{"id":"https://openalex.org/W4396843773","doi":"https://doi.org/10.1145/3589335.3651549","title":"RealGraphGPU++: A High-Performance GPU-Based Graph Engine with Direct Storage-to-DM IO","display_name":"RealGraphGPU++: A High-Performance GPU-Based Graph Engine with Direct Storage-to-DM IO","publication_year":2024,"publication_date":"2024-05-12","ids":{"openalex":"https://openalex.org/W4396843773","doi":"https://doi.org/10.1145/3589335.3651549"},"language":"en","primary_location":{"id":"doi:10.1145/3589335.3651549","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651549","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651549","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","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/10.1145/3589335.3651549","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100776535","display_name":"Jeong-Min Park","orcid":"https://orcid.org/0009-0008-0111-5332"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jeong-Min Park","raw_affiliation_strings":["Hanyang University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086934841","display_name":"Myung-Hwan Jang","orcid":"https://orcid.org/0000-0003-4419-5148"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myung-Hwan Jang","raw_affiliation_strings":["Hanyang University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001797516","display_name":"Duck\u2010Ho Bae","orcid":"https://orcid.org/0009-0006-2517-2732"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Duck-Ho Bae","raw_affiliation_strings":["Samsung Electronics, Hwaseong-si, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Samsung Electronics, Hwaseong-si, Republic of Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100656150","display_name":"Sang\u2010Wook Kim","orcid":"https://orcid.org/0000-0002-6345-9084"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Wook Kim","raw_affiliation_strings":["Hanyang Universty, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang Universty, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100776535"],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":0.5263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62661618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"654","last_page":"657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9965999722480774,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9653000235557556,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7868276238441467},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5389403104782104},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4530678391456604},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.343284547328949},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1104169487953186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7868276238441467},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5389403104782104},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4530678391456604},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.343284547328949},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1104169487953186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589335.3651549","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651549","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651549","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3589335.3651549","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651549","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651549","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396843773.pdf"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1987634495","https://openalex.org/W2053076698","https://openalex.org/W2430299817","https://openalex.org/W2913145929","https://openalex.org/W4306317282","https://openalex.org/W4367046899","https://openalex.org/W4367318781"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Recently,":[0],"with":[1],"the":[2,21,39],"increasing":[3],"size":[4],"of":[5,20,43,99],"real-world":[6,122],"networks,":[7],"graph":[8,16,24,133],"engines":[9,134],"have":[10],"been":[11],"studied":[12],"extensively":[13],"for":[14,58],"efficient":[15],"analysis.":[17],"As":[18],"one":[19],"state-of-the-art":[22,132],"single-machine-based":[23],"engines,":[25],"\\textRealGraph":[26,52,75,126,136],"^\\textGPU":[27,53,137],"processes":[28],"large-scale":[29],"graphs":[30],"very":[31],"efficiently":[32],"thanks":[33],"to":[34,73,104],"its":[35],"well-designed":[36],"architecture":[37],"and":[38,66,92,101],"strong":[40],"parallel-computing":[41],"power":[42],"GPU.":[44],"Via":[45],"a":[46,55,78],"preliminary":[47],"analysis,":[48],"we":[49],"first":[50],"observe":[51],"has":[54],"good":[56],"chance":[57],"more":[59,108],"performance":[60,113],"improvement":[61],"in":[62],"IOs":[63],"between":[64,90],"storage":[65,91],"GPU's":[67],"device":[68,93],"memory.":[69,94],"This":[70],"motivates":[71],"us":[72],"present":[74],"^\\textGPU++":[76,127],",":[77],"solution":[79],"that":[80,125],"substantially":[81],"reduces":[82],"IO":[83,106,117],"time":[84],"by":[85,114],"establishing":[86],"adirect":[87],"data":[88],"path":[89],"Additionally,":[95],"it":[96],"employsasynchronous":[97],"processing":[98],"CPU":[100],"GPU":[102],"tasks":[103],"issue":[105],"requests":[107],"frequently,":[109],"thereby":[110],"improving":[111],"overall":[112],"achieving":[115],"higher":[116],"bandwidth.":[118],"Experimental":[119],"results":[120],"on":[121],"datasets":[123],"show":[124],"outperforms":[128],"dramatically":[129],"existing":[130],"11":[131],"including":[135],".":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
