{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T02:15:22Z","timestamp":1775873722936,"version":"3.50.1"},"reference-count":14,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2009,6,5]],"date-time":"2009-06-05T00:00:00Z","timestamp":1244160000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The International Journal of High Performance Computing Applications"],"published-print":{"date-parts":[[2009,8]]},"abstract":"<jats:p> Future high performance systems must use energy efficiently to achieve petaFLOPS computational speeds and beyond. To address this challenge, we must first understand the power and energy characteristics of high performance computing applications. In this paper, we use a power-performance profiling framework called Power-Pack to study the power and energy profiles of the HPC Challenge benchmarks. We present detailed experimental results along with in-depth analysis of how each benchmark's workload characteristics affect power consumption and energy efficiency. This paper summarizes various findings using the HPC Challenge benchmarks, including but not limited to: 1) identifying application power profiles by function and component in a high performance cluster; 2) correlating applications' memory access patterns to power consumption for these benchmarks; and 3) exploring how energy consumption scales with system size and workload. <\/jats:p>","DOI":"10.1177\/1094342009106193","type":"journal-article","created":{"date-parts":[[2009,6,6]],"date-time":"2009-06-06T00:32:25Z","timestamp":1244248345000},"page":"265-276","source":"Crossref","is-referenced-by-count":29,"title":["Energy Profiling and Analysis of the HPC Challenge Benchmarks"],"prefix":"10.1177","volume":"23","author":[{"family":"Shuaiwen Song","sequence":"first","affiliation":[{"name":"SCAPE LABORATORY, VIRGINIA POLYTECHNIC INSTITUTE AND\rSTATE UNIVERSITY, BLACKSBURG, VA 24060, USA,"}]},{"family":"Rong Ge","sequence":"additional","affiliation":[{"name":"MARQUETTE UNIVERSITY, MILWAULKEE, WI 53233, USA,"}]},{"family":"Xizhou Feng","sequence":"additional","affiliation":[{"name":"VIRGINIA BIOINFORMATICS INSTITUTE, VIRGINIA POLYTECHNIC\rINSTITUTE AND STATE UNIVERSITY, BLACKSBURG, VA 24060, USA,"}]},{"given":"Kirk W.","family":"Cameron","sequence":"additional","affiliation":[{"name":"SCAPE LABORATORY, VIRGINIA POLYTECHNIC INSTITUTE AND\rSTATE UNIVERSITY, BLACKSBURG, VA 24060, USA,"}]}],"member":"179","published-online":{"date-parts":[[2009,6,5]]},"reference":[{"key":"atypb1","series-title":"Energy 2002 Workshop and Exposition","volume-title":"Accelerated Strategic Computing Initiative (ASCI): Driving the need for the Terascale Simulation Facility (TSF)","author":"Bailey, A.M.","year":"2002"},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2005.380"},{"key":"atypb3","doi-asserted-by":"publisher","DOI":"10.1109\/L-CA.2007.18"},{"key":"atypb4","unstructured":"Dongarra, J. 1990. The LINPACK Benchmark: an explanation. Evaluating Supercomputers: Strategies for Exploiting, Evaluating and Benchmarking Computers with Advanced Architectures, Chapman & Hall, Ltd., London, pp. 1-21."},{"key":"atypb5","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2007.445"},{"key":"atypb6","volume-title":"19th IEEE International Parallel and Distributed Processing Symposium","author":"Feng, X."},{"key":"atypb7","volume-title":"Parallel and Distributed Processing Symposium","author":"Ge, R."},{"key":"atypb8","volume-title":"PowerExecutive","author":"IBM","year":"2007"},{"key":"atypb9","first-page":"5","author":"Lbnl","year":"2003","journal-title":"Data Center Facility"},{"key":"atypb10","volume-title":"Introduction to the HPC Challenge Benchmark Suite","author":"Luszczek, P.","year":"2005"},{"key":"atypb11","volume-title":"High-Performance","author":"Shoaib, K."},{"key":"atypb12","volume-title":"The SPEC Power Benchmark","author":"Spec","year":"2008"},{"key":"atypb13","volume-title":"SC08 Conference","author":"University of Tennessee"},{"key":"atypb14","doi-asserted-by":"crossref","unstructured":"Yang Ding, Malkowski, K., Raghavan, P. and Kandemir, M. 2008. Towards energy efficient scaling of scientific codes. Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium, April 2008 pp1-8.","DOI":"10.1109\/IPDPS.2008.4536217"}],"container-title":["The International Journal of High Performance Computing Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1094342009106193","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1094342009106193","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T19:24:29Z","timestamp":1740857069000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/1094342009106193"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,6,5]]},"references-count":14,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2009,8]]}},"alternative-id":["10.1177\/1094342009106193"],"URL":"https:\/\/doi.org\/10.1177\/1094342009106193","relation":{},"ISSN":["1094-3420","1741-2846"],"issn-type":[{"value":"1094-3420","type":"print"},{"value":"1741-2846","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,6,5]]}}}