{"id":"https://openalex.org/W4389459236","doi":"https://doi.org/10.1109/tcsi.2023.3337529","title":"Probabilistic Compute-in-Memory Design for Efficient Markov Chain Monte Carlo Sampling","display_name":"Probabilistic Compute-in-Memory Design for Efficient Markov Chain Monte Carlo Sampling","publication_year":2023,"publication_date":"2023-12-07","ids":{"openalex":"https://openalex.org/W4389459236","doi":"https://doi.org/10.1109/tcsi.2023.3337529"},"language":"en","primary_location":{"id":"doi:10.1109/tcsi.2023.3337529","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tcsi.2023.3337529","pdf_url":"https://ieeexplore.ieee.org/ielx7/8919/4358591/10347275.pdf","source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems I: Regular Papers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/8919/4358591/10347275.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111088901","display_name":"Yihan Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yihan Fu","raw_affiliation_strings":["School of Integrated Circuits, Institute for Artificial Intelligence and the Beijing Advanced Innovation Center for Integrated Circuits, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Institute for Artificial Intelligence and the Beijing Advanced Innovation Center for Integrated Circuits, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101228787","display_name":"Daijing Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daijing Shi","raw_affiliation_strings":["School of Integrated Circuits, Institute for Artificial Intelligence and the Beijing Advanced Innovation Center for Integrated Circuits, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Institute for Artificial Intelligence and the Beijing Advanced Innovation Center for Integrated Circuits, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034445385","display_name":"Anjunyi Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anjunyi Fan","raw_affiliation_strings":["School of Integrated Circuits, Institute for Artificial Intelligence and the Beijing Advanced Innovation Center for Integrated Circuits, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Institute for Artificial Intelligence and the Beijing Advanced Innovation Center for Integrated Circuits, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070362924","display_name":"Wenshuo Yue","orcid":"https://orcid.org/0000-0002-4339-0489"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenshuo Yue","raw_affiliation_strings":["School of Integrated Circuits, Institute for Artificial Intelligence and the Beijing Advanced Innovation Center for Integrated Circuits, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Institute for Artificial Intelligence and the Beijing Advanced Innovation Center for Integrated Circuits, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057584787","display_name":"Yuchao Yang","orcid":"https://orcid.org/0000-0003-4674-4059"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210115644","display_name":"Chinese Institute for Brain Research","ror":"https://ror.org/029819q61","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210115644"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchao Yang","raw_affiliation_strings":["School of Integrated Circuits, Institute for Artificial Intelligence and the Beijing Advanced Innovation Center for Integrated Circuits, Peking University, Beijing, China","Chinese Institute for Brain Research (CIBR), Beijing, China","School of Electronic and Computer Engineering, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4674-4059","affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Institute for Artificial Intelligence and the Beijing Advanced Innovation Center for Integrated Circuits, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Chinese Institute for Brain Research (CIBR), Beijing, China","institution_ids":["https://openalex.org/I4210115644"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062886480","display_name":"Ru Huang","orcid":"https://orcid.org/0000-0002-8146-4821"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ru Huang","raw_affiliation_strings":["School of Integrated Circuits, Institute for Artificial Intelligence and the Beijing Advanced Innovation Center for Integrated Circuits, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Institute for Artificial Intelligence and the Beijing Advanced Innovation Center for Integrated Circuits, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043075091","display_name":"Bonan Yan","orcid":"https://orcid.org/0000-0002-3052-9330"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bonan Yan","raw_affiliation_strings":["School of Integrated Circuits, Institute for Artificial Intelligence and the Beijing Advanced Innovation Center for Integrated Circuits, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3052-9330","affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Institute for Artificial Intelligence and