{"id":"https://openalex.org/W3105946578","doi":"https://doi.org/10.1109/tvlsi.2022.3170542","title":"Addressing Resiliency of In-Memory Floating Point Computation","display_name":"Addressing Resiliency of In-Memory Floating Point Computation","publication_year":2022,"publication_date":"2022-06-02","ids":{"openalex":"https://openalex.org/W3105946578","doi":"https://doi.org/10.1109/tvlsi.2022.3170542","mag":"3105946578"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2022.3170542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2022.3170542","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Very Large Scale Integration (VLSI) Systems","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/A5048205648","display_name":"Sina Sayyah Ensan","orcid":"https://orcid.org/0000-0003-3877-8603"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sina Sayyah Ensan","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085567454","display_name":"Swaroop Ghosh","orcid":"https://orcid.org/0000-0001-8753-490X"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Swaroop Ghosh","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030279311","display_name":"Seyedhamidreza Motaman","orcid":"https://orcid.org/0000-0003-4475-996X"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyedhamidreza Motaman","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010743932","display_name":"Derek Weast","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Derek Weast","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048205648"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.092,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37028754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"30","issue":"9","first_page":"1172","last_page":"1183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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":1.0,"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":0.9998000264167786,"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/T10472","display_name":"Semiconductor materials and devices","score":0.9987000226974487,"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/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.7464441061019897},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6466345191001892},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.576404333114624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5401579141616821},{"id":"https://openalex.org/keywords/von-neumann-architecture","display_name":"Von Neumann architecture","score":0.5387389063835144},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.35607966780662537},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3479219079017639},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.21029141545295715},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2068248987197876},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19634541869163513},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1145862340927124}],"concepts":[{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.7464441061019897},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6466345191001892},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.576404333114624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5401579141616821},{"id":"https://openalex.org/C80469333","wikidata":"https://www.wikidata.org/wiki/Q189088","display_name":"Von Neumann architecture","level":2,"score":0.5387389063835144},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.35607966780662537},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3479219079017639},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.21029141545295715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2068248987197876},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19634541869163513},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1145862340927124},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvlsi.2022.3170542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2022.3170542","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Very Large Scale Integration (VLSI) Systems","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":[{"id":"https://openalex.org/G3725772343","display_name":null,"funder_award_id":"CNS-1814710","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3988931964","display_name":null,"funder_award_id":"2847.001","funder_id":"https://openalex.org/F4320306087","funder_display_name":"Semiconductor Research