{"id":"https://openalex.org/W4399723139","doi":"https://doi.org/10.1145/3665283.3665287","title":"Learned Index Acceleration with FPGAs: A SMART Approach","display_name":"Learned Index Acceleration with FPGAs: A SMART Approach","publication_year":2024,"publication_date":"2024-06-17","ids":{"openalex":"https://openalex.org/W4399723139","doi":"https://doi.org/10.1145/3665283.3665287"},"language":"en","primary_location":{"id":"doi:10.1145/3665283.3665287","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3665283.3665287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART 24))","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099159552","display_name":"Geetesh More","orcid":"https://orcid.org/0009-0005-2925-1369"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Geetesh More","raw_affiliation_strings":["University of New Brunswick, Canada"],"raw_orcid":"https://orcid.org/0009-0005-2925-1369","affiliations":[{"raw_affiliation_string":"University of New Brunswick, Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009118014","display_name":"Suprio Ray","orcid":"https://orcid.org/0000-0003-0681-9685"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Suprio Ray","raw_affiliation_strings":["University of New Brunswick, Canada"],"raw_orcid":"https://orcid.org/0000-0003-0681-9685","affiliations":[{"raw_affiliation_string":"University of New Brunswick, Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067605823","display_name":"Kenneth B. Kent","orcid":"https://orcid.org/0000-0003-2764-823X"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kenneth B. Kent","raw_affiliation_strings":["University of New Brunswick, Canada"],"raw_orcid":"https://orcid.org/0000-0003-2764-823X","affiliations":[{"raw_affiliation_string":"University of New Brunswick, Canada","institution_ids":["https://openalex.org/I106938459"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I106938459"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998000264167786,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.995199978351593,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.803520143032074},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7150108218193054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6370936036109924},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5695351362228394},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4236280024051666},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3239113986492157},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09611615538597107},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08901095390319824}],"concepts":[{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.803520143032074},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7150108218193054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6370936036109924},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5695351362228394},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4236280024051666},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3239113986492157},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09611615538597107},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08901095390319824},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3665283.3665287","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3665283.3665287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART 24))","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2029462338","https://openalex.org/W2068739275","https://openalex.org/W2083808644","https://openalex.org/W2109906716","https://openalex.org/W2948233700","https://openalex.org/W2949543413","https://openalex.org/W2962771342","https://openalex.org/W2979531022","https://openalex.org/W3033065823","https://openalex.org/W3043363332","https://openalex.org/W3121516856","https://openalex.org/W4200168300","https://openalex.org/W4280592298"],"related_works":["https://openalex.org/W2111241003","https://openalex.org/W2355315220","https://openalex.org/W4200391368","https://openalex.org/W2096844293","https://openalex.org/W2363944576","https://openalex.org/W2351041855","https://openalex.org/W2570254841","https://openalex.org/W1967938402","https://openalex.org/W2386041993","https://openalex.org/W1608572506"],"abstract_inverted_index":{"Indexes":[0],"in":[1],"database":[2],"systems":[3],"such":[4,59],"as":[5,26,209],"B+trees":[6],"and":[7,24,104,122,152],"hash":[8],"tables":[9],"are":[10,17],"designed":[11],"for":[12,138],"fast":[13],"data":[14,172],"retrieval.":[15],"These":[16],"created":[18],"on":[19,39,47,92,175,216],"columns":[20],"of":[21,36,61,118,142,159,206],"a":[22,27,31,37,40,97,111,146,149,189,212],"table":[23],"serve":[25],"pointer":[28],"to":[29,33,50,211],"map":[30],"key":[32],"the":[34,51,84,88,93,116,119,128,156,166,171,176,182,217],"position":[35],"record":[38],"table.":[41],"Much":[42],"research":[43],"has":[44],"been":[45],"conducted":[46],"topics":[48],"related":[49],"faster":[52],"index.":[53],"A":[54],"learned":[55,79,120,143,186],"index":[56,64,121,160,187,215],"is":[57,81,126],"one":[58],"area":[60],"study.":[62],"Learned":[63],"approaches":[65],"can":[66],"achieve":[67],"significant":[68],"performance":[69,77],"improvement":[70],"over":[71],"traditional":[72],"indexing":[73],"techniques.":[74],"However,":[75],"query":[76],"with":[78,135],"indexes":[80],"limited":[82],"by":[83,87,100],"constraints":[85],"imposed":[86],"CPU":[89,150],"architecture.":[90],"FPGAs,":[91],"other":[94],"hand,":[95],"offer":[96],"suitable":[98],"alternative":[99],"offering":[101],"energy":[102],"efficiency":[103],"potentially":[105],"better":[106],"performance.":[107],"This":[108,124],"paper":[109],"proposes":[110],"new":[112],"methodology":[113,125],"that":[114],"considers":[115],"advantages":[117],"FPGAs.":[123],"called":[127,200],"Selective":[129],"Mathematical":[130],"Operation":[131],"AcceleRaTion":[132],"(SMART)":[133],"approach":[134,151,180],"an":[136,139,153,203],"FPGA":[137,154,191],"end-to-end":[140],"acceleration":[141,161],"indexes.":[144],"Being":[145],"hybrid":[147],"between":[148],"approach,":[155],"SMART":[157,179],"model":[158],"achieves":[162,202],"higher":[163],"throughput":[164],"than":[165],"CPU-based":[167,213],"implementation":[168],"while":[169],"maintaining":[170],"structure":[173],"storage":[174],"CPU.":[177],"Our":[178],"accelerated":[181],"radix":[183],"spline":[184],"(RS)":[185],"using":[188],"single":[190],"without":[192],"any":[193],"off-chip":[194],"memory":[195],"resources.":[196],"The":[197],"resulting":[198],"index,":[199],"SMART-RS,":[201],"overall":[204],"speedup":[205],"5.5":[207],"\u00d7":[208],"compared":[210],"RS":[214],"SOSD":[218],"benchmark":[219],"datasets.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}