{"id":"https://openalex.org/W3113937871","doi":"https://doi.org/10.1145/3427377","title":"Bayesian Optimization for Efficient Accelerator Synthesis","display_name":"Bayesian Optimization for Efficient Accelerator Synthesis","publication_year":2020,"publication_date":"2020-12-30","ids":{"openalex":"https://openalex.org/W3113937871","doi":"https://doi.org/10.1145/3427377","mag":"3113937871"},"language":"en","primary_location":{"id":"doi:10.1145/3427377","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3427377","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3427377","source":{"id":"https://openalex.org/S26056741","display_name":"ACM Transactions on Architecture and Code Optimization","issn_l":"1544-3566","issn":["1544-3566","1544-3973"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Architecture and Code Optimization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3427377","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004696082","display_name":"Atefeh Mehrabi","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Atefeh Mehrabi","raw_affiliation_strings":["Duke University, Durham, NC"],"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031504314","display_name":"Aninda Manocha","orcid":"https://orcid.org/0000-0002-0764-0778"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aninda Manocha","raw_affiliation_strings":["Princeton University"],"affiliations":[{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003811456","display_name":"Benjamin C. Lee","orcid":"https://orcid.org/0000-0003-4472-6375"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin C. Lee","raw_affiliation_strings":["University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072847774","display_name":"Daniel J. Sorin","orcid":"https://orcid.org/0000-0001-7013-8986"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel J. Sorin","raw_affiliation_strings":["Duke University, Durham, NC"],"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004696082"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":2.3572,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89073735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"18","issue":"1","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9994000196456909,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9994000196456909,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9983000159263611,"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/computer-science","display_name":"Computer science","score":0.8132516145706177},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.6804578304290771},{"id":"https://openalex.org/keywords/high-level-synthesis","display_name":"High-level synthesis","score":0.5159890651702881},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.48355457186698914},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.44433918595314026},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4188006818294525},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.41582635045051575},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3928028345108032},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.38929983973503113},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.36906325817108154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1827278435230255},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.0875822901725769}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8132516145706177},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.6804578304290771},{"id":"https://openalex.org/C58013763","wikidata":"https://www.wikidata.org/wiki/Q5754574","display_name":"High-level synthesis","level":3,"score":0.5159890651702881},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.48355457186698914},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.44433918595314026},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4188006818294525},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.41582635045051575},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3928028345108032},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.38929983973503113},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.36906325817108154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1827278435230255},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0875822901725769},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3427377","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3427377","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3427377","source":{"id":"https://openalex.org/S26056741","display_name":"ACM Transactions on Architecture and Code Optimization","issn_l":"1544-3566","issn":["1544-3566","1544-3973"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Architecture and Code Optimization","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3427377","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3427377","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3427377","source":{"id":"https://openalex.org/S26056741","display_name":"ACM Transactions on Architecture and Code Optimization","issn_l":"1544-3566","issn":["1544-3566","1544-3973"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Architecture and Code Optimization","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G2578979242","display_name":"XPS: CLCCA: Allocating Heterogeneous Datacenter Hardware to Strategic Agents","funder_award_id":"1337215","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3019499424","display_name":null,"funder_award_id":"CCF-1149252","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3021408758","display_name":"SHF: Small: Coalitional Game Theory for Co-Locating Software on Shared Hardware","funder_award_id":"1527610","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3858636963","display_name":null,"funder_award_id":"CCF-1337215","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5369666075","display_name":null,"funder_award_id":"AF-1408784","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7476950168","display_name":"CAREER: Foundations for Heterogeneous Datacenter Design and Deployment","funder_award_id":"1149252","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7494066774","display_name":"AF: Medium: Collaborative Research: Multi-dimensional Scheduling and Resource Allocation in Data Centers","funder_award_id":"1408784","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7580346225","display_name":null,"funder_award_id":"SHF-1527610","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"},{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3113937871.pdf","grobid_xml":"https://content.openalex.org/works/W3113937871.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1490783972","https://openalex.org/W1964978749","https://openalex.org/W1970392525","https://openalex.org/W1986697600","https://openalex.org/W1997113918","https://openalex.org/W2024540609","https://openalex.org/W2035286849","https://openalex.org/W2105853930","https://openalex.org/W2112085716","https://openalex.org/W2112096947","https://openalex.org/W2112912151","https://openalex.org/W2123412205","https://openalex.org/W2125763038","https://openalex.org/W2126105956","https://openalex.org/W2130096537","https://openalex.org/W2133156997","https://openalex.org/W2138209363","https://openalex.org/W2147657366","https://openalex.org/W2147770312","https://openalex.org/W2147943147","https://openalex.org/W2154327203","https://openalex.org/W2161381500","https://openalex.org/W2162385899","https://openalex.org/W2166029537","https://openalex.org/W2168361773","https://openalex.org/W2192203593","https://openalex.org/W2343695530","https://openalex.org/W2345438070","https://openalex.org/W2398354748","https://openalex.org/W2405102949","https://openalex.org/W2406293284","https://openalex.org/W2515406844","https://openalex.org/W2521149585","https://openalex.org/W2539164723","https://openalex.org/W2555473955","https://openalex.org/W2567660513","https://openalex.org/W2600687292","https://openalex.org/W2774970068","https://openalex.org/W2783614532","https://openalex.org/W2962724414","https://openalex.org/W2998993395","https://openalex.org/W3004531124","https://openalex.org/W3016437566","https://openalex.org/W3122749996","https://openalex.org/W4238900640","https://openalex.org/W6713184358"],"related_works":["https://openalex.org/W2000188956","https://openalex.org/W1604320855","https://openalex.org/W2185500718","https://openalex.org/W2295680811","https://openalex.org/W4281757109","https://openalex.org/W2997602288","https://openalex.org/W1732210391","https://openalex.org/W4295855328","https://openalex.org/W3147787617","https://openalex.org/W3191403452"],"abstract_inverted_index":{"Accelerator":[0],"design":[1,46],"is":[2],"expensive":[3],"due":[4],"to":[5,9,22,62,91,95],"the":[6,15],"effort":[7,47],"required":[8],"understand":[10],"an":[11,53],"algorithm":[12],"and":[13,69],"optimize":[14,63],"design.":[16],"Architects":[17],"have":[18],"embraced":[19],"two":[20],"technologies":[21],"reduce":[23,45],"costs.":[24],"High-level":[25],"synthesis":[26,64],"automatically":[27],"generates":[28],"hardware":[29],"from":[30],"code.":[31],"Reconfigurable":[32],"fabrics":[33],"instantiate":[34],"accelerators":[35],"while":[36],"avoiding":[37],"fabrication":[38],"costs":[39],"for":[40,102],"custom":[41],"circuits.":[42],"We":[43,51,76],"further":[44],"with":[48],"statistical":[49],"learning.":[50],"build":[52],"automated":[54],"framework,":[55],"called":[56],"Prospector,":[57],"that":[58,84],"uses":[59],"Bayesian":[60],"techniques":[61],"directives,":[65],"reducing":[66],"execution":[67],"latency":[68],"resource":[70],"usage":[71],"in":[72,78],"field-programmable":[73],"gate":[74],"arrays.":[75],"show":[77],"a":[79],"certain":[80],"amount":[81],"of":[82],"time":[83],"designs":[85,93],"discovered":[86],"by":[87],"Prospector":[88,98],"are":[89],"closer":[90],"Pareto-efficient":[92],"compared":[94],"prior":[96],"approaches.":[97],"permits":[99],"new":[100],"studies":[101],"heterogeneous":[103],"accelerators.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
