{"id":"https://openalex.org/W7166865560","doi":"https://doi.org/10.48550/arxiv.2606.31554","title":"In-situ Indexing via Memristive Content-Addressable Memory","display_name":"In-situ Indexing via Memristive Content-Addressable Memory","publication_year":2026,"publication_date":"2026-06-30","ids":{"openalex":"https://openalex.org/W7166865560","doi":"https://doi.org/10.48550/arxiv.2606.31554"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.31554","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.31554","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.2606.31554","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139759244","display_name":"Bing Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Bing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008340821","display_name":"Xueliang Wei","orcid":"https://orcid.org/0000-0003-3571-1702"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Xueliang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139732496","display_name":"Shiyi Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Shiyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139735073","display_name":"Yibo Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yibo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139831698","display_name":"Jinpeng Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jinpeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139811601","display_name":"Wei Tong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tong, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079369270","display_name":"Hao Tong","orcid":"https://orcid.org/0000-0002-8379-543X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tong, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139803624","display_name":"Yuchong Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Yuchong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139734526","display_name":"Dan Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Dan","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/T12326","display_name":"Network Packet Processing and Optimization","score":0.7365000247955322,"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"}},"topics":[{"id":"https://openalex.org/T12326","display_name":"Network Packet Processing and Optimization","score":0.7365000247955322,"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"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.07020000368356705,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.02239999920129776,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7964000105857849},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7102000117301941},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.660099983215332},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5480999946594238},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.41609999537467957},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4108999967575073},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.3889999985694885},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.3752000033855438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.809499979019165},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7964000105857849},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7102000117301941},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.660099983215332},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5480999946594238},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.45399999618530273},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.41609999537467957},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4108999967575073},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.3889999985694885},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.3752000033855438},{"id":"https://openalex.org/C74426580","wikidata":"https://www.wikidata.org/wiki/Q719484","display_name":"Memory map","level":3,"score":0.35199999809265137},{"id":"https://openalex.org/C82687282","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Auxiliary memory","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C2781357197","wikidata":"https://www.wikidata.org/wiki/Q5757597","display_name":"High memory","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3037000000476837},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C63511323","wikidata":"https://www.wikidata.org/wiki/Q908936","display_name":"Interleaved memory","level":4,"score":0.28209999203681946},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.265500009059906},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.2574999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.31554","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.31554","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.2606.31554","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.31554","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":{"Processing-in-Memory":[0],"(PIM)":[1],"is":[2,15],"a":[3,85,151],"proven":[4],"paradigm":[5],"for":[6,154],"overcoming":[7],"the":[8,47,59,93,119],"``memory":[9],"wall\".":[10],"However,":[11],"while":[12],"data":[13],"indexing":[14,26,39,61],"severely":[16],"bottlenecked":[17],"by":[18,45],"this":[19,43],"same":[20],"wall,":[21],"it":[22],"remains":[23],"unclear":[24],"how":[25,90],"can":[27],"effectively":[28],"benefit":[29],"from":[30],"PIM's":[31],"unique":[32],"capabilities.":[33],"We":[34],"present":[35],"PATH,":[36],"an":[37],"in-situ":[38,72],"architecture":[40],"that":[41],"bridges":[42],"gap":[44],"leveraging":[46],"massive":[48],"parallelism":[49],"and":[50,67,101,113,125,143],"inherent":[51,94],"data-movement":[52],"of":[53,121],"PIMs.":[54],"Specifically,":[55],"we":[56,88],"first":[57],"reformulate":[58],"fundamental":[60],"operations,":[62],"namely":[63],"Insert,":[64],"Search,":[65],"Update,":[66],"Delete,":[68],"into":[69],"highly":[70],"parallel":[71],"content-addressable":[73],"memory":[74,79,97,146],"operations":[75],"executed":[76],"directly":[77],"within":[78],"arrays.":[80],"Taking":[81],"hash":[82,122],"indexes":[83],"as":[84],"typical":[86],"case,":[87],"elaborate":[89],"PATH":[91,116,134],"breaks":[92],"trade-off":[95],"among":[96],"accesses,":[98],"load":[99],"factor,":[100],"process":[102],"latency":[103],"in":[104],"conventional":[105],"hashing":[106],"schemes.":[107],"By":[108],"adopting":[109],"ultra-large":[110],"logical":[111],"buckets":[112],"in-memory":[114],"moving,":[115],"virtually":[117],"eliminates":[118],"cost":[120],"collision":[123],"resolution":[124],"significantly":[126],"reduces":[127],"resizing":[128],"overhead.":[129],"Compared":[130],"with":[131],"state-of-the-art":[132],"schemes,":[133],"achieves":[135],"$4.7-7.8\\times$":[136],"higher":[137],"throughput,":[138],"$&gt;14.5\\times$":[139],"lower":[140],"tail":[141],"latency,":[142],"$&gt;61.4\\%$":[144],"fewer":[145],"accesses":[147],"under":[148],"insertions,":[149],"laying":[150],"scalable":[152],"foundation":[153],"next-generation":[155],"data-centric":[156],"computing.":[157]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-02T00:00:00"}
