{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:47:03Z","timestamp":1775231223657,"version":"3.50.1"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100006227","name":"U.S. Department of Energy by Lawrence Livermore National Laboratory","doi-asserted-by":"publisher","award":["DE-AC52-07NA27344"],"award-info":[{"award-number":["DE-AC52-07NA27344"]}],"id":[{"id":"10.13039\/100006227","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006227","name":"U.S. Department of Energy by Lawrence Livermore National Laboratory","doi-asserted-by":"publisher","award":["LLNL-LDRD 18-ERD-006"],"award-info":[{"award-number":["LLNL-LDRD 18-ERD-006"]}],"id":[{"id":"10.13039\/100006227","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["NSF-SPX-2202859"],"award-info":[{"award-number":["NSF-SPX-2202859"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["NSF-CAREER-2205677"],"award-info":[{"award-number":["NSF-CAREER-2205677"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["NSF-OAC-2212256"],"award-info":[{"award-number":["NSF-OAC-2212256"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported","award":["DE-AC02-06CH11357"],"award-info":[{"award-number":["DE-AC02-06CH11357"]}]},{"name":"Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported","award":["LLNL-CONF-798297"],"award-info":[{"award-number":["LLNL-CONF-798297"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3196008","type":"journal-article","created":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T19:31:17Z","timestamp":1659555077000},"page":"82614-82625","source":"Crossref","is-referenced-by-count":5,"title":["XUnified: A Framework for Guiding Optimal Use of GPU Unified Memory"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6763-7098","authenticated-orcid":false,"given":"Hailu","family":"Xu","sequence":"first","affiliation":[{"name":"Department of Computer Engineering and Computer Science, California State University, Long Beach, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pei-Hung","family":"Lin","sequence":"additional","affiliation":[{"name":"Lawrence Livermore National Laboratory, Livermore, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6279-0007","authenticated-orcid":false,"given":"Murali","family":"Emani","sequence":"additional","affiliation":[{"name":"Argonne National Laboratory, Lemont, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liting","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of California at Santa Cruz, Santa Cruz, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunhua","family":"Liao","sequence":"additional","affiliation":[{"name":"Lawrence Livermore National Laboratory, Livermore, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"ROSE Compiler","year":"2022"},{"key":"ref2","volume-title":"Top500 List","year":"2021"},{"key":"ref3","volume-title":"Unified Memory for CUDA Beginners","year":"2017"},{"key":"ref4","volume-title":"Gpu Pro Tip: Fast Dynamic Indexing of Private Arrays in CUDA","year":"2015"},{"key":"ref5","volume-title":"CUDA Runtime Api: 5.9. Memory Management","year":"2021"},{"key":"ref6","volume-title":"CUDA Toolkit 6.0","year":"2021"},{"key":"ref7","first-page":"265","article-title":"TensorFlow: A system for large-scale machine learning","volume-title":"Proc. 12th USENIX Symp. Operating Syst. Design Implement. (OSDI)","author":"Abadi"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/HiPC.2018.00024"},{"issue":"1","key":"ref9","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IISWC.2009.5306797"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2016.2604372"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2014.20"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MCHPC49590.2019.00014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.14778\/3384345.3384358"},{"key":"ref15","article-title":"ALTIS: Modernizing GPGPU benchmarking","author":"Hu","year":"2019","journal-title":"arXiv:1906.10347"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CLUSTER.2017.42"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2010.107"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3332466.3374531"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/HPEC.2014.7040988"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/WACCPD.2014.7"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3295500.3356141"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-98521-3_5"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid.2015.105"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3148173.3148184"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.2307\/j.ctvcm4g18.8"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/HPEC.2019.8916547"},{"key":"ref27","first-page":"725","article-title":"Bagging, boosting, and C4. 5","volume-title":"Proc. AAAI\/IAAI","volume":"1","author":"Quinlan"},{"key":"ref28","article-title":"Everything you need to know about unified memory","author":"Sakharnykh","year":"2018"},{"key":"ref29","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"Witten","year":"2011"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPSW.2017.85"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MCHPC49590.2019.00016"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1806596.1806606"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6287639\/9668973\/9848789-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09848789.pdf?arnumber=9848789","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T10:57:53Z","timestamp":1706785073000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9848789\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3196008","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}