Corporation"},{"id":"https://openalex.org/G4055785797","display_name":null,"funder_award_id":"CNS-1722557","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4101446553","display_name":null,"funder_award_id":"DGE-1723687","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6192966552","display_name":null,"funder_award_id":"DGE-1821766","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8660805891","display_name":null,"funder_award_id":"CCF-1718474","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1481921537","https://openalex.org/W1529285927","https://openalex.org/W1971319818","https://openalex.org/W1981141987","https://openalex.org/W2004823737","https://openalex.org/W2008781847","https://openalex.org/W2014402164","https://openalex.org/W2036687738","https://openalex.org/W2081729575","https://openalex.org/W2101328080","https://openalex.org/W2112810750","https://openalex.org/W2146276996","https://openalex.org/W2162827023","https://openalex.org/W2163748484","https://openalex.org/W2165473669","https://openalex.org/W2396622873","https://openalex.org/W2407339173","https://openalex.org/W2537444166","https://openalex.org/W2559524942","https://openalex.org/W2587907650","https://openalex.org/W2588236721","https://openalex.org/W2591601611","https://openalex.org/W2613103714","https://openalex.org/W2615320339","https://openalex.org/W2625133503","https://openalex.org/W2768104155","https://openalex.org/W2775637085","https://openalex.org/W2810804228","https://openalex.org/W2909364578","https://openalex.org/W2909800597","https://openalex.org/W2977350090","https://openalex.org/W3104353813","https://openalex.org/W3140772298","https://openalex.org/W4243513274","https://openalex.org/W4250138059","https://openalex.org/W6730087981"],"related_works":["https://openalex.org/W2054635671","https://openalex.org/W2545245183","https://openalex.org/W2350916061","https://openalex.org/W1970117475","https://openalex.org/W3161624601","https://openalex.org/W2078381924","https://openalex.org/W4298011929","https://openalex.org/W2626667124","https://openalex.org/W4206468571","https://openalex.org/W4388454170"],"abstract_inverted_index":{"In-memory":[0],"computing":[1,71],"(IMC)":[2],"can":[3,166,175],"eliminate":[4],"data":[5],"movement":[6],"between":[7],"processor":[8],"and":[9,19,32,123,185,210,231,247],"memory,":[10],"which":[11],"is":[12,41,161],"a":[13,54,88,96,238],"barrier":[14],"to":[15,26,106,114,125,153],"the":[16,44,78,131,148,155,158,244],"energy":[17],"efficiency":[18],"performance":[20,239],"in":[21,35,134,138],"von":[22],"Neumann":[23],"computing.":[24],"Due":[25],"low":[27,183,186],"power":[28,184],"consumption,":[29],"fast":[30],"operation,":[31],"tiny":[33],"footprint":[34],"crossbar":[36],"architecture,":[37],"resistive":[38],"RAM":[39],"(RRAM)":[40],"one":[42],"of":[43,130,171,180,241],"most":[45],"promising":[46],"devices":[47],"for":[48,193,249],"IMC":[49],"applications.":[50],"We":[51,103],"present":[52],"FPCAS,":[53],"pipelined":[55,250],"floating":[56],"point":[57],"(FP)":[58],"arithmetic":[59],"(addition/":[60],"subtraction)":[61],"solver":[62],"based":[63],"on":[64],"RRAM":[65,82],"crossbars.":[66],"Although":[67],"promis-":[68],"ing,":[69],"RRAM-based":[70],"may":[72],"experience":[73],"random":[74],"failures,":[75,109],"such":[76],"as":[77],"stuck-at":[79],"fault":[80],"where":[81],"cells":[83],"are":[84,137],"stuck":[85],"at":[86,182,243],"either":[87],"high-resistance":[89],"state":[90,98],"(HRS),":[91],"i.e.,":[92,100],"stuck-at-0":[93],"(SA0),":[94],"or":[95],"low-resistance":[97],"(LRS),":[99],"stuck-at-1":[101],"(SA1).":[102],"propose":[104],"techniques":[105],"prevent":[107],"SA1":[108],"namely,":[110],"shifting-at-the-output":[111],"(SATO),":[112],"force":[113,124],"<inline-formula":[115,194,202,211,219],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[116,195,203,212,220],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[117,196,204,213,221],"<tex-math":[118,197,205,214,222],"notation=\"LaTeX\">$V_{\\mathrm{":[119],"DD}}$":[120],"</tex-math></inline-formula>":[121,200,208,217,225],"(FTV),":[122],"ground":[126],"(FTG)":[127],"since":[128],"96%":[129],"RRAMs":[132,152],"employed":[133],"our":[135],"architecture":[136],"HRS.":[139],"Using":[140],"an":[141],"extra":[142],"clock":[143],"cycle,":[144],"both":[145],"strategies":[146],"employ":[147],"memory":[149],"array\u2019s":[150],"fault-free":[151],"conduct":[154],"computation.":[156],"When":[157],"failure":[159],"rate":[160],"less":[162],"than":[163,169,178],"2%,":[164],"SATO":[165],"manage":[167],"more":[168,177],"70%":[170],"faults,":[172],"whereas":[173],"FTV":[174],"handle":[176],"90%":[179],"faults":[181],"area":[187],"overhead.":[188],"Simulation":[189],"results":[190],"reveal":[191],"that,":[192],"notation=\"LaTeX\">$\\mathrm{\\scriptstyle":[198,206,215,223],"NAND}$":[199,207],"\u2013":[201,218],"-":[209],"NOR}$":[216,224],"-based":[226],"implementations,":[227],"FPCAS":[228],"consumes":[229],"335":[230],"322":[232],"pJ,":[233],"respectively.":[234],"Both":[235],"implementations":[236],"incur":[237],"overhead":[240],"50%":[242],"array":[245],"level":[246],"4%":[248],"FP":[251],"implementation.":[252]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
