{"id":"https://openalex.org/W7155384849","doi":"https://doi.org/10.48550/arxiv.2604.20073","title":"Scaling Worst-Case Optimal Datalog to GPUs","display_name":"Scaling Worst-Case Optimal Datalog to GPUs","publication_year":2026,"publication_date":"2026-04-22","ids":{"openalex":"https://openalex.org/W7155384849","doi":"https://doi.org/10.48550/arxiv.2604.20073"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.20073","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20073","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.20073","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028036559","display_name":"Yihao Sun","orcid":"https://orcid.org/0000-0003-0946-2511"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Yihao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134410563","display_name":"Kunting Qi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi, Kunting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080073613","display_name":"Thomas Gilray","orcid":"https://orcid.org/0000-0002-0393-8542"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gilray, Thomas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134430365","display_name":"Sidharth Kumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kumar, Sidharth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5066289382","display_name":"Kristopher Micinski","orcid":"https://orcid.org/0000-0002-8650-0991"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Micinski, Kristopher","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.8398000001907349,"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":0.8398000001907349,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.07479999959468842,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.019099999219179153,"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/datalog","display_name":"Datalog","score":0.9760000109672546},{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.8513000011444092},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.45890000462532043},{"id":"https://openalex.org/keywords/iterated-function","display_name":"Iterated function","score":0.45179998874664307},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4171000123023987},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3723999857902527},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.3327000141143799},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.31380000710487366}],"concepts":[{"id":"https://openalex.org/C148230440","wikidata":"https://www.wikidata.org/wiki/Q1172264","display_name":"Datalog","level":2,"score":0.9760000109672546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8514999747276306},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.8513000011444092},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5752000212669373},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5419999957084656},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.45890000462532043},{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.45179998874664307},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4507000148296356},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4171000123023987},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3723999857902527},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C136643341","wikidata":"https://www.wikidata.org/wiki/Q1361526","display_name":"Reachability","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C2776834041","wikidata":"https://www.wikidata.org/wiki/Q25346349","display_name":"Execution model","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.267300009727478},{"id":"https://openalex.org/C193702766","wikidata":"https://www.wikidata.org/wiki/Q1414548","display_name":"Concurrency","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C2780432614","wikidata":"https://www.wikidata.org/wiki/Q864213","display_name":"Conservative extension","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.20073","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20073","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.20073","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20073","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Datalog":[0,46,73,154],"is":[1,21],"a":[2],"declarative":[3],"logic-programming":[4],"language":[5],"used":[6],"for":[7,33,83],"complex":[8,85],"analytic":[9],"reasoning":[10],"workloads":[11],"such":[12,92],"as":[13,93],"program":[14],"analysis":[15],"and":[16,95,111,164,177,188,202],"graph":[17],"analytics.":[18],"Datalog's":[19],"popularity":[20],"due":[22],"to":[23,49,114,134,169,216],"its":[24],"unique":[25],"price-point,":[26],"marrying":[27],"logic-defined":[28],"specification":[29],"with":[30],"the":[31,42,84,104,151,171,178],"potential":[32],"massive":[34],"data":[35],"parallelism.":[36],"While":[37],"traditional":[38],"engines":[39,56,59,74],"are":[40,75,81],"CPU-based,":[41],"memory-bound":[43],"nature":[44],"of":[45,118,174,181,214],"has":[47],"led":[48],"increasing":[50],"interest":[51],"in":[52,89,109],"leveraging":[53],"GPUs.":[54],"These":[55],"beat":[57],"CPU-based":[58],"by":[60],"operationalizing":[61],"iterated":[62],"relational":[63],"joins":[64,176],"via":[65],"SIMT-friendly":[66],"join":[67,119],"algorithms.":[68],"Unfortunately,":[69],"all":[70],"existing":[71],"GPU":[72,153],"built":[76],"on":[77,157],"binary":[78,100,175],"joins,":[79],"which":[80],"inadequate":[82],"multi-way":[86],"queries":[87],"arising":[88],"production":[90],"systems":[91],"DOOP":[94],"ddisasm.":[96],"For":[97],"these":[98],"queries,":[99],"decomposition":[101],"can":[102],"incur":[103],"AGM":[105],"bound":[106],"asymptotic":[107],"blowup":[108],"time":[110],"space,":[112],"leading":[113],"OOM":[115,172],"failures":[116,173],"regardless":[117],"order.":[120],"Worst-Case":[121],"Optimal":[122],"Joins":[123],"(WCOJ)":[124],"avoid":[125,170],"this":[126],"blowup,":[127],"but":[128],"their":[129],"attribute-at-a-time":[130],"intersections":[131],"map":[132],"poorly":[133],"SIMT":[135],"hardware":[136,190],"under":[137],"key":[138],"skew,":[139],"causing":[140],"severe":[141],"load":[142,197],"imbalance":[143],"across":[144],"Streaming":[145],"Multiprocessors":[146],"(SMs).":[147],"We":[148],"present":[149],"SRDatalog,":[150],"first":[152],"engine":[155],"based":[156],"WCOJ.":[158],"SRDatalog":[159,192,210],"uses":[160],"flat":[161],"columnar":[162],"storage":[163],"two-phase":[165],"deterministic":[166],"memory":[167],"allocation":[168],"index-rebuild":[179],"overheads":[180],"static":[182],"WCOJ":[183],"systems.":[184],"To":[185],"mitigate":[186],"skew":[187],"hide":[189],"stalls,":[191],"further":[193],"employs":[194],"root-level":[195],"histogram-guided":[196],"balancing,":[198],"structural":[199],"helper-relation":[200],"splitting,":[201],"stream-aligned":[203],"rule":[204],"multiplexing.":[205],"On":[206],"real-world":[207],"program-analysis":[208],"workloads,":[209],"achieves":[211],"geometric-mean":[212],"speedups":[213],"21x":[215],"47x.":[217]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-24T00:00:00"}