{"id":"https://openalex.org/W4411553084","doi":"https://doi.org/10.1145/3736548.3737829","title":"RingSampler: GNN sampling on large-scale graphs with io_uring","display_name":"RingSampler: GNN sampling on large-scale graphs with io_uring","publication_year":2025,"publication_date":"2025-06-23","ids":{"openalex":"https://openalex.org/W4411553084","doi":"https://doi.org/10.1145/3736548.3737829"},"language":"en","primary_location":{"id":"doi:10.1145/3736548.3737829","doi":"https://doi.org/10.1145/3736548.3737829","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736548.3737829","pdf_url":null,"source":{"id":"https://openalex.org/S7407086673","display_name":"ACM Workshop on Hot Topics in Storage and File Systems (HotStorage)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 17th ACM Workshop on Hot Topics in Storage and File Systems","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3736548.3737829","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Qixuan Chen","orcid":"https://orcid.org/0009-0002-2331-0573","observed_orcids":["https://orcid.org/0009-0002-2331-0573"]},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qixuan Chen","raw_affiliation_strings":["Boston University"],"raw_orcid":"https://orcid.org/0009-0002-2331-0573","affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098942347","display_name":"Yuhang Song","orcid":"https://orcid.org/0009-0004-2006-3137","observed_orcids":["https://orcid.org/0009-0004-2006-3137"]},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhang Song","raw_affiliation_strings":["Boston University"],"raw_orcid":"https://orcid.org/0009-0004-2006-3137","affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Melissa Martinez","orcid":"https://orcid.org/0009-0009-4145-9233","observed_orcids":["https://orcid.org/0009-0009-4145-9233"]},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melissa Martinez","raw_affiliation_strings":["Boston University"],"raw_orcid":"https://orcid.org/0009-0009-4145-9233","affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068567119","display_name":"Vasiliki Kalavri","orcid":"https://orcid.org/0000-0001-8219-4862","observed_orcids":["https://orcid.org/0000-0001-8219-4862"]},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vasiliki Kalavri","raw_affiliation_strings":["Boston University"],"raw_orcid":"https://orcid.org/0000-0001-8219-4862","affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":["https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111088046"],"apc_list":null,"apc_paid":null,"fwci":0.7848,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71014032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"52","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9711999893188477,"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"}},"topics":[{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9711999893188477,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.02019999921321869,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.0032999999821186066,"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/graph-neural-networks","display_name":"graph neural networks","score":0.8679999709129333},{"id":"https://openalex.org/keywords/neighborhood-sampling","display_name":"neighborhood sampling","score":0.8330000042915344},{"id":"https://openalex.org/keywords/large-graphs","display_name":"large-scale graphs","score":0.7609999775886536},{"id":"https://openalex.org/keywords/simultaneous-sampling","display_name":"synchronous sampling","score":0.531000018119812},{"id":"https://openalex.org/keywords/gpu-resource-allocation","display_name":"GPU resource allocation","score":0.4830000102519989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6762096881866455},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5296822786331177},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.45963507890701294},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16996118426322937},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1047922670841217},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10226428508758545},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3736548.3737829","doi":"https://doi.org/10.1145/3736548.3737829","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736548.3737829","pdf_url":null,"source":{"id":"https://openalex.org/S7407086673","display_name":"ACM Workshop on Hot Topics in Storage and File Systems (HotStorage)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 17th ACM Workshop on Hot Topics in Storage and File Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3736548.3737829","doi":"https://doi.org/10.1145/3736548.3737829","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736548.3737829","pdf_url":null,"source":{"id":"https://openalex.org/S7407086673","display_name":"ACM Workshop on Hot Topics in Storage and File Systems (HotStorage)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 17th ACM Workshop on Hot Topics in Storage and File Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1108475222","display_name":null,"funder_award_id":"#2237193","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":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2154987621","https://openalex.org/W2776946878","https://openalex.org/W2807021761","https://openalex.org/W2945827377","https://openalex.org/W3080512189","https://openalex.org/W3152893301","https://openalex.org/W3158520854","https://openalex.org/W3159894882","https://openalex.org/W4281850905","https://openalex.org/W4281926585","https://openalex.org/W4292718518","https://openalex.org/W4306317340","https://openalex.org/W4372267520","https://openalex.org/W4387321131","https://openalex.org/W4393407046","https://openalex.org/W4393407062","https://openalex.org/W4396601595","https://openalex.org/W4399164756","https://openalex.org/W4401408756","https://openalex.org/W4407357390"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2090412404"],"abstract_inverted_index":{"Neighborhood":[0],"sampling":[1,39,85,103,125],"is":[2,130],"a":[3,60,82,98],"critical":[4],"computation":[5,40,113],"step":[6],"in":[7,139],"graph":[8],"learning":[9],"with":[10,114,132],"Graph":[11],"Neural":[12],"Networks":[13],"(GNNs),":[14],"often":[15],"accounting":[16],"for":[17],"the":[18,21,38,50,73],"majority":[19],"of":[20,52,76,94],"training":[22,30,77,93],"time.":[23],"To":[24],"mitigate":[25],"this":[26],"bottleneck":[27],"and":[28,55,110,129],"scale":[29],"to":[31,41,72,90,108],"very":[32],"large":[33,127],"graphs,":[34],"existing":[35],"approaches":[36,134],"offload":[37],"GPUs":[42],"or":[43],"computational":[44],"storage,":[45],"such":[46],"as":[47],"SmartSSDs.":[48],"Given":[49],"ubiquity":[51],"multi-core":[53],"CPUs":[54],"high-throughput":[56],"SSDs,":[57],"we":[58],"investigate":[59],"simpler":[61],"design":[62],"that":[63,87,120,137],"performs":[64],"CPU-based":[65],"sampling,":[66],"making":[67],"GPU":[68],"resources":[69],"fully":[70],"available":[71],"aggregation":[74],"stage":[75],"instead.":[78],"We":[79],"propose":[80],"RingSampler,":[81],"new":[83],"GNN":[84],"system":[86],"leverages":[88],"io_uring":[89],"support":[91],"efficient":[92],"billion-edge":[95],"graphs":[96,128,136],"on":[97,126,135],"single":[99],"machine.":[100],"RingSampler":[101,121],"parallelizes":[102],"by":[104],"transparently":[105],"assigning":[106],"mini-batches":[107],"threads":[109],"effectively":[111],"overlapping":[112],"I/O":[115],"operations.":[116],"Our":[117],"results":[118],"show":[119],"significantly":[122],"outperforms":[123],"SmartSSD-based":[124],"competitive":[131],"GPU-accelerated":[133],"fit":[138],"main":[140],"memory.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}