the Beijing Advanced Innovation Center for Integrated Circuits, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5111088901"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210100255"],"apc_list":null,"apc_paid":null,"fwci":0.6159,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68501761,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"71","issue":"2","first_page":"703","last_page":"716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9994999766349792,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.8130813241004944},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.603683352470398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5831106305122375},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5681488513946533},{"id":"https://openalex.org/keywords/static-random-access-memory","display_name":"Static random-access memory","score":0.5186718702316284},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5157433152198792},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46357280015945435},{"id":"https://openalex.org/keywords/exact-statistics","display_name":"Exact statistics","score":0.46156802773475647},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.43281662464141846},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.35270869731903076},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3274427056312561},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2603580355644226},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1530417799949646},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14041978120803833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1294456124305725},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.11619850993156433}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.8130813241004944},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.603683352470398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5831106305122375},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5681488513946533},{"id":"https://openalex.org/C68043766","wikidata":"https://www.wikidata.org/wiki/Q267416","display_name":"Static random-access memory","level":2,"score":0.5186718702316284},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5157433152198792},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46357280015945435},{"id":"https://openalex.org/C6239989","wikidata":"https://www.wikidata.org/wiki/Q5419224","display_name":"Exact statistics","level":3,"score":0.46156802773475647},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.43281662464141846},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.35270869731903076},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3274427056312561},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2603580355644226},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1530417799949646},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14041978120803833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1294456124305725},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.11619850993156433},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsi.2023.3337529","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tcsi.2023.3337529","pdf_url":"https://ieeexplore.ieee.org/ielx7/8919/4358591/10347275.pdf","source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems I: Regular Papers","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tcsi.2023.3337529","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tcsi.2023.3337529","pdf_url":"https://ieeexplore.ieee.org/ielx7/8919/4358591/10347275.pdf","source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems I: Regular Papers","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1070819543","display_name":null,"funder_award_id":"92064004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1474490597","display_name":null,"funder_award_id":"111 Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1953188521","display_name":null,"funder_award_id":"B18001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G229158256","display_name":null,"funder_award_id":"92264201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2390305753","display_name":null,"funder_award_id":"61927901","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G405280213","display_name":null,"funder_award_id":"92164302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4321923067","display_name":null,"funder_award_id":"61925401","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5911203862","display_name":null,"funder_award_id":"T2350006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5920648238","display_name":null,"funder_award_id":"92364102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6847781164","display_name":null,"funder_award_id":"B18001","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"}],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320334945","display_name":"Fok Ying Tong Education Foundation","ror":"https://ror.org/01mv9t934"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389459236.pdf","grobid_xml":"https://content.openalex.org/works/W4389459236.