{"id":"https://openalex.org/W2744447955","doi":"https://doi.org/10.1109/jssc.2017.2731814","title":"Energy-Efficient Reconfigurable SRAM: Reducing Read Power Through Data Statistics","display_name":"Energy-Efficient Reconfigurable SRAM: Reducing Read Power Through Data Statistics","publication_year":2017,"publication_date":"2017-08-10","ids":{"openalex":"https://openalex.org/W2744447955","doi":"https://doi.org/10.1109/jssc.2017.2731814","mag":"2744447955"},"language":"en","primary_location":{"id":"doi:10.1109/jssc.2017.2731814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jssc.2017.2731814","pdf_url":null,"source":{"id":"https://openalex.org/S83637746","display_name":"IEEE Journal of Solid-State Circuits","issn_l":"0018-9200","issn":["0018-9200","1558-173X"],"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 Journal of Solid-State Circuits","raw_type":"journal-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/A5048529767","display_name":"Chuhong Duan","orcid":"https://orcid.org/0000-0003-1965-7283"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I74760111","display_name":"Texas Instruments (United States)","ror":"https://ror.org/03vsmv677","country_code":"US","type":"company","lineage":["https://openalex.org/I74760111"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuhong Duan","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA, USA","Texas Instruments, Dallas, TX, USA"],"raw_orcid":"https://orcid.org/0000-0003-1965-7283","affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Texas Instruments, Dallas, TX, USA","institution_ids":["https://openalex.org/I74760111"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053846531","display_name":"Andreas J. Gotterba","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreas J. Gotterba","raw_affiliation_strings":["NVIDIA, Santa Clara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033053368","display_name":"Mahmut E. Sinangil","orcid":"https://orcid.org/0000-0001-8955-3100"},"institutions":[{"id":"https://openalex.org/I1334877674","display_name":"Taiwan Semiconductor Manufacturing Company (United States)","ror":"https://ror.org/02rvfjx92","country_code":"US","type":"company","lineage":["https://openalex.org/I1334877674","https://openalex.org/I4210120917"]},{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahmut E. Sinangil","raw_affiliation_strings":["NVIDIA, Santa Clara, CA, USA","TSMC North America, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"TSMC North America, San Jose, CA, USA","institution_ids":["https://openalex.org/I1334877674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084128470","display_name":"Anantha P. Chandrakasan","orcid":"https://orcid.org/0000-0002-5977-2748"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anantha P. Chandrakasan","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8448,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.75351611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"52","issue":"10","first_page":"2703","last_page":"2711"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","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/T10363","display_name":"Low-power high-performance VLSI design","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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9995999932289124,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/static-random-access-memory","display_name":"Static random-access memory","score":0.8814705610275269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6686277985572815},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5111096501350403},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.4754638075828552},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4749032258987427},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4512152671813965},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.45044979453086853},{"id":"https://openalex.org/keywords/dynamic-demand","display_name":"Dynamic demand","score":0.4225137233734131},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.412638783454895},{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.411638081073761},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.361835241317749},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3333374857902527},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3297756612300873},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19523438811302185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15136632323265076},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.11169132590293884},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10666030645370483}],"concepts":[{"id":"https://openalex.org/C68043766","wikidata":"https://www.wikidata.org/wiki/Q267416","display_name":"Static random-access memory","level":2,"score":0.8814705610275269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6686277985572815},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5111096501350403},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.4754638075828552},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4749032258987427},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4512152671813965},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.45044979453086853},{"id":"https://openalex.org/C45872418","wikidata":"https://www.wikidata.org/wiki/Q5318966","display_name":"Dynamic demand","level":3,"score":0.4225137233734131},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.412638783454895},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.411638081073761},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.361835241317749},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3333374857902527},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3297756612300873},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19523438811302185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15136632323265076},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.11169132590293884},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10666030645370483},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/jssc.2017.2731814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jssc.2017.2731814","pdf_url":null,"source":{"id":"https://openalex.org/S83637746","display_name":"IEEE Journal of Solid-State Circuits","issn_l":"0018-9200","issn":["0018-9200","1558-173X"],"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 Journal of Solid-State Circuits","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1982871476","https://openalex.org/W1990990765","https://openalex.org/W2045074698","https://openalex.org/W2046420845","https://openalex.org/W2053252597","https://openalex.org/W2060513832","https://openalex.org/W2080315717","https://openalex.org/W2119472374","https://openalex.org/W2130218323","https://openalex.org/W2138207765","https://openalex.org/W2146437305","https://openalex.org/W2168736941","https://openalex.org/W2171894735","https://openalex.org/W2253472809","https://openalex.org/W2340610004","https://openalex.org/W2537907952","https://openalex.org/W2586192150","https://openalex.org/W2587227510","https://openalex.org/W4239788823","https://openalex.org/W4256485690","https://openalex.org/W6648229122","https://openalex.org/W6703796838","https://openalex.org/W6728536133"],"related_works":["https://openalex.org/W3151633427","https://openalex.org/W2212894501","https://openalex.org/W2793465010","https://openalex.org/W3024050170","https://openalex.org/W2119025037","https://openalex.org/W2662219006","https://openalex.org/W2519754576","https://openalex.org/W2054451883","https://openalex.org/W3022464115","https://openalex.org/W3092470009"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,33,42,71,76,82],"framework":[4],"for":[5,59,98,121,125],"designing":[6],"data-dependent":[7],"SRAMs":[8],"taking":[9],"advantage":[10],"of":[11,26,91,129],"statistical":[12],"dependencies":[13],"present":[14],"in":[15,22,41,81],"the":[16,23,31,53,63,88,99,126],"binary":[17],"values":[18],"processed":[19],"and":[20,75,94,107],"stored":[21],"intermediary":[24],"stages":[25],"various":[27],"algorithms.":[28],"To":[29,48],"demonstrate":[30,87],"framework,":[32],"reconfigurable":[34],"conditional":[35],"precharge":[36],"(CP)":[37],"SRAM":[38,54,84],"is":[39],"designed":[40],"28-nm":[43],"fully-depleted":[44],"silicon-on-insulator":[45],"CMOS":[46],"process.":[47],"reduce":[49],"read":[50],"power":[51,89],"consumption,":[52],"reconfigures":[55],"its":[56],"prediction":[57,123],"scheme":[58],"each":[60],"column":[61,78],"as":[62,111],"data":[64],"statistics":[65],"evolve.":[66],"A":[67],"10T":[68],"bit":[69],"cell,":[70],"prediction-based":[72],"CP":[73],"circuit,":[74],"compact":[77],"circuit":[79],"implemented":[80],"16-kbit":[83],"test":[85],"chip":[86],"savings":[90],"63%,":[92],"50%,":[93],"up":[95],"to":[96],"69%":[97],"applications":[100],"sparse":[101],"fast":[102],"Fourier":[103],"transform,":[104],"object":[105],"detection,":[106],"motion":[108],"estimation,":[109],"respectively,":[110],"compared":[112],"with":[113,116],"similar":[114],"memories":[115,131],"naive":[117],"prediction.":[118],"Analysis":[119],"tools":[120],"optimal":[122],"selection":[124],"presented":[127],"class":[128],"low-power":[130],"are":[132],"also":[133],"provided.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
