{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T14:23:01Z","timestamp":1772115781092,"version":"3.50.1"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NASA Astrophysics Theory","award":["#NNX15AP39G"],"award-info":[{"award-number":["#NNX15AP39G"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Parallel Distrib. Syst."],"published-print":{"date-parts":[[2021,1,1]]},"DOI":"10.1109\/tpds.2020.3010016","type":"journal-article","created":{"date-parts":[[2020,7,17]],"date-time":"2020-07-17T20:11:01Z","timestamp":1595016661000},"page":"85-97","source":"Crossref","is-referenced-by-count":35,"title":["K-Athena: A Performance Portable Structured Grid Finite Volume Magnetohydrodynamics Code"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3555-9886","authenticated-orcid":false,"given":"Philipp","family":"Grete","sequence":"first","affiliation":[{"name":"Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2786-0348","authenticated-orcid":false,"given":"Forrest W.","family":"Glines","sequence":"additional","affiliation":[{"name":"Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6837-8195","authenticated-orcid":false,"given":"Brian W.","family":"O'Shea","sequence":"additional","affiliation":[{"name":"Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CLUSTER.2015.110"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/HPCS.2017.150"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-17248-4_7"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2017.04.002"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3847\/1538-4365\/aac49e"},{"key":"ref34","article-title":"Dissecting the NVidia turing T4 GPU via microbenchmarking","author":"jia","year":"0"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1504\/IJCSE.2018.095847"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3318170.3318192"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/408130"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/P3HPC49587.2019.00009"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.5640"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/99.660313"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MCSE.2010.69"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2014.07.003"},{"key":"ref18","article-title":"ASC Tri-lab co-design level 2Milestone report 2015","author":"hornung","year":"2015"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1089014.1089021"},{"key":"ref28","article-title":"NVIDIA tesla V100 GPU architecture","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3847\/0067-0049\/225\/2\/22"},{"key":"ref27","article-title":"NVIDIA tesla P100","year":"2016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/SC.2012.71"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1201\/b21930"},{"key":"ref29","article-title":"Dissecting the NVIDIA Volta GPU architecture via microbenchmarking","author":"jia","year":"0"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3847\/1538-4365\/ab929b"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.2172\/993908"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.2172\/1432926"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/165854.165874"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.4117"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2014.115"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3093338.3093388"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.newast.2008.06.003"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1086\/588755"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.08.007"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1498765.1498785"},{"key":"ref26","article-title":"NVIDIA's next generation CUDA compute architecture: Kepler GK110\/210","year":"2014"},{"key":"ref25","article-title":"Intel 64 and IA-32 architectures optimization reference manual","year":"2016"}],"container-title":["IEEE Transactions on Parallel and Distributed Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/71\/9152195\/09143480.pdf?arnumber=9143480","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:28Z","timestamp":1652194228000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9143480\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,1]]},"references-count":35,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tpds.2020.3010016","relation":{},"ISSN":["1045-9219","1558-2183","2161-9883"],"issn-type":[{"value":"1045-9219","type":"print"},{"value":"1558-2183","type":"electronic"},{"value":"2161-9883","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,1]]}}}