{"id":"https://openalex.org/W2550932509","doi":"https://doi.org/10.1109/icrc.2016.7738675","title":"Reducing data movement with approximate computing techniques","display_name":"Reducing data movement with approximate computing techniques","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2550932509","doi":"https://doi.org/10.1109/icrc.2016.7738675","mag":"2550932509"},"language":"en","primary_location":{"id":"doi:10.1109/icrc.2016.7738675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icrc.2016.7738675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Rebooting Computing (ICRC)","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/A5022935102","display_name":"Stephen P. Crago","orcid":"https://orcid.org/0000-0002-5620-4227"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen P. Crago","raw_affiliation_strings":["Department of Electrical Engineering, University of Southern California, Arlington, Virginia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Southern California, Arlington, Virginia, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042239243","display_name":"Donald Yeung","orcid":"https://orcid.org/0000-0003-0341-2644"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Donald Yeung","raw_affiliation_strings":["Electrical and Computing Engineering Department, University of Maryland, College Park, Maryland, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computing Engineering Department, University of Maryland, College Park, Maryland, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"345","issue":null,"first_page":"1","last_page":"4"},"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":0.9983000159263611,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9951000213623047,"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/computer-science","display_name":"Computer science","score":0.8334010243415833},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6358102560043335},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.6262208223342896},{"id":"https://openalex.org/keywords/stochastic-computing","display_name":"Stochastic computing","score":0.6058363914489746},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.46411141753196716},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.366426557302475},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3631465435028076},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35916680097579956},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3284369111061096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2717617452144623},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23952895402908325}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8334010243415833},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6358102560043335},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.6262208223342896},{"id":"https://openalex.org/C2780971903","wikidata":"https://www.wikidata.org/wiki/Q2933705","display_name":"Stochastic computing","level":3,"score":0.6058363914489746},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.46411141753196716},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.366426557302475},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3631465435028076},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35916680097579956},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3284369111061096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2717617452144623},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23952895402908325}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icrc.2016.7738675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icrc.2016.7738675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Rebooting Computing (ICRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2029046561","https://openalex.org/W2030633197","https://openalex.org/W2046041890","https://openalex.org/W2113755305","https://openalex.org/W2114703523","https://openalex.org/W2126869140","https://openalex.org/W2138913040","https://openalex.org/W2142883190","https://openalex.org/W2187230075"],"related_works":["https://openalex.org/W3031505884","https://openalex.org/W2951049725","https://openalex.org/W4285308918","https://openalex.org/W2971712727","https://openalex.org/W4387459935","https://openalex.org/W2908450434","https://openalex.org/W3193008624","https://openalex.org/W4382561696","https://openalex.org/W2581119583","https://openalex.org/W3015991694"],"abstract_inverted_index":{"Data":[0],"movement":[1],"is":[2],"the":[3,40,49,68],"dominant":[4],"factor":[5],"that":[6,19,62],"limits":[7],"performance":[8,65],"and":[9,14,47,67,92,101],"efficiency":[10],"in":[11,22,43,48,72],"today's":[12],"architectures,":[13,46],"we":[15,28,54],"do":[16],"not":[17],"expect":[18],"to":[20,37,84],"change":[21],"future":[23,85],"architectures.":[24,75,103],"In":[25],"this":[26],"paper,":[27],"describe":[29,77],"how":[30,78],"approximate":[31],"computing":[32],"techniques":[33,80],"can":[34],"be":[35,82],"applied":[36,83],"communication":[38],"at":[39],"algorithm":[41],"level,":[42],"conventional":[44,99],"computer":[45,74],"architectures":[50,86],"being":[51],"explored":[52],"as":[53,95,97],"go":[55],"beyond":[56],"Moore's":[57],"Law.":[58],"We":[59,76],"present":[60],"results":[61],"demonstrate":[63],"potential":[64],"gains":[66],"effect":[69],"of":[70],"approximations":[71],"traditional":[73],"these":[79],"may":[81],"based":[87],"on":[88],"probabilistic,":[89],"approximate,":[90],"stochastic,":[91],"neuromorphic":[93],"computing,":[94],"well":[96],"more":[98],"heterogeneous":[100],"3D":[102]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
