{"id":"https://openalex.org/W4386859295","doi":"https://doi.org/10.1109/islped58423.2023.10244283","title":"A Multicore GNN Training Accelerator","display_name":"A Multicore GNN Training Accelerator","publication_year":2023,"publication_date":"2023-08-07","ids":{"openalex":"https://openalex.org/W4386859295","doi":"https://doi.org/10.1109/islped58423.2023.10244283"},"language":"en","primary_location":{"id":"doi:10.1109/islped58423.2023.10244283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/islped58423.2023.10244283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076919222","display_name":"Sudipta Mondal","orcid":"https://orcid.org/0000-0001-6521-2344"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sudipta Mondal","raw_affiliation_strings":["University of Minnesota,Minneapolis,MN,USA","University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota,Minneapolis,MN,USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002036272","display_name":"S Ramprasath","orcid":"https://orcid.org/0000-0001-9487-9340"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramprasath S.","raw_affiliation_strings":["University of Minnesota,Minneapolis,MN,USA","University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota,Minneapolis,MN,USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022067893","display_name":"Ziqing Zeng","orcid":"https://orcid.org/0000-0002-6981-2299"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziqing Zeng","raw_affiliation_strings":["University of Minnesota,Minneapolis,MN,USA","University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota,Minneapolis,MN,USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063963932","display_name":"Kishor Kunal","orcid":"https://orcid.org/0000-0003-3510-9850"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kishor Kunal","raw_affiliation_strings":["University of Minnesota,Minneapolis,MN,USA","University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota,Minneapolis,MN,USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068714995","display_name":"Sachin S. Sapatnekar","orcid":"https://orcid.org/0000-0002-5353-2364"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sachin S. Sapatnekar","raw_affiliation_strings":["University of Minnesota,Minneapolis,MN,USA","University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota,Minneapolis,MN,USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076919222"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":0.1746,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56037688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.8487462401390076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8386455774307251},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.6467611789703369},{"id":"https://openalex.org/keywords/application-specific-integrated-circuit","display_name":"Application-specific integrated circuit","score":0.6132555603981018},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.5677451491355896},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5456921458244324},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.45719826221466064},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.40926507115364075},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.40728023648262024}],"concepts":[{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.8487462401390076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8386455774307251},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.6467611789703369},{"id":"https://openalex.org/C77390884","wikidata":"https://www.wikidata.org/wiki/Q217302","display_name":"Application-specific integrated circuit","level":2,"score":0.6132555603981018},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.5677451491355896},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5456921458244324},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.45719826221466064},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.40926507115364075},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.40728023648262024}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/islped58423.2023.10244283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/islped58423.2023.10244283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1990505905","https://openalex.org/W2034861439","https://openalex.org/W2070232376","https://openalex.org/W2118231264","https://openalex.org/W2761132374","https://openalex.org/W2951136539","https://openalex.org/W2971933740","https://openalex.org/W3000310304","https://openalex.org/W3017228913","https://openalex.org/W3037699692","https://openalex.org/W3096566397","https://openalex.org/W3100078588","https://openalex.org/W3105753905","https://openalex.org/W3106125969","https://openalex.org/W3127829048","https://openalex.org/W3162147375","https://openalex.org/W3169294134","https://openalex.org/W3172512547","https://openalex.org/W3175618977","https://openalex.org/W3213228850","https://openalex.org/W3214431650","https://openalex.org/W3214705685","https://openalex.org/W4226137788","https://openalex.org/W4292200259","https://openalex.org/W4293024973","https://openalex.org/W4295934676","https://openalex.org/W4312726386","https://openalex.org/W6659004162","https://openalex.org/W6764171799","https://openalex.org/W6767710714","https://openalex.org/W6774478992","https://openalex.org/W6776488958","https://openalex.org/W6779909149","https://openalex.org/W6781376665","https://openalex.org/W6795245311","https://openalex.org/W6796909790","https://openalex.org/W6797677657","https://openalex.org/W6841789395"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2891987081","https://openalex.org/W1485756991","https://openalex.org/W2376218453","https://openalex.org/W2984236338","https://openalex.org/W3012895752"],"abstract_inverted_index":{"Graph":[0],"neural":[1],"networks":[2],"(GNN)":[3],"are":[4,143],"vital":[5],"for":[6,26,76],"analytics":[7],"on":[8,100,122],"real-world":[9],"problems":[10],"with":[11,60,129],"graph":[12],"models.":[13,105],"This":[14],"work":[15,80],"develops":[16,23],"a":[17,72,82,101,123,125],"multicore":[18],"GNN":[19,88,104],"training":[20,108],"accelerator":[21],"and":[22,112,138,140,148],"multicore-specific":[24,32],"optimizations":[25],"superior":[27],"performance.":[28,78],"It":[29],"uses":[30],"enhanced":[31],"dynamic":[33],"caching":[34],"to":[35,55,97],"circumvent":[36],"the":[37],"costs":[38],"of":[39,44,103,110,116,127],"irregular":[40],"DRAM":[41],"access":[42,69],"patterns":[43],"graph-structured":[45],"data.":[46],"A":[47],"novel":[48],"feature":[49],"vector":[50],"segmentation":[51],"approach":[52],"is":[53,118,133],"used":[54],"maximize":[56],"on-chip":[57,62],"data":[58,68],"reuse":[59],"high":[61],"computation":[63],"per":[64],"memory":[65],"access,":[66],"reducing":[67],"latency,":[70],"using":[71],"machine":[73],"learning":[74],"model":[75],"optimal":[77],"The":[79],"presents":[81],"major":[83],"advance":[84],"over":[85,120,135,145],"prior":[86],"FPGA/ASIC":[87],"accelerators":[89],"by":[90],"handling":[91],"significantly":[92],"larger":[93],"datasets":[94],"(with":[95],"up":[96],"8.6M":[98],"vertices)":[99],"variety":[102],"On":[106],"average,":[107],"speedup":[109,126],"17\u00d7":[111],"energy":[113,132],"efficiency":[114],"improvement":[115],"322\u00d7":[117],"achieved":[119],"DGL":[121],"GPU;":[124],"14\u00d7":[128],"268\u00d7":[130],"lower":[131],"shown":[134],"GPU-based":[136],"GNNAdvisor;":[137],"11\u00d7":[139],"24\u00d7":[141],"speedups":[142],"obtained":[144],"ASIC-based":[146],"Rubik":[147],"FPGA-based":[149],"GraphACT.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}