{"id":"https://openalex.org/W4401408827","doi":"https://doi.org/10.1145/3673038.3673152","title":"Sparsity-Aware Communication for Distributed Graph Neural Network Training","display_name":"Sparsity-Aware Communication for Distributed Graph Neural Network Training","publication_year":2024,"publication_date":"2024-08-08","ids":{"openalex":"https://openalex.org/W4401408827","doi":"https://doi.org/10.1145/3673038.3673152"},"language":"en","primary_location":{"id":"doi:10.1145/3673038.3673152","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3673038.3673152","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3673038.3673152","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd International Conference on Parallel Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3673038.3673152","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002823513","display_name":"Ujjaini Mukhopadhyay","orcid":"https://orcid.org/0000-0002-0492-1056"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ujjaini Mukhopadhyay","raw_affiliation_strings":["University of California, Berkeley, United States of America"],"raw_orcid":"https://orcid.org/0009-0002-8438-0356","affiliations":[{"raw_affiliation_string":"University of California, Berkeley, United States of America","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024125901","display_name":"A. Tripathy","orcid":"https://orcid.org/0009-0001-6755-3895"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alok Tripathy","raw_affiliation_strings":["University of California, Berkeley, United States of America and Lawrence Berkeley National Lab, United States of America"],"raw_orcid":"https://orcid.org/0009-0001-6755-3895","affiliations":[{"raw_affiliation_string":"University of California, Berkeley, United States of America and Lawrence Berkeley National Lab, United States of America","institution_ids":["https://openalex.org/I148283060","https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075496842","display_name":"O\u011fuz Selvitopi","orcid":"https://orcid.org/0000-0002-0203-0372"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oguz Selvitopi","raw_affiliation_strings":["Lawrence Berkeley National Lab, USA"],"raw_orcid":"https://orcid.org/0000-0002-0203-0372","affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Lab, USA","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091741596","display_name":"Katherine Yelick","orcid":"https://orcid.org/0000-0003-0957-701X"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katherine Yelick","raw_affiliation_strings":["University of California, Berkeley, United States of America and Lawrence Berkeley National Lab, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-0957-701X","affiliations":[{"raw_affiliation_string":"University of California, Berkeley, United States of America and Lawrence Berkeley National Lab, United States of America","institution_ids":["https://openalex.org/I148283060","https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035719914","display_name":"Ayd\u0131n Bulu\u00e7","orcid":"https://orcid.org/0000-0001-7253-9038"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aydin Buluc","raw_affiliation_strings":["Lawrence Berkeley National Lab, USA and University of California, Berkeley, USA"],"raw_orcid":"https://orcid.org/0000-0001-7253-9038","affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Lab, USA and University of California, Berkeley, USA","institution_ids":["https://openalex.org/I148283060","https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2219,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8259578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"117","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9987000226974487,"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":0.9987000226974487,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9977999925613403,"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":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8501140475273132},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.8056111335754395},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6992214918136597},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5176801681518555},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4954730272293091},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4657272696495056},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4578290581703186},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4566445052623749},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.44806328415870667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4196537733078003},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3303832411766052},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2794051170349121}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8501140475273132},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8056111335754395},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6992214918136597},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5176801681518555},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4954730272293091},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4657272696495056},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4578290581703186},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4566445052623749},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.44806328415870667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4196537733078003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3303832411766052},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2794051170349121},{"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/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3673038.3673152","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3673038.3673152","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3673038.3673152","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd International Conference on Parallel Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3673038.3673152","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3673038.3673152","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3673038.3673152","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd International Conference on Parallel Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4511449780","display_name":null,"funder_award_id":"DE-AC02-05CH11231","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401408827.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1910515323","https://openalex.org/W1985181952","https://openalex.org/W2056999868","https://openalex.org/W2070232376","https://openalex.org/W2092322180","https://openalex.org/W2094674899","https://openalex.org/W2139316564","https://openalex.org/W2235832317","https://openalex.org/W2483598939","https://openalex.org/W2529031466","https://openalex.org/W2624431344","https://openalex.org/W2907492528","https://openalex.org/W3037699692","https://openalex.org/W3090369187","https://openalex.org/W3105937213","https://openalex.org/W3159953606","https://openalex.org/W3169307980","https://openalex.org/W3206504463","https://openalex.org/W4221142473","https://openalex.org/W4233475787","https://openalex.org/W4256464778","https://openalex.org/W4294558607","https://openalex.org/W4400064739"],"related_works":["https://openalex.org/W2011430815","https://openalex.org/W4321606653","https://openalex.org/W1515810787","https://openalex.org/W2293771254","https://openalex.org/W3121828480","https://openalex.org/W2039875226","https://openalex.org/W4221142455","https://openalex.org/W2032786851","https://openalex.org/W2914631005","https://openalex.org/W2952630098"],"abstract_inverted_index":{"Graph":[0],"Neural":[1],"Networks":[2],"(GNNs)":[3],"are":[4,57],"a":[5,67],"computationally":[6],"efficient":[7],"method":[8],"to":[9,66],"learn":[10],"embeddings":[11],"and":[12,77],"classifications":[13],"on":[14,51],"graph":[15],"data.":[16,95],"However,":[17],"GNN":[18],"training":[19,42],"has":[20],"low":[21],"computational":[22,38],"intensity,":[23],"making":[24],"communication":[25,69,83],"costs":[26],"the":[27,36,61,79,86],"bottleneck":[28],"for":[29],"scalability.":[30],"Sparse-matrix":[31],"dense-matrix":[32],"multiplication":[33],"(SpMM)":[34],"is":[35],"core":[37],"operation":[39,49],"in":[40],"full-graph":[41],"of":[43,60,81,88],"GNNs.":[44],"Previous":[45],"work":[46],"parallelizing":[47],"this":[48],"focused":[50],"sparsity-oblivious":[52],"algorithms,":[53],"where":[54],"matrix":[55],"elements":[56],"communicated":[58],"regardless":[59],"sparsity":[62],"pattern.":[63],"This":[64],"leads":[65],"predictable":[68],"pattern":[70],"that":[71],"can":[72],"be":[73],"overlapped":[74],"with":[75],"computation":[76],"enables":[78],"use":[80],"collective":[82],"operations":[84],"at":[85],"expense":[87],"wasting":[89],"significant":[90],"bandwidth":[91],"by":[92],"communicating":[93],"unnecessary":[94]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}