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1494192115","https://openalex.org/W1518236483","https://openalex.org/W1549853756","https://openalex.org/W1862926453","https://openalex.org/W1993781987","https://openalex.org/W2006071024","https://openalex.org/W2109458212","https://openalex.org/W2122646361","https://openalex.org/W2128938296","https://openalex.org/W2131833150","https://openalex.org/W2135194391","https://openalex.org/W2197817604","https://openalex.org/W2579601083","https://openalex.org/W2604319603","https://openalex.org/W2614637450","https://openalex.org/W2729070998","https://openalex.org/W2785141883","https://openalex.org/W2785369415","https://openalex.org/W2790511620","https://openalex.org/W2896627433","https://openalex.org/W2928320209","https://openalex.org/W2967433097","https://openalex.org/W2985727781","https://openalex.org/W3005253617","https://openalex.org/W3010276570","https://openalex.org/W3013080934","https://openalex.org/W3016014942","https://openalex.org/W3016021860","https://openalex.org/W3035965352","https://openalex.org/W3090581962","https://openalex.org/W3097655915","https://openalex.org/W3099878876","https://openalex.org/W3101788429","https://openalex.org/W3106324773","https://openalex.org/W3125908175","https://openalex.org/W3133754064","https://openalex.org/W3134526034","https://openalex.org/W4220990849","https://openalex.org/W4237780050","https://openalex.org/W4245305800","https://openalex.org/W4285065803","https://openalex.org/W4285219296","https://openalex.org/W4293261874","https://openalex.org/W4300672471","https://openalex.org/W4365138156","https://openalex.org/W6632854936","https://openalex.org/W6773991845","https://openalex.org/W6785915130"],"related_works":["https://openalex.org/W3151633427","https://openalex.org/W2212894501","https://openalex.org/W2793465010","https://openalex.org/W3024050170","https://openalex.org/W2151689585","https://openalex.org/W4293253840","https://openalex.org/W4378977321","https://openalex.org/W1976168335","https://openalex.org/W2380816257","https://openalex.org/W4308090481"],"abstract_inverted_index":{"Markov":[0],"chain":[1],"Monte":[2],"Carlo":[3],"(MCMC)":[4],"is":[5,105],"a":[6,38,45,57,66,82,102,119,130,145],"widely":[7],"used":[8],"sampling":[9],"method":[10,89],"in":[11,144],"modern":[12],"artificial":[13],"intelligence":[14],"and":[15,25,55,172],"probabilistic":[16,32],"computing":[17],"systems.":[18],"It":[19],"involves":[20],"repetitive":[21],"random":[22,68,75,95],"number":[23,69,76],"generations":[24],"thus":[26],"often":[27],"dominates":[28],"the":[29,135,184],"latency":[30],"of":[31,137,169,175],"model":[33],"computing.":[34],"Hence,":[35],"we":[36,64],"propose":[37],"compute-in-memory":[39],"(CIM)":[40],"based":[41,61],"MCMC":[42,153],"design":[43,88,154],"as":[44],"hardware":[46],"acceleration":[47],"solution.":[48],"This":[49],"work":[50,80,117],"investigates":[51],"SRAM":[52],"bitcell":[53],"stochasticity":[54],"proposes":[56,81],"novel":[58,83,120],"\u201cpseudo-read\u201d":[59],"operation,":[60],"on":[62],"which":[63],"offer":[65],"block-wise":[67],"generation":[70],"circuit":[71,123],"scheme":[72,124],"for":[73,140],"fast":[74],"generation.":[77],"Moreover,":[78],"this":[79,116,151],"multi-stage":[84],"exclusive-OR":[85],"gate":[86],"(MSXOR)":[87],"to":[90,125,177,181,195],"generate":[91],"strictly":[92],"uniformly":[93],"distributed":[94],"numbers.":[96],"The":[97],"probability":[98],"error":[99],"deviating":[100],"from":[101],"uniform":[103],"distribution":[104],"suppressed":[106],"under":[107],"<inline-formula":[108,157,189,196],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[109,158,190,197],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[110,159,191,198],"<tex-math":[111,160,192,199],"notation=\"LaTeX\">$10^{-6}$</tex-math>":[112],"</inline-formula>":[113,162,194,201],".":[114],"Also,":[115],"presents":[118],"in-memory":[121],"copy":[122,128],"realize":[126],"data":[127],"inside":[129],"CIM":[131],"sub-array,":[132],"significantly":[133],"reducing":[134],"use":[136],"R/W":[138],"circuits":[139],"power":[141],"saving.":[142],"Evaluated":[143],"commercial":[146],"28-nm":[147],"process":[148],"development":[149],"kit,":[150],"CIM-based":[152],"generates":[155],"4-bit":[156],"notation=\"LaTeX\">$\\sim$</tex-math>":[161],"32-bit":[163],"samples":[164],"with":[165],"an":[166],"energy":[167,186],"efficiency":[168,187],"0.53":[170],"pJ/sample":[171],"high":[173],"throughput":[174],"up":[176],"1066.7M":[178],"samples/s.":[179],"Compared":[180],"conventional":[182],"processors,":[183],"overall":[185],"improves":[188],"notation=\"LaTeX\">$2.12\\times10^{9}$</tex-math>":[193],"notation=\"LaTeX\">$9.58\\times10^{9}$</tex-math>":[200],"times.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}
