{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T17:02:16Z","timestamp":1790960536292,"version":"4.1.0"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T00:00:00Z","timestamp":1695600000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T00:00:00Z","timestamp":1695600000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation (NSF)","doi-asserted-by":"publisher","award":["OAC-2209563"],"award-info":[{"award-number":["OAC-2209563"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,25]]},"DOI":"10.1109\/hpec58863.2023.10363605","type":"proceedings-article","created":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T14:39:57Z","timestamp":1703515197000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["G-MAP: A Graph Neural Network-Based Framework for Memory Access Prediction"],"prefix":"10.1109","author":[{"given":"Abhiram Rao","family":"Gorle","sequence":"first","affiliation":[{"name":"Indian Institute of Technology Madras,Chennai,India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pengmiao","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Southern California,Los Angeles,California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rajgopal","family":"Kannan","sequence":"additional","affiliation":[{"name":"DEVCOM Army Research Lab,Los Angeles,California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Viktor K.","family":"Prasanna","sequence":"additional","affiliation":[{"name":"University of Southern California,Los Angeles,California"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/216585.216588"},{"key":"ref2","article-title":"The gap between processor and memory speeds","volume-title":"Proc. of IEEE International Conference on Control and Automation","author":"Carvalho"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1017\/cbo9781139051224"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/2.596622"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/I-SPAN.2008.24"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3422575.3422807"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/HPEC55821.2022.9926307"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-021-00268-y"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/HPCC-CSS-ICESS.2015.175"},{"key":"ref10","article-title":"Learning memory access patterns","volume-title":"CoRR","volume":"abs\/l803.02329","author":"Hashemi","year":"2018"},{"key":"ref11","article-title":"A neural network memory prefetcher using semantic locality","author":"Peled","year":"2018","journal-title":"arXiv preprint"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3132402.3132405"},{"key":"ref13","article-title":"Understanding memory access patterns for prefetching","volume-title":"International Workshop on AI-assisted Design for Architecture (AIDArc), held in conjunction with ISCA","author":"Braun","year":"2019"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3445814.3446752"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3528416.3530236"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.01.001"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313488"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3008732"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1561\/2200000096"},{"key":"ref20","article-title":"Gated graph sequence neural networks","author":"Li","year":"2015","journal-title":"arXiv preprint"},{"key":"ref21","first-page":"8291","article-title":"Vision gnn: An image is worth graph of nodes","volume":"35","author":"Han","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref22","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016","journal-title":"arXiv preprint"},{"key":"ref23","article-title":"Graph attention networks","author":"Velickovic","year":"2017","journal-title":"arXiv preprint"},{"key":"ref24","article-title":"Memory characterization of workloads using instrumentation-driven simulation","volume-title":"Web Copy","author":"Jaleel","year":"2010"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3373376.3378498"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/264107.264207"},{"key":"ref27","article-title":"Learning memory access patterns","author":"Hashemi","year":"2018","journal-title":"arXiv preprint"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3357526.3357549"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.1998.694794"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3528416.3530236"},{"key":"ref31","author":"Kipf","year":"2017","journal-title":"Semi-supervised classification with graph convolutional networks"},{"key":"ref32","author":"Li","year":"2017","journal-title":"Gated graph sequence neural networks"},{"key":"ref33","author":"Velickovic","year":"2018","journal-title":"Graph attention networks"},{"key":"ref34","author":"Buterez","year":"2022","journal-title":"Graph neural networks with adaptive readouts"},{"key":"ref35","author":"Fey","year":"1903","journal-title":"Fast graph representation learning with pytorch geometric"},{"key":"ref36","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv preprint"},{"issue":"01","key":"ref37","article-title":"Evaluation: From precision, recall and f-factor to roc, informedness, markedness correlation","volume":"2","author":"Powers","year":"2008","journal-title":"Mach. Learn. Technol."}],"event":{"name":"2023 IEEE High Performance Extreme Computing Conference (HPEC)","location":"Boston, MA, USA","start":{"date-parts":[[2023,9,25]]},"end":{"date-parts":[[2023,9,29]]}},"container-title":["2023 IEEE High Performance Extreme Computing Conference (HPEC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10363430\/10363422\/10363605.pdf?arnumber=10363605","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T15:30:45Z","timestamp":1705073445000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10363605\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,25]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/hpec58863.2023.10363605","relation":{},"subject":[],"published":{"date-parts":[[2023,9,25]]}}}