{"id":"https://openalex.org/W7160902987","doi":"https://doi.org/10.48550/arxiv.2605.10090","title":"CCD-Level and Load-Aware Thread Orchestration for In-Memory Vector ANNS on Multi-Core CPUs","display_name":"CCD-Level and Load-Aware Thread Orchestration for In-Memory Vector ANNS on Multi-Core CPUs","publication_year":2026,"publication_date":"2026-05-11","ids":{"openalex":"https://openalex.org/W7160902987","doi":"https://doi.org/10.48550/arxiv.2605.10090"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.10090","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.10090","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.10090","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101372259","display_name":"Yuchen Huang","orcid":"https://orcid.org/0009-0006-8138-5740"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Yuchen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110946382","display_name":"Baiteng Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Baiteng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135975064","display_name":"Yiping Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Yiping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135990567","display_name":"Yang Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135989005","display_name":"Xiao Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100565225","display_name":"Xueping Zhong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhong, Xiaocheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136000591","display_name":"Zhiyong Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhiyong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135976207","display_name":"Yao Hu","orcid":"https://orcid.org/0000-0001-5459-0948"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Yao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5025387109","display_name":"Chuliang Weng","orcid":"https://orcid.org/0000-0003-0293-5857"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weng, Chuliang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.7184000015258789,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.7184000015258789,"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/T11106","display_name":"Data Management and Algorithms","score":0.0729999989271164,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.031700000166893005,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/thread","display_name":"Thread (computing)","score":0.6175000071525574},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.5009999871253967},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.46970000863075256},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.4562000036239624},{"id":"https://openalex.org/keywords/multithreading","display_name":"Multithreading","score":0.4526999890804291},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.3953999876976013},{"id":"https://openalex.org/keywords/orchestration","display_name":"Orchestration","score":0.33090001344680786},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.32710000872612}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8222000002861023},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.6175000071525574},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5702999830245972},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.5009999871253967},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.46970000863075256},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.4562000036239624},{"id":"https://openalex.org/C201410400","wikidata":"https://www.wikidata.org/wiki/Q1064412","display_name":"Multithreading","level":3,"score":0.4526999890804291},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.4507000148296356},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.3953999876976013},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3472000062465668},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.33090001344680786},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.32710000872612},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C2778787235","wikidata":"https://www.wikidata.org/wiki/Q49007","display_name":"Yarn","level":2,"score":0.31949999928474426},{"id":"https://openalex.org/C189783530","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"CPU cache","level":3,"score":0.30410000681877136},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C2781057727","wikidata":"https://www.wikidata.org/wiki/Q9941","display_name":"Parallel I/O","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C27602214","wikidata":"https://www.wikidata.org/wiki/Q1868547","display_name":"Locality of reference","level":3,"score":0.28299999237060547},{"id":"https://openalex.org/C19012869","wikidata":"https://www.wikidata.org/wiki/Q578372","display_name":"Response time","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C61483411","wikidata":"https://www.wikidata.org/wiki/Q3124522","display_name":"Data parallelism","level":3,"score":0.26649999618530273},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.10090","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.10090","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.10090","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.10090","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"Vector":[0],"approximate":[1],"nearest":[2],"neighbor":[3],"search":[4,7,120,162],"(ANNS)":[5],"underpins":[6],"engines,":[8],"recommendation":[9],"systems,":[10],"and":[11,42,59,125,144,163,171,177,195,209,214,230],"advertising":[12,196],"services.":[13,76],"Recent":[14],"advances":[15,60],"in":[16,49,61,74,109,118,121,212],"ANNS":[17],"indexes":[18],"make":[19],"CPU":[20,233],"a":[21,142,154],"cost-effective":[22],"choice":[23],"for":[24,71,157],"serving":[25],"million-scale,":[26],"in-memory":[27],"vector":[28,40,119],"search,":[29,167,193],"yet":[30],"per-core":[31],"throughput":[32,73,208],"remains":[33],"constrained":[34],"by":[35,228,237],"memory":[36],"access":[37,116],"latency":[38],"of":[39,46,56,95,106,135,174,198],"reading":[41],"the":[43,53,57,93,99,104,132,221,224,231],"compute":[44],"intensity":[45],"distance":[47],"evaluations":[48],"production":[50,111,190],"deployments.":[51],"With":[52],"growing":[54],"scale":[55],"business":[58],"hardware,":[62],"modern":[63],"CCD-based":[64,100],"multi-core":[65],"CPUs":[66],"have":[67],"been":[68],"widely":[69],"deployed":[70],"high":[72,115],"our":[75,110,122,201],"However,":[77],"we":[78,102,140],"find":[79],"that":[80,151],"simply":[81],"increasing":[82],"core":[83],"counts":[84],"does":[85],"not":[86],"yield":[87],"optimal":[88],"performance":[89],"scaling.":[90],"To":[91],"improve":[92],"efficiency":[94],"more":[96],"cores":[97],"from":[98,130,192],"architecture,":[101],"analyze":[103],"distributions":[105],"real-world":[107],"requests":[108],"environments.":[112],"We":[113],"observe":[114],"locality":[117],"online":[123],"services":[124,197],"low":[126],"cache":[127],"utilization,":[128],"resulting":[129],"overlooking":[131],"multi-chiplet":[133],"nature":[134],"CCD":[136],"based":[137],"CPUs.":[138],"Hence,":[139],"propose":[141],"workload-":[143],"hardware-aware":[145],"thread":[146],"orchestration":[147],"framework":[148],"at":[149],"CCD-level":[150],"(i)":[152],"provides":[153],"uniform":[155],"interface":[156],"both":[158],"inter-query":[159],"parallel":[160,165],"HNSW":[161],"intra-query":[164],"IVF":[166],"(ii)":[168],"achieves":[169],"cache-friendly":[170],"workload-adaptive":[172],"mapping":[173],"task":[175,181],"dispatching,":[176],"(iii)":[178],"employs":[179],"CCD-aware":[180],"stealing":[182],"to":[183,188,205],"address":[184],"load":[185],"imbalance.":[186],"Applied":[187],"real":[189],"workloads":[191],"recommendation,":[194],"Xiaohongshu":[199],"(RedNote),":[200],"approach":[202],"delivers":[203],"up":[204],"3.7x":[206],"higher":[207],"30-90%":[210],"reductions":[211],"P50":[213],"P999":[215],"latency.":[216],"In":[217],"detail,":[218],"compared":[219],"with":[220],"original":[222],"framework,":[223],"cache-miss":[225],"ratio":[226],"decreases":[227],"6-30%,":[229],"total":[232],"stall":[234],"is":[235],"reduced":[236],"20-80%.":[238]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-13T00:00:00"}