{"id":"https://openalex.org/W2900009113","doi":"https://doi.org/10.1145/3240765.3240797","title":"Deterministic methods for stochastic computing using low-discrepancy sequences","display_name":"Deterministic methods for stochastic computing using low-discrepancy sequences","publication_year":2018,"publication_date":"2018-11-05","ids":{"openalex":"https://openalex.org/W2900009113","doi":"https://doi.org/10.1145/3240765.3240797","mag":"2900009113"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3240765.3240797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.1145/3240765.3240797","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012903661","display_name":"M. Hassan Najafi","orcid":"https://orcid.org/0000-0002-4655-6229"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Hassan Najafi","raw_affiliation_strings":["University of Louisiana at Lafayette, Lafayette, Louisiana"],"affiliations":[{"raw_affiliation_string":"University of Louisiana at Lafayette, Lafayette, Louisiana","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090091276","display_name":"David J. Lilja","orcid":"https://orcid.org/0000-0003-3785-8206"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David J. Lilja","raw_affiliation_strings":["University of Minnesota, Minneapolis, Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103212398","display_name":"Marc D. Riedel","orcid":"https://orcid.org/0000-0002-3318-346X"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marc Riedel","raw_affiliation_strings":["University of Minnesota, Minneapolis, Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.709,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":50,"citation_normalized_percentile":{"value":0.905592,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"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":0.9971,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.996,"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/stochastic-computing","display_name":"Stochastic Computing","score":0.7989272}],"concepts":[{"id":"https://openalex.org/C2780971903","wikidata":"https://www.wikidata.org/wiki/Q2933705","display_name":"Stochastic computing","level":3,"score":0.7989272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.736331},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.73086315},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6398914},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5117092},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.42066723},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.41072074},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.410097},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39156908},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32049888},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16414109},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3240765.3240797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3240765.3240797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation","award_id":"CCF-1408123"}],"datasets":[],"versions":[],"referenced_works_count":13,"referenced_works":["https://openalex.org/W2043419861","https://openalex.org/W2051898848","https://openalex.org/W2077344647","https://openalex.org/W2098470668","https://openalex.org/W2101765144","https://openalex.org/W2122983882","https://openalex.org/W2533474659","https://openalex.org/W2579041139","https://openalex.org/W2608526162","https://openalex.org/W2614053718","https://openalex.org/W2732892496","https://openalex.org/W2770265919","https://openalex.org/W2782989621"],"related_works":["https://openalex.org/W4362698835","https://openalex.org/W3087771547","https://openalex.org/W2382623646","https://openalex.org/W2375199418","https://openalex.org/W2368437561","https://openalex.org/W2364921833","https://openalex.org/W2333420780","https://openalex.org/W2302028273","https://openalex.org/W2067938758","https://openalex.org/W1525643724"],"abstract_inverted_index":{"Recently,":[0],"deterministic":[1,22,65,88],"approaches":[2,26,66,89,129],"to":[3,90,140],"stochastic":[4,17],"computing":[5,18],"(SC)":[6],"have":[7],"been":[8],"proposed.":[9],"These":[10,25],"compute":[11],"with":[12],"the":[13,28,32,53,103,106,112,127,133],"same":[14],"constructs":[15],"as":[16],"but":[19],"operate":[20],"on":[21,93],"bit":[23],"streams.":[24],"reduce":[27,31],"area,":[29],"greatly":[30],"latency":[33],"(by":[34],"an":[35],"exponential":[36],"factor),":[37],"and":[38,136],"produce":[39],"completely":[40,99],"accurate":[41,100],"results.":[42],"However,":[43,111],"these":[44,64],"methods":[45],"do":[46],"not":[47,68],"scale":[48],"well.":[49],"Also,":[50],"they":[51],"lack":[52],"property":[54],"of":[55,75,109],"progressive":[56],"precision":[57],"enjoyed":[58],"by":[59],"SC.":[60],"As":[61],"a":[62],"result,":[63],"are":[67,98],"competitive":[69],"for":[70,105],"applications":[71],"where":[72],"some":[73,119],"degree":[74],"inaccuracy":[76,120],"can":[77,114],"be":[78,115],"tolerated.":[79],"In":[80],"this":[81],"work":[82],"we":[83],"introduce":[84],"two":[85],"fast-converging,":[86],"scalable":[87],"SC":[91],"based":[92],"low-discrepancy":[94],"sequences.":[95],"The":[96],"results":[97,124],"when":[101],"running":[102],"operations":[104],"required":[107],"number":[108],"cycles.":[110],"computation":[113],"truncated":[116],"early":[117],"if":[118],"is":[121],"acceptable.":[122],"Experimental":[123],"show":[125],"that":[126],"proposed":[128],"significantly":[130],"improve":[131],"both":[132],"processing":[134],"time":[135],"area-delay":[137],"product":[138],"compared":[139],"prior":[141],"approaches.":[142]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2900009113","counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8}],"updated_date":"2024-12-06T21:35:48.432615","created_date":"2018-11-16"}