Gradient %K Validation and Verification %X We describe a new high performance conjugate gradient (HPCG) benchmark. HPCG is composed of computations and data access patterns commonly found in scientific applications. HPCG strives for a better correlation to existing codes from the computational science domain and be representative of their performance. HPCG is meant to help drive the computer system design and implementation in directions that will better impact future performance improvement. %B University of Tennessee Computer Science Technical Report %I University of Tennessee %8 2015-01 %G eng %U http://www.eecs.utk.edu/resources/library/file/1047/ut-eecs-15-736.pdf %0 Conference Paper %B The International Conference for High Performance Computing, Networking, Storage and Analysis (SC 14) %D 2014 %T Domain Decomposition Preconditioners for Communication-Avoiding Krylov Methods on a Hybrid CPU/GPU Cluster %A Ichitaro Yamazaki %A Sivasankaran Rajamanickam %A Eric G. Boman %A Mark Hoemmen %A Michael A. Heroux %A Stanimire Tomov %B The International Conference for High Performance Computing, Networking, Storage and Analysis (SC 14) %I IEEE %C New Orleans, LA %8 2014-11 %G eng %0 Generic %D 2013 %T Toward a New Metric for Ranking High Performance Computing Systems %A Michael A. Heroux %A Jack Dongarra %X The High Performance Linpack (HPL), or Top 500, benchmark is the most widely recognized and discussed metric for ranking high performance computing systems. However, HPL is increasingly unreliable as a true measure of system performance for a growing collection of important science and engineering applications. In this paper we describe a new high performance conjugate gradient (HPCG) benchmark. HPCG is composed of computations and data access patterns more commonly found in applications. Using HPCG we strive for a better correlation to real scientific application performance and expect to drive computer system design and implementation in directions that will better impact performance improvement. %B SAND2013 - 4744 %8 2013-06 %G eng %U http://www.netlib.org/utk/people/JackDongarra/PAPERS/HPCG-Benchmark-utk.pdf