{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T21:55:40Z","timestamp":1773438940920,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2010,8,2]],"date-time":"2010-08-02T00:00:00Z","timestamp":1280707200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000105","name":"Office of Cyberinfrastructure","doi-asserted-by":"publisher","award":["OCI-0725070 for Blue Waters"],"award-info":[{"award-number":["OCI-0725070 for Blue Waters"]}],"id":[{"id":"10.13039\/100000105","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2010,8,2]]},"DOI":"10.1145\/1838574.1838586","type":"proceedings-article","created":{"date-parts":[[2010,8,2]],"date-time":"2010-08-02T13:15:36Z","timestamp":1280754936000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":19,"title":["Optimizing a parallel runtime system for multicore clusters"],"prefix":"10.1145","author":[{"given":"Chao","family":"Mei","sequence":"first","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gengbin","family":"Zheng","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Filippo","family":"Gioachin","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laxmikant V.","family":"Kal\u00e9","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2010,8,2]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/99.660313"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/1239928.1239936"},{"key":"e_1_3_2_1_3_1","first-page":"1","volume-title":"Upc performance and potential: a npb experimental study,\" in Proceedings of the 2002 ACM\/IEEE conference on Supercomputing","author":"El-Ghazawi T.","year":"2002","unstructured":"T. El-Ghazawi and F. Cantonnet , \" Upc performance and potential: a npb experimental study,\" in Proceedings of the 2002 ACM\/IEEE conference on Supercomputing . Los Alamitos, CA, USA : IEEE Computer Society Press , 2002 , pp. 1 -- 26 . T. El-Ghazawi and F. Cantonnet, \"Upc performance and potential: a npb experimental study,\" in Proceedings of the 2002 ACM\/IEEE conference on Supercomputing. Los Alamitos, CA, USA: IEEE Computer Society Press, 2002, pp. 1--26."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-03770-2_24"},{"key":"e_1_3_2_1_5_1","first-page":"265","article-title":"Charm++ and AMPI: Adaptive Runtime Strategies via Migratable Objects,\" in Advanced Computational Infrastructures for Parallel and Distributed Applications, M. Parashar","author":"Kale L. V.","year":"2009","unstructured":"L. V. Kale and G. Zheng , \" Charm++ and AMPI: Adaptive Runtime Strategies via Migratable Objects,\" in Advanced Computational Infrastructures for Parallel and Distributed Applications, M. Parashar , Ed. Wiley-Interscience , 2009 , pp. 265 -- 282 . L. V. Kale and G. Zheng, \"Charm++ and AMPI: Adaptive Runtime Strategies via Migratable Objects,\" in Advanced Computational Infrastructures for Parallel and Distributed Applications, M. Parashar, Ed. Wiley-Interscience, 2009, pp. 265--282.","journal-title":"Ed. Wiley-Interscience"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/165854.165874"},{"key":"e_1_3_2_1_7_1","volume-title":"Overcoming scaling challenges in biomolecular simulations across multiple platforms,\" in Proceedings of IEEE International Parallel and Distributed Processing Symposium","author":"Bhatele A.","year":"2008","unstructured":"A. Bhatele , S. Kumar , C. Mei , J. C. Phillips , G. Zheng , and L. V. Kale , \" Overcoming scaling challenges in biomolecular simulations across multiple platforms,\" in Proceedings of IEEE International Parallel and Distributed Processing Symposium 2008 , April 2008. A. Bhatele, S. Kumar, C. Mei, J. C. Phillips, G. Zheng, and L. V. Kale, \"Overcoming scaling challenges in biomolecular simulations across multiple platforms,\" in Proceedings of IEEE International Parallel and Distributed Processing Symposium 2008, April 2008."},{"key":"e_1_3_2_1_8_1","first-page":"2008","article-title":"Massively parallel cosmological simulations with ChaNGa","author":"Jetley P.","year":"2008","unstructured":"P. Jetley , F. Gioachin , C. Mendes , L. V. Kale , and T. R. Quinn , \" Massively parallel cosmological simulations with ChaNGa ,\" in Proceedings of IEEE International Parallel and Distributed Processing Symposium 2008 , 2008 . P. Jetley, F. Gioachin, C. Mendes, L. V. Kale, and T. R. Quinn, \"Massively parallel cosmological simulations with ChaNGa,\" in Proceedings of IEEE International Parallel and Distributed Processing Symposium 2008, 2008.","journal-title":"Proceedings of IEEE International Parallel and Distributed Processing Symposium"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/1375990.1376005"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPPW.2006.58"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1006\/jpdc.1996.0107"},{"key":"e_1_3_2_1_12_1","volume-title":"A lock-free multiprocessor os kernel","author":"Massalin H.","year":"1991","unstructured":"H. Massalin and C. Pu , \" A lock-free multiprocessor os kernel ,\" 1991 . H. Massalin and C. Pu, \"A lock-free multiprocessor os kernel,\" 1991."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/248052.248106"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1362622.1362694"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2009.06.014"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCGRID.2007.119"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCGRID.2006.31"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPP.2008.16"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1177\/1094342009359014"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2009.04.002"}],"event":{"name":"TG '10: TeraGrid 2010","location":"Pittsburgh Pennsylvania","acronym":"TG '10","sponsor":["Carnegie Mellon University Carnegie Mellon University","SIGAPP ACM Special Interest Group on Applied Computing"]},"container-title":["Proceedings of the 2010 TeraGrid Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1838574.1838586","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1838574.1838586","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T12:41:11Z","timestamp":1750250471000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1838574.1838586"}},"subtitle":["a case study"],"short-title":[],"issued":{"date-parts":[[2010,8,2]]},"references-count":20,"alternative-id":["10.1145\/1838574.1838586","10.1145\/1838574"],"URL":"https:\/\/doi.org\/10.1145\/1838574.1838586","relation":{},"subject":[],"published":{"date-parts":[[2010,8,2]]},"assertion":[{"value":"2010-08-02","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}