{"id":"https://openalex.org/W4323521063","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10052040","title":"Efficient Multi-task Adaption for Crossbar-based In-Memory Computing","display_name":"Efficient Multi-task Adaption for Crossbar-based In-Memory Computing","publication_year":2022,"publication_date":"2022-10-31","ids":{"openalex":"https://openalex.org/W4323521063","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10052040"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf56349.2022.10052040","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf56349.2022.10052040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th 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/A5074715434","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0002-6823-2700"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering Arizona State University,Tempe,USA","School of Electrical, Computer and Energy Engineering Arizona State University, Tempe, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering Arizona State University,Tempe,USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419157","display_name":"Li Yang","orcid":"https://orcid.org/0000-0002-2839-6196"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Yang","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering Arizona State University,Tempe,USA","School of Electrical, Computer and Energy Engineering Arizona State University, Tempe, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering Arizona State University,Tempe,USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047916979","display_name":"Deliang Fan","orcid":"https://orcid.org/0000-0002-7989-6297"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deliang Fan","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering Arizona State University,Tempe,USA","School of Electrical, Computer and Energy Engineering Arizona State University, Tempe, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering Arizona State University,Tempe,USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55732556"],"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":"29","issue":null,"first_page":"328","last_page":"333"},"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":0.9994000196456909,"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/T12676","display_name":"Machine Learning and ELM","score":0.9936000108718872,"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/crossbar-switch","display_name":"Crossbar switch","score":0.9554061889648438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8345742225646973},{"id":"https://openalex.org/keywords/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.7296433448791504},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.67270827293396},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6676844954490662},{"id":"https://openalex.org/keywords/in-memory-processing","display_name":"In-Memory Processing","score":0.5678368806838989},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5287437438964844},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4938569664955139},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4624588191509247},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.44125866889953613},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43545016646385193},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.4342750310897827},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.4216890335083008},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.39491379261016846},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3676677346229553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2279077172279358},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09535586833953857},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.0829186737537384},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.07418006658554077},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07360753417015076}],"concepts":[{"id":"https://openalex.org/C29984679","wikidata":"https://www.wikidata.org/wiki/Q1929149","display_name":"Crossbar switch","level":2,"score":0.9554061889648438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8345742225646973},{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.7296433448791504},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.67270827293396},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6676844954490662},{"id":"https://openalex.org/C123593499","wikidata":"https://www.wikidata.org/wiki/Q6008583","display_name":"In-Memory Processing","level":5,"score":0.5678368806838989},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5287437438964844},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4938569664955139},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4624588191509247},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.44125866889953613},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43545016646385193},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.4342750310897827},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.4216890335083008},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.39491379261016846},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3676677346229553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2279077172279358},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09535586833953857},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0829186737537384},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.07418006658554077},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07360753417015076},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.0},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.0},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf56349.2022.10052040","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf56349.2022.10052040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1276397424","display_name":"FET: Small: AlignMEM: Fast and Efficient DNA Sequence Alignment in Non-Volatile Magnetic RAM","funder_award_id":"2003749","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1842932991","https://openalex.org/W2117539524","https://openalex.org/W2138011018","https://openalex.org/W2194775991","https://openalex.org/W2399958287","https://openalex.org/W2533013863","https://openalex.org/W2533598788","https://openalex.org/W2547875792","https://openalex.org/W2768900401","https://openalex.org/W2782046614","https://openalex.org/W2791091755","https://openalex.org/W2801000640","https://openalex.org/W2802367674","https://openalex.org/W2804935296","https://openalex.org/W2894740066","https://openalex.org/W2899224990","https://openalex.org/W2957706073","https://openalex.org/W2962707369","https://openalex.org/W2963211188","https://openalex.org/W2963430933","https://openalex.org/W2964248489","https://openalex.org/W2964332173","https://openalex.org/W3005619596","https://openalex.org/W3106655949","https://openalex.org/W3116050082","https://openalex.org/W3174981550","https://openalex.org/W4230981054","https://openalex.org/W4280640895","https://openalex.org/W4295262505","https://openalex.org/W4311949532","https://openalex.org/W6636751772","https://openalex.org/W6693397755","https://openalex.org/W6729448088","https://openalex.org/W6737514476","https://openalex.org/W6738045163","https://openalex.org/W6749436094","https://openalex.org/W6752624901","https://openalex.org/W6755166560"],"related_works":["https://openalex.org/W1872623660","https://openalex.org/W4292697011","https://openalex.org/W3207218810","https://openalex.org/W3212508523","https://openalex.org/W4386475142","https://openalex.org/W1995352804","https://openalex.org/W2086672837","https://openalex.org/W2793181810","https://openalex.org/W2016922062","https://openalex.org/W2891417865"],"abstract_inverted_index":{"ReRAM":[0,52],"crossbar":[1],"Non-volatile":[2],"memory":[3],"(NVM)":[4],"based":[5],"In-Memory":[6],"Computing":[7],"(IMC)":[8],"has":[9,62],"been":[10,64],"widely":[11],"investigated":[12],"as":[13],"a":[14,72,77,91],"highly":[15],"parallel,":[16],"fast,":[17],"and":[18,44,85],"energy-efficient":[19],"computing":[20],"platform":[21],"for":[22,28,56,90],"Deep":[23],"Neural":[24],"Networks":[25],"(DNNs),":[26],"especially":[27],"one":[29],"specific":[30],"task":[31,88],"inference.":[32],"However,":[33],"due":[34],"to":[35],"the":[36,45,51],"intrinsic":[37],"high":[38],"energy":[39],"consumption":[40],"of":[41],"weight":[42],"re-programming":[43],"relatively":[46],"low":[47],"endurance":[48],"issue,":[49],"adapting":[50],"crossbar-based":[53],"IMC":[54],"hardware":[55,97],"continual":[57],"learning":[58,61,74],"or":[59],"multi-task":[60],"not":[63],"well":[65],"explored.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70],"discuss":[71],"crossbar-aware":[73],"method":[75],"with":[76,95],"2-tier":[78],"masking":[79],"technique":[80],"that":[81],"could":[82],"enable":[83],"efficient":[84],"fast":[86],"new":[87],"adaption":[89],"deployed":[92],"DNN":[93],"model":[94],"minor":[96],"overhead.":[98]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
