{"id":"https://openalex.org/W3008730189","doi":"https://doi.org/10.1145/3373087.3375359","title":"QTAccel","display_name":"QTAccel","publication_year":2020,"publication_date":"2020-02-23","ids":{"openalex":"https://openalex.org/W3008730189","doi":"https://doi.org/10.1145/3373087.3375359","mag":"3008730189"},"language":"en","primary_location":{"id":"doi:10.1145/3373087.3375359","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373087.3375359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","raw_type":"proceedings-article"},"type":"article","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/A5005448514","display_name":"Rachit Rajat","orcid":"https://orcid.org/0009-0005-6430-1819"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rachit Rajat","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050528589","display_name":"Yuan Meng","orcid":"https://orcid.org/0000-0001-6468-8623"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan Meng","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015036207","display_name":"Sanmukh R. Kuppannagari","orcid":"https://orcid.org/0000-0002-2062-1483"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanmukh Kuppannagari","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002594174","display_name":"Ajitesh Srivastava","orcid":"https://orcid.org/0000-0002-8706-5717"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ajitesh Srivastava","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033166029","display_name":"Viktor K. Prasanna","orcid":"https://orcid.org/0000-0002-1609-8589"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Viktor Prasanna","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042560222","display_name":"Rajgopal Kannan","orcid":"https://orcid.org/0000-0001-8736-3012"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajgopal Kannan","raw_affiliation_strings":["US Army Research Lab, Adelphi, MD, USA"],"affiliations":[{"raw_affiliation_string":"US Army Research Lab, Adelphi, MD, USA","institution_ids":["https://openalex.org/I166416128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5005448514"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":1.0771,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79173102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"323","last_page":"323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9682999849319458,"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"}},{"id":"https://openalex.org/T10142","display_name":"Formal Methods in Verification","score":0.9394999742507935,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/computer-science","display_name":"Computer science","score":0.7887470722198486},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7552779316902161},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6534215211868286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5749189853668213},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5580903887748718},{"id":"https://openalex.org/keywords/lookup-table","display_name":"Lookup table","score":0.5494361519813538},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.5355785489082336},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49451491236686707},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.47332605719566345},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4503532648086548},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.43359941244125366},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.15494590997695923},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.10079440474510193},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09834039211273193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08537974953651428}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7887470722198486},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7552779316902161},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6534215211868286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5749189853668213},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5580903887748718},{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.5494361519813538},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.5355785489082336},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49451491236686707},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.47332605719566345},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4503532648086548},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.43359941244125366},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.15494590997695923},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.10079440474510193},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09834039211273193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08537974953651428},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3373087.3375359","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373087.3375359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5705612724","display_name":null,"funder_award_id":"OAC-1911229, CNS-1643351","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2117300767","https://openalex.org/W2024574431","https://openalex.org/W2374017528","https://openalex.org/W4285503609","https://openalex.org/W2126248441","https://openalex.org/W4225571923","https://openalex.org/W3212257828","https://openalex.org/W4297873223","https://openalex.org/W2350784623","https://openalex.org/W2126211886"],"abstract_inverted_index":{"Q-Table":[0,77],"based":[1,38],"Reinforcement":[2],"Learning":[3],"(QRL)":[4],"is":[5,44],"a":[6,31,92,105,126,188],"class":[7,107],"of":[8,21,26,69,96,108,128,137,168,191],"widely":[9],"used":[10],"algorithms":[11,181],"in":[12,30,51],"AI":[13,49,109],"that":[14,132,184],"work":[15],"by":[16,143],"successively":[17],"improving":[18],"the":[19,41,75,151,163,169],"estimates":[20],"Q":[22,145,196],"values":[23],"--":[24],"quality":[25],"state-action":[27],"pairs,":[28],"stored":[29],"table.":[32],"They":[33],"significantly":[34,119],"outperform":[35],"Neural":[36],"Network":[37],"techniques":[39],"when":[40],"state":[42,78,101],"space":[43],"tractable.":[45],"Fast":[46],"learning":[47],"for":[48,84,177],"applications":[50],"several":[52],"domains":[53],"(e.g.":[54],"robotics),":[55],"with":[56,74],"tractable":[57],"'mid-sized'":[58],"Q-tables,":[59],"still":[60],"necessitates":[61],"performing":[62],"substantial":[63],"rapid":[64],"updates.":[65],"State-of-the-art":[66],"FPGA":[67,94,166],"implementations":[68],"QRL":[70],"do":[71],"not":[72,82],"scale":[73],"increasing":[76],"space,":[79],"thus":[80],"are":[81,148],"efficient":[83],"such":[85],"applications.":[86,110],"In":[87],"this":[88],"work,":[89],"we":[90,161],"develop":[91],"novel":[93],"implementation":[95,167],"QRL,":[97],"scalable":[98],"to":[99,153,193],"large":[100,106],"spaces":[102],"and":[103,123,135,179,182],"facilitating":[104],"Our":[111],"pipelined":[112],"architecture":[113,176],"provides":[114],"higher":[115],"throughput":[116,190],"while":[117],"using":[118],"fewer":[120],"on-chip":[121],"resources":[122],"thereby":[124],"supports":[125],"variety":[127],"action":[129],"selection":[130],"policies":[131],"covers":[133],"Q-Learning":[134,178],"variations":[136],"bandit":[138],"algorithms.":[139],"Possible":[140],"dependencies":[141],"caused":[142],"consecutive":[144],"value":[146],"updates":[147],"handled,":[149],"allowing":[150],"design":[152],"process":[154],"one":[155],"Q-sample":[156],"every":[157],"clock":[158],"cycle.":[159],"Additionally,":[160],"provide":[162],"first":[164],"known":[165],"SARSA":[170,180],"(State-Action-Reward-State-Action)":[171],"algorithm.":[172],"We":[173],"evaluate":[174],"our":[175,185],"show":[183],"designs":[186],"achieve":[187],"high":[189],"up":[192],"180":[194],"million":[195],"samples":[197],"per":[198],"second.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-03-06T00:00:00"}