{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:40:09Z","timestamp":1750192809810,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":11,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T00:00:00Z","timestamp":1625443200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"DOE Office of Science User Facility","award":["DE-AC05-00OR22725"],"award-info":[{"award-number":["DE-AC05-00OR22725"]}]},{"name":"U.S. Department of Energy","award":["4000159855"],"award-info":[{"award-number":["4000159855"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,7,5]]},"DOI":"10.1145\/3468267.3470618","type":"proceedings-article","created":{"date-parts":[[2021,8,26]],"date-time":"2021-08-26T16:07:54Z","timestamp":1629994074000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Memory reduction using a ring abstraction over GPU RDMA for distributed quantum Monte Carlo solver"],"prefix":"10.1145","author":[{"given":"Weile","family":"Wei","sequence":"first","affiliation":[{"name":"Louisiana State University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eduardo","family":"D'Azevedo","sequence":"additional","affiliation":[{"name":"Oak Ridge National Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kevin","family":"Huck","sequence":"additional","affiliation":[{"name":"University of Oregon"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arghya","family":"Chatterjee","sequence":"additional","affiliation":[{"name":"NERSC"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oscar","family":"Hernandez","sequence":"additional","affiliation":[{"name":"Oak Ridge National Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hartmut","family":"Kaiser","sequence":"additional","affiliation":[{"name":"Louisiana State University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,8,26]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/PACT.2019.00041"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevB.61.12739"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevB.58.R7475"},{"key":"e_1_3_2_1_4_1","volume-title":"An autonomic performance environment for exascale. Supercomputing frontiers and innovations 2, 3","author":"Huck Kevin A","year":"2015","unstructured":"Kevin A Huck , Allan Porterfield , Nick Chaimov , Hartmut Kaiser , Allen D Malony , Thomas Sterling , and Rob Fowler . 2015. An autonomic performance environment for exascale. Supercomputing frontiers and innovations 2, 3 ( 2015 ), 49--66. Kevin A Huck, Allan Porterfield, Nick Chaimov, Hartmut Kaiser, Allen D Malony, Thomas Sterling, and Rob Fowler. 2015. An autonomic performance environment for exascale. Supercomputing frontiers and innovations 2, 3 (2015), 49--66."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.21105\/joss.02352"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1103\/RevModPhys.77.1027"},{"key":"e_1_3_2_1_7_1","unstructured":"NVIDIA. 2020. CUDA Profiling Tools Interface. https:\/\/docs.nvidia.com\/cuda\/cupti\/index.html.  NVIDIA. 2020. CUDA Profiling Tools Interface. https:\/\/docs.nvidia.com\/cuda\/cupti\/index.html."},{"key":"e_1_3_2_1_8_1","unstructured":"NVIDIA. 2020. NVIDIA Management Library (NVML). https:\/\/developer.nvidia.com\/nvidia-management-library-nvml.  NVIDIA. 2020. NVIDIA Management Library (NVML). https:\/\/developer.nvidia.com\/nvidia-management-library-nvml."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/552013"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ScalA51936.2020.00015"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3318170.3318191"}],"event":{"name":"PASC '21: Platform for Advanced Scientific Computing Conference","sponsor":["SIGHPC ACM Special Interest Group on High Performance Computing, Special Interest Group on High Performance Computing","CSCS Swiss National Supercomputing Centre"],"location":"Geneva Switzerland","acronym":"PASC '21"},"container-title":["Proceedings of the Platform for Advanced Scientific Computing Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3468267.3470618","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3468267.3470618","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3468267.3470618","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:17:18Z","timestamp":1750191438000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3468267.3470618"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,5]]},"references-count":11,"alternative-id":["10.1145\/3468267.3470618","10.1145\/3468267"],"URL":"https:\/\/doi.org\/10.1145\/3468267.3470618","relation":{},"subject":[],"published":{"date-parts":[[2021,7,5]]},"assertion":[{"value":"2021-08-26","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}