{"id":"https://openalex.org/W3168929403","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443272","title":"VLSI Hardware Architecture for Gaussian Process","display_name":"VLSI Hardware Architecture for Gaussian Process","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3168929403","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443272","mag":"3168929403"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","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/A5102883458","display_name":"Chunhua Deng","orcid":"https://orcid.org/0000-0002-0258-0155"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Chunhua Deng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rutgers University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101119794","display_name":"Yongbin Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Yongbin Gong","raw_affiliation_strings":["Department of Mechanical and Aerospace, Rutgers University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace, Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102668439","display_name":"Feng Han","orcid":"https://orcid.org/0000-0002-2461-4897"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Feng Han","raw_affiliation_strings":["Department of Mechanical and Aerospace, Rutgers University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace, Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073101300","display_name":"Siyu Liao","orcid":"https://orcid.org/0000-0001-5709-3015"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Siyu Liao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rutgers University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090869394","display_name":"Jingang Yi","orcid":"https://orcid.org/0000-0003-0628-9098"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jingang Yi","raw_affiliation_strings":["Department of Mechanical and Aerospace, Rutgers University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace, Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026068788","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0003-0222-8095"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Bo Yuan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rutgers University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210096112"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"121","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9998999834060669,"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/T11236","display_name":"Control Systems and Identification","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9641000032424927,"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":0.7640829086303711},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6749957799911499},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.6641287803649902},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6339054703712463},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6156379580497742},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.6095532178878784},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.589316189289093},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5835723280906677},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5462519526481628},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.5215641856193542},{"id":"https://openalex.org/keywords/hardware-architecture","display_name":"Hardware architecture","score":0.5126597285270691},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4429188668727875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.429439902305603},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4202384948730469},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.41968628764152527},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.41019365191459656},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.35553407669067383},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.2826780378818512},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.23415464162826538},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1984664797782898},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.19052064418792725},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.1449551284313202},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12714436650276184}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7640829086303711},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6749957799911499},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.6641287803649902},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6339054703712463},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6156379580497742},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.6095532178878784},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.589316189289093},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5835723280906677},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5462519526481628},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.5215641856193542},{"id":"https://openalex.org/C65232700","wikidata":"https://www.wikidata.org/wiki/Q5656403","display_name":"Hardware architecture","level":3,"score":0.5126597285270691},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4429188668727875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.429439902305603},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4202384948730469},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.41968628764152527},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.41019365191459656},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.35553407669067383},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2826780378818512},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.23415464162826538},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1984664797782898},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.19052064418792725},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.1449551284313202},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12714436650276184},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"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":11,"referenced_works":["https://openalex.org/W1571870753","https://openalex.org/W2010315317","https://openalex.org/W2015700462","https://openalex.org/W2097412577","https://openalex.org/W2107971525","https://openalex.org/W2114837249","https://openalex.org/W2142441514","https://openalex.org/W2149352206","https://openalex.org/W2166063021","https://openalex.org/W4302564868","https://openalex.org/W6684451488"],"related_works":["https://openalex.org/W4383503138","https://openalex.org/W3131592046","https://openalex.org/W3214999411","https://openalex.org/W4391536292","https://openalex.org/W3170442433","https://openalex.org/W2010977501","https://openalex.org/W2009779270","https://openalex.org/W3152699334","https://openalex.org/W1574919220","https://openalex.org/W4319952061"],"abstract_inverted_index":{"Gaussian":[0],"process":[1],"(GP)":[2],"is":[3,10,22,67,77],"a":[4],"popular":[5],"machine":[6],"learning":[7],"technique":[8],"that":[9,83],"widely":[11],"used":[12],"in":[13,18,41],"many":[14],"application":[15],"domains,":[16],"especially":[17],"robotics.":[19],"However,":[20],"GP":[21,54,61],"very":[23],"computation":[24],"intensive":[25],"and":[26,63],"time":[27],"consuming":[28],"during":[29],"the":[30,64,71,74,84,94],"inference":[31],"phase,":[32],"thereby":[33],"bringing":[34],"severe":[35],"challenges":[36],"for":[37,53,59,70],"its":[38],"large-scale":[39],"deployment":[40],"real-time":[42],"applications.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"propose":[48],"two":[49],"efficient":[50],"hardware":[51,86,90],"architecture":[52,57,66],"accelerator.":[55],"One":[56],"targets":[58],"general":[60],"inference,":[62],"other":[65],"specifically":[68],"optimized":[69],"scenario":[72],"when":[73],"data":[75],"point":[76],"gradually":[78],"observed.":[79],"Evaluation":[80],"results":[81],"show":[82],"proposed":[85],"accelerator":[87],"provides":[88],"significant":[89],"performance":[91],"improvement":[92],"than":[93],"general-purpose":[95],"computing":[96],"platform.":[97]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
