{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T09:42:08Z","timestamp":1770457328536,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":50,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,3,9]],"date-time":"2020-03-09T00:00:00Z","timestamp":1583712000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100012659","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61572508, 61672526, 61802427"],"award-info":[{"award-number":["61572508, 61672526, 61802427"]}],"id":[{"id":"10.13039\/501100012659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100011199","name":"European Research Council","doi-asserted-by":"publisher","award":["741097"],"award-info":[{"award-number":["741097"]}],"id":[{"id":"10.13039\/100011199","id-type":"DOI","asserted-by":"publisher"}]},{"name":"FWO","award":["G.0434.16N, G.0144.17N"],"award-info":[{"award-number":["G.0434.16N, G.0144.17N"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,3,9]]},"DOI":"10.1145\/3373376.3378457","type":"proceedings-article","created":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T22:37:01Z","timestamp":1584139021000},"page":"1371-1385","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":33,"title":["HSM"],"prefix":"10.1145","author":[{"given":"Xia","family":"Zhao","sequence":"first","affiliation":[{"name":"Ghent University, Ghent, Belgium"}]},{"given":"Magnus","family":"Jahre","sequence":"additional","affiliation":[{"name":"Norwegian University of Science and Technology, Trondheim, Norway"}]},{"given":"Lieven","family":"Eeckhout","sequence":"additional","affiliation":[{"name":"Ghent University, Ghent, Belgium"}]}],"member":"320","published-online":{"date-parts":[[2020,3,13]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Amazon \u201cAmazon web services. \u201d https:\/\/aws.amazon.com\/cn\/ec2\/.  Amazon \u201cAmazon web services. \u201d https:\/\/aws.amazon.com\/cn\/ec2\/."},{"key":"e_1_3_2_1_2_1","unstructured":"Google \u201cGraphics Processing Unit (GPU) | Google Cloud. \u201d https:\/\/cloud.google.com\/gpu\/.  Google \u201cGraphics Processing Unit (GPU) | Google Cloud. \u201d https:\/\/cloud.google.com\/gpu\/."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2012.6168946"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCD.2014.6974717"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2694344.2694346"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2014.6853208"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2006.25"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1006209.1006246"},{"key":"e_1_3_2_1_9_1","first-page":"164","volume-title":"Proceedings of the International Symposium on Performance Analysis of Systems and Software (ISPASS)","author":"Luo K.","year":"2001","unstructured":"K. Luo , J. Gummaraju , and M. Franklin , \u201c Balancing Thoughput and Fairness in SMT Processors ,\u201d in Proceedings of the International Symposium on Performance Analysis of Systems and Software (ISPASS) , pp. 164 -- 171 , November 2001 . K. Luo, J. Gummaraju, and M. Franklin, \u201cBalancing Thoughput and Fairness in SMT Processors,\u201d in Proceedings of the International Symposium on Performance Analysis of Systems and Software (ISPASS), pp. 164--171, November 2001."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2018.00034"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2400682.2400688"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2013.6522356"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2830772.2830803"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPP.2016.14"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/LCA.2018.2851207"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2019.00074"},{"key":"e_1_3_2_1_17_1","volume-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"Han S.","year":"2015","unstructured":"S. Han , H. Mao , and W. J. Dally , \u201c Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding ,\u201d arXiv preprint arXiv:1510.00149, 2015 . S. Han, H. Mao, and W. J. Dally, \u201cDeep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding,\u201d arXiv preprint arXiv:1510.00149, 2015."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2018.00024"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/339647.339668"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/357401.357403"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2017.58"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123939.3124545"},{"key":"e_1_3_2_1_23_1","volume-title":"High Bandwidth Memory (HBM) DRAM","author":"JEDEC","year":"2015","unstructured":"JEDEC , High Bandwidth Memory (HBM) DRAM . 2015 . JEDEC, High Bandwidth Memory (HBM) DRAM . 2015."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2008.44"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2006.49"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3205289.3205311"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/LCA.2015.2414456"},{"key":"e_1_3_2_1_28_1","volume-title":"Hynix GDDR5 SGRAM Part H5GQ1H24AFR Revision 1.0","year":"2009","unstructured":"\u201c Hynix GDDR5 SGRAM Part H5GQ1H24AFR Revision 1.0 . \u201d http:\/\/www.hynix.com\/datasheet\/pdf\/graphics\/H5GQ1H24AFR(Rev1. 0).pdf, 2009 . Hynix . \u201cHynix GDDR5 SGRAM Part H5GQ1H24AFR Revision 1.0. \u201d http:\/\/www.hynix.com\/datasheet\/pdf\/graphics\/H5GQ1H24AFR(Rev1. 0).pdf, 2009. Hynix."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/1454115.1454152"},{"key":"e_1_3_2_1_30_1","volume-title":"Parboil: A Revised Benchmark Suite for Scientific and Commercial Throughput Computing","author":"Stratton J. A.","year":"2012","unstructured":"J. A. Stratton , C. Rodrigues , I.-J. Sung , N. Obeid , L.-W. Chang , N. Anssari , G. D. Liu , and W.-m. W. Hwu , \u201c Parboil: A Revised Benchmark Suite for Scientific and Commercial Throughput Computing ,\u201d tech. rep., March 2012 . J. A. Stratton, C. Rodrigues, I.-J. Sung, N. Obeid, L.-W. Chang, N. Anssari, G. D. Liu, and W.-m. W. Hwu, \u201cParboil: A Revised Benchmark Suite for Scientific and Commercial Throughput Computing,\u201d tech. rep., March 2012."},{"key":"e_1_3_2_1_31_1","unstructured":"\u201cNVIDIA CUDA SDK Code Samples. \u201d https:\/\/developer.nvidia.com\/cuda-downloads.  \u201cNVIDIA CUDA SDK Code Samples. \u201d https:\/\/developer.nvidia.com\/cuda-downloads."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/IISWC.2009.5306797"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/InPar.2012.6339595"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISPASS.2009.4919648"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2007.21"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2818950.2818979"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/1736020.1736058"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/1531743.1531747"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2018.00030"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/PACT.2009.33"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/2576779.2576780"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASPDAC.2014.6742976"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080203"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/SC.2014.16"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/PACT.2015.38"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/L-CA.2011.32"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/2896377.2901468"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/LCA.2015.2435709"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/2155620.2155664"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/1394608.1382128"}],"event":{"name":"ASPLOS '20: Architectural Support for Programming Languages and Operating Systems","location":"Lausanne Switzerland","acronym":"ASPLOS '20","sponsor":["SIGPLAN ACM Special Interest Group on Programming Languages","SIGOPS ACM Special Interest Group on Operating Systems","SIGARCH ACM Special Interest Group on Computer Architecture","SIGBED ACM Special Interest Group on Embedded Systems"]},"container-title":["Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3373376.3378457","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3373376.3378457","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:32:59Z","timestamp":1750199579000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3373376.3378457"}},"subtitle":["A Hybrid Slowdown Model for Multitasking GPUs"],"short-title":[],"issued":{"date-parts":[[2020,3,9]]},"references-count":50,"alternative-id":["10.1145\/3373376.3378457","10.1145\/3373376"],"URL":"https:\/\/doi.org\/10.1145\/3373376.3378457","relation":{},"subject":[],"published":{"date-parts":[[2020,3,9]]},"assertion":[{"value":"2020-03-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}