{"id":"https://openalex.org/W7162089291","doi":"https://doi.org/10.48550/arxiv.2605.21952","title":"NasZip: Software and Hardware Co-Design to Accelerate Approximate Nearest Neighbor Search with DIMM-Based Near-Data Processing","display_name":"NasZip: Software and Hardware Co-Design to Accelerate Approximate Nearest Neighbor Search with DIMM-Based Near-Data Processing","publication_year":2026,"publication_date":"2026-05-21","ids":{"openalex":"https://openalex.org/W7162089291","doi":"https://doi.org/10.48550/arxiv.2605.21952"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.21952","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.21952","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":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.2605.21952","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136730373","display_name":"Cheng Zou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zou, Cheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136752948","display_name":"Shuo Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Shuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136730053","display_name":"Chen Nie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nie, Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090610227","display_name":"Yu Zou","orcid":"https://orcid.org/0000-0002-4541-6638"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zou, Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136730110","display_name":"Yu He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136805220","display_name":"Chao Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Chao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136767786","display_name":"Limin Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Limin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136739979","display_name":"Weifeng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Weifeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5036755436","display_name":"Zhezhi He","orcid":"https://orcid.org/0000-0002-6357-236X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Zhezhi","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":0.2777999937534332,"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":0.2777999937534332,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.21860000491142273,"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":0.11630000174045563,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/instruction-prefetch","display_name":"Instruction prefetch","score":0.6341999769210815},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.5109000205993652},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.49390000104904175},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.42750000953674316},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4250999987125397},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4237000048160553},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4075999855995178},{"id":"https://openalex.org/keywords/memory-bandwidth","display_name":"Memory bandwidth","score":0.40220001339912415},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3833000063896179}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8592000007629395},{"id":"https://openalex.org/C133588205","wikidata":"https://www.wikidata.org/wiki/Q28455645","display_name":"Instruction prefetch","level":3,"score":0.6341999769210815},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.548799991607666},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.5109000205993652},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.49390000104904175},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.42750000953674316},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4250999987125397},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4237000048160553},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4075999855995178},{"id":"https://openalex.org/C188045654","wikidata":"https://www.wikidata.org/wiki/Q17148339","display_name":"Memory bandwidth","level":2,"score":0.40220001339912415},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3833000063896179},{"id":"https://openalex.org/C27602214","wikidata":"https://www.wikidata.org/wiki/Q1868547","display_name":"Locality of reference","level":3,"score":0.37299999594688416},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.3463999927043915},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.33809998631477356},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C144240696","wikidata":"https://www.wikidata.org/wiki/Q367204","display_name":"Address space","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.31049999594688416},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.30149999260902405},{"id":"https://openalex.org/C189783530","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"CPU cache","level":3,"score":0.28619998693466187},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28200000524520874},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2637999951839447},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.25220000743865967},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.21952","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.21952","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":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.2605.21952","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.21952","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":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":{"As":[0],"large":[1],"language":[2],"models":[3],"(LLMs)":[4],"continue":[5],"to":[6,24,38,54,76,91,144,216,231],"advance,":[7],"retrieval-augmented":[8],"generation":[9],"(RAG)":[10],"has":[11],"become":[12],"the":[13,85,92,173,232],"key":[14],"mechanism":[15],"for":[16,169],"expanding":[17],"model":[18],"knowledge":[19],"and":[20,66,141,190,203,223],"reducing":[21],"hallucinations.":[22],"Central":[23],"RAG":[25],"is":[26,48],"approximate":[27,145],"nearest":[28],"neighbor":[29,181,187],"search":[30],"(ANNS),":[31],"which":[32,95],"retrieves":[33],"database":[34],"vectors":[35,47],"most":[36],"similar":[37],"a":[39,108,119,159,178,196],"given":[40],"query.":[41],"However,":[42],"distance":[43,87],"calculation":[44],"over":[45,220],"high-dimensional":[46],"inherently":[49],"memory-bound,":[50],"causing":[51],"retrieval":[52,188],"performance":[53,99,241],"be":[55],"constrained":[56],"by":[57,80,125,195],"I/O":[58],"bandwidth":[59],"on":[60,135],"mainstream":[61],"platforms":[62],"such":[63],"as":[64],"CPUs":[65],"GPUs.":[67],"Although":[68],"many":[69],"prior":[70],"early":[71,122],"exiting":[72,123,152],"(EE)":[73],"techniques":[74],"attempt":[75],"reduce":[77],"memory":[78,167],"accesses":[79],"only":[81],"computing":[82],"partial":[83,86,136],"dimensions,":[84],"converges":[88],"too":[89],"slowly":[90],"EE":[93],"threshold,":[94],"ultimately":[96],"limits":[97],"their":[98],"gains.":[100],"To":[101],"address":[102],"these":[103,208],"challenges,":[104],"we":[105,176],"propose":[106],"NASZIP,":[107],"hardware-software":[109],"co-designed":[110],"framework":[111],"that":[112,164,185,199],"integrates":[113],"near":[114],"data":[115,179,201],"processing":[116],"(NDP)":[117],"with":[118],"novel":[120],"feature-level":[121],"guided":[124],"statistics-based":[126],"principal":[127],"component":[128],"analysis":[129],"(PCA).":[130],"Instead":[131],"of":[132,214],"relying":[133],"solely":[134],"distances,":[137],"NASZIP":[138,211,238],"incorporates":[139],"estimation":[140],"correction":[142],"parameters":[143],"full":[146],"dimensional":[147],"distances":[148],"accurately,":[149],"enabling":[150],"earlier":[151],"without":[153],"compromising":[154],"accuracy.":[155,229],"We":[156],"further":[157],"introduce":[158],"bit-level":[160],"NDP-aware":[161],"dynamic-float":[162],"scheme":[163],"significantly":[165],"reduces":[166,186],"access":[168],"vector":[170],"data.":[171],"On":[172],"hardware":[174],"side,":[175],"develop":[177],"aware":[180],"list":[182],"mapping":[183],"strategy":[184],"latency":[189],"inter-channel":[191],"communication":[192],"overhead,":[193],"complemented":[194],"dedicated":[197],"cache":[198],"exploits":[200],"locality":[202],"enhances":[204],"prefetch":[205],"efficiency.":[206],"With":[207],"co-optimized":[209],"techniques,":[210],"delivers":[212],"speedups":[213],"up":[215],"$8.4\\times$":[217],"/":[218],"$1.4\\times$":[219],"CPU":[221],"baseline":[222],"state-of-the-art":[224,233],"GPU":[225],"implementation":[226],"at":[227],"equal":[228],"Relative":[230],"NDP":[234],"ANNS":[235],"accelerator":[236],"ANSMET,":[237],"achieves":[239],"$1.69\\times$":[240],"improvement.":[242]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-23T00:00:00"}
