@article{8c1bee1e1b8b4e74900c1501674bff56,
title = "HPCG and HPGMG benchmark tests on multiple program, multiple data (MPMD) mode on Blue Waters—A Cray XE6/XK7 hybrid system",
abstract = "The high-performance conjugate gradients (HPCG) and high-performance geometric multi-grid (HPGMG) benchmarks are alternatives to the traditional LINPACK benchmark (HPL) in measuring the performance of modern HPC platforms. We performed HPCG and HPGMG benchmark tests on a Cray XE6/XK7 hybrid supercomputer, Blue Waters at National Center for Supercomputing Applications (NCSA). The benchmarks were tested on CPU-based and GPU-enabled nodes separately, and then we analyzed characteristic parameters that affect their performance. Based on our analyses, we performed HPCG and HPGMG runs in multiple program, multiple data (MPMD) mode in Cray Linux Environment in order to measure their hybrid performance on both CPU-based and GPU-enabled nodes. We observed and analyzed several performance issues during those tests. Based on lessons learned from this study, we provide recommendations about how to optimize science applications on modern hybrid HPC platforms.",
keywords = "GPU, HPC benchmark, MPMD mode, heterogeneous computing, hybrid HPC platforms",
author = "Kwack, {Jae Hyuk} and Bauer, {Gregory H.}",
note = "Funding Information: This study is part of the Blue Waters sustained‐petascale computing project, which is supported by the National Science Foundation (awards OCI‐ 0725070 and ACI‐1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana‐Champaign and its National Center for Supercomputing Applications. We thank Massimiliano Fatica and Mauron Bisson at NVIDIA for providing HPCG binaries used in this paper. We also thank Samuel Williams at LBNL, Nikolai Sakharnykh at NVIDIA and Vladimir Marjanovic at HLRS for sharing their valuable experience on HPGMG benchmarking with us. Funding Information: National Science Foundation, Grant/Award Number: ACI‐1238993 and OCI‐0725070 Funding Information: This study is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. We thank Massimiliano Fatica and Mauron Bisson at NVIDIA for providing HPCG binaries used in this paper. We also thank Samuel Williams at LBNL, Nikolai Sakharnykh at NVIDIA and Vladimir Marjanovic at HLRS for sharing their valuable experience on HPGMG benchmarking with us. Publisher Copyright: Copyright {\textcopyright} 2017 John Wiley & Sons, Ltd.",
year = "2018",
month = jan,
day = "10",
doi = "10.1002/cpe.4298",
language = "English (US)",
volume = "30",
journal = "Concurrency and Computation: Practice and Experience",
issn = "1532-0626",
publisher = "John Wiley & Sons, Ltd.",
number = "1",
}