{"id":"https://openalex.org/W4312305797","doi":"https://doi.org/10.1109/tc.2022.3211413","title":"EGCN: An Efficient GCN Accelerator for Minimizing Off-Chip Memory Access","display_name":"EGCN: An Efficient GCN Accelerator for Minimizing Off-Chip Memory Access","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312305797","doi":"https://doi.org/10.1109/tc.2022.3211413"},"language":"en","primary_location":{"id":"doi:10.1109/tc.2022.3211413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2022.3211413","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","0016-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-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/A5036617506","display_name":"Yunki Han","orcid":"https://orcid.org/0000-0003-0432-9324"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yunki Han","raw_affiliation_strings":["Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-0432-9324","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076633475","display_name":"Kangkyu Park","orcid":"https://orcid.org/0000-0003-1307-2735"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kangkyu Park","raw_affiliation_strings":["Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-1307-2735","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033454629","display_name":"Youngbeom Jung","orcid":"https://orcid.org/0000-0002-5693-0149"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngbeom Jung","raw_affiliation_strings":["Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-5693-0149","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052390471","display_name":"Lee\u2010Sup Kim","orcid":"https://orcid.org/0000-0001-9585-4591"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Lee-Sup Kim","raw_affiliation_strings":["Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-9585-4591","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.8122,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7691708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9993000030517578,"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":0.9993000030517578,"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/T11478","display_name":"Caching and Content Delivery","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8420227766036987},{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.7098267078399658},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.652579665184021},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6436445713043213},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5153748393058777},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5104590654373169},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.4252907633781433},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.41829705238342285},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.4100303053855896},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.33382701873779297},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.28627175092697144},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16452431678771973}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8420227766036987},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.7098267078399658},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.652579665184021},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6436445713043213},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5153748393058777},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5104590654373169},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.4252907633781433},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.41829705238342285},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.4100303053855896},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.33382701873779297},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.28627175092697144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16452431678771973},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tc.2022.3211413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2022.3211413","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","0016-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1788180225","https://openalex.org/W1832683484","https://openalex.org/W2034861439","https://openalex.org/W2054095206","https://openalex.org/W2163605009","https://openalex.org/W2606780347","https://openalex.org/W2725159389","https://openalex.org/W2762390662","https://openalex.org/W2807021761","https://openalex.org/W2901504064","https://openalex.org/W2940457086","https://openalex.org/W2950542868","https://openalex.org/W2961295589","https://openalex.org/W2962711740","https://openalex.org/W2964015378","https://openalex.org/W2964571482","https://openalex.org/W3000310304","https://openalex.org/W3004208721","https://openalex.org/W3017228913","https://openalex.org/W3046757167","https://openalex.org/W3047846843","https://openalex.org/W3090369187","https://openalex.org/W3091862797","https://openalex.org/W3099590572","https://openalex.org/W3100848837","https://openalex.org/W3105753905","https://openalex.org/W3106125969","https://openalex.org/W3157609068","https://openalex.org/W3162147375","https://openalex.org/W3177242809","https://openalex.org/W3214705685","https://openalex.org/W4206482253","https://openalex.org/W4249932213","https://openalex.org/W4288419263","https://openalex.org/W4294558607","https://openalex.org/W6638233953","https://openalex.org/W6638659379","https://openalex.org/W6684191040","https://openalex.org/W6726873649","https://openalex.org/W6736685754","https://openalex.org/W6738964360","https://openalex.org/W6754929296","https://openalex.org/W6760045743","https://openalex.org/W6765543928"],"related_works":["https://openalex.org/W2998381397","https://openalex.org/W4236419692","https://openalex.org/W2058965144","https://openalex.org/W3167919718","https://openalex.org/W2164382479","https://openalex.org/W4225271228","https://openalex.org/W1484403103","https://openalex.org/W2891987081","https://openalex.org/W2187181201","https://openalex.org/W4318347836"],"abstract_inverted_index":{"As":[0],"Graph":[1],"Convolutional":[2],"Networks":[3],"(GCNs)":[4],"have":[5,142],"emerged":[6],"as":[7,74],"a":[8],"promising":[9],"solution":[10],"for":[11,58,169],"graph":[12],"representation":[13],"learning,":[14],"designing":[15,59],"specialized":[16,168],"GCN":[17,27,35,62,164],"accelerators":[18],"has":[19],"become":[20],"an":[21,60,162],"important":[22],"challenge.":[23],"An":[24],"analysis":[25],"of":[26,34,44,102,128,139],"workloads":[28],"shows":[29],"that":[30],"the":[31,41,55,88,94,111,132,137,191],"main":[32],"bottleneck":[33],"processing":[36],"is":[37,54,69,154],"not":[38,147],"computation":[39],"but":[40],"memory":[42,84,172],"latency":[43],"intensive":[45],"off-chip":[46,51,83,171,177],"data":[47,52,126,144,152],"transfer.":[48],"Therefore,":[49],"minimizing":[50,170],"transfer":[53,127],"primary":[56],"challenge":[57],"efficient":[61,163],"accelerator.":[63],"To":[64],"address":[65],"this":[66,79],"challenge,":[67],"optimization":[68],"initialized":[70],"by":[71],"considering":[72],"GCNs":[73],"tiled":[75],"matrix":[76],"multiplication.":[77],"In":[78],"paper,":[80],"we":[81,97,160],"optimize":[82],"access":[85,179],"from":[86],"both":[87],"in-":[89],"and":[90,105,115,183],"out-of-tile":[91,95],"perspectives.":[92],"From":[93,131],"perspective,":[96,134],"find":[98],"optimal":[99,122],"tile":[100,123],"configurations":[101],"given":[103],"datasets":[104],"on-chip":[106],"buffer":[107],"capacity,":[108],"then":[109],"observe":[110],"dataflow":[112,120],"across":[113],"phases":[114],"layers.":[116],"Inter-layer":[117],"phase":[118],"fusion":[119],"with":[121,156],"configuration":[124],"reduces":[125],"intermediate":[129],"outputs.":[130],"in-tile":[133],"due":[135],"to":[136],"sparsity":[138],"tiles,":[140],"tiles":[141],"redundant":[143],"which":[145],"does":[146],"participate":[148],"in":[149],"computation.":[150],"Redundant":[151],"load":[153],"eliminated":[155],"hardware":[157],"support.":[158],"Finally,":[159],"introduce":[161],"inference":[165],"accelerator,":[166],"EGCN,":[167],"access.":[173],"EGCN":[174],"achieves":[175],"41.9%":[176],"DRAM":[178],"reduction,":[180],"1.49\u00d7":[181],"speedup,":[182],"1.95\u00d7":[184],"energy":[185],"efficiency":[186],"improvement":[187],"on":[188],"average":[189],"over":[190],"state-of-the-art":[192],"accelerators.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
