{"id":"https://openalex.org/W4242851276","doi":"https://doi.org/10.1109/micro.2016.7783735","title":"Reducing data movement energy via online data clustering and encoding","display_name":"Reducing data movement energy via online data clustering and encoding","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W4242851276","doi":"https://doi.org/10.1109/micro.2016.7783735"},"language":"en","primary_location":{"id":"doi:10.1109/micro.2016.7783735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/micro.2016.7783735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO)","raw_type":"proceedings-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/A5100738091","display_name":"Shibo Wang","orcid":"https://orcid.org/0000-0001-9259-6806"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shibo Wang","raw_affiliation_strings":["Department of Computer Science, University of Rochester, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032587556","display_name":"Engin \u0130pek","orcid":"https://orcid.org/0000-0003-2809-5809"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Engin Ipek","raw_affiliation_strings":["Department of Computer Science, University of Rochester, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100738091"],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":0.6434,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.72041923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.732991099357605},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7220160365104675},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5900882482528687},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.46183088421821594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3877788484096527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31824034452438354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.732991099357605},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7220160365104675},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5900882482528687},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.46183088421821594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3877788484096527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31824034452438354},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/micro.2016.7783735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/micro.2016.7783735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8700000047683716,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W309890564","https://openalex.org/W1595370658","https://openalex.org/W1847448858","https://openalex.org/W1981220134","https://openalex.org/W1983545421","https://openalex.org/W1985871455","https://openalex.org/W2011591402","https://openalex.org/W2022740893","https://openalex.org/W2028260500","https://openalex.org/W2028362246","https://openalex.org/W2033110238","https://openalex.org/W2074385563","https://openalex.org/W2095867783","https://openalex.org/W2097823832","https://openalex.org/W2100846455","https://openalex.org/W2101756288","https://openalex.org/W2103460560","https://openalex.org/W2103670614","https://openalex.org/W2105102111","https://openalex.org/W2108880814","https://openalex.org/W2110113956","https://openalex.org/W2115172404","https://openalex.org/W2120000030","https://openalex.org/W2126425367","https://openalex.org/W2127218421","https://openalex.org/W2141421397","https://openalex.org/W2147657598","https://openalex.org/W2148415652","https://openalex.org/W2150593711","https://openalex.org/W2150947797","https://openalex.org/W2157554053","https://openalex.org/W2157587823","https://openalex.org/W2165072326","https://openalex.org/W2170382128","https://openalex.org/W2179530124","https://openalex.org/W2239143684","https://openalex.org/W3013103997","https://openalex.org/W3145579537","https://openalex.org/W4238549726","https://openalex.org/W4238816702","https://openalex.org/W4255812374","https://openalex.org/W6629678226","https://openalex.org/W6676056936","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W2184114188","https://openalex.org/W2804364458","https://openalex.org/W2348328675","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W4234486410","https://openalex.org/W2090259340","https://openalex.org/W2353407213","https://openalex.org/W2083665254"],"abstract_inverted_index":{"Modern":[0],"computer":[1],"systems":[2],"expend":[3],"significant":[4],"amounts":[5],"of":[6,20,35,42,67,118,129,193,202],"energy":[7,25,54,134,200],"on":[8,84,100,168,190],"transmitting":[9],"data":[10,23,52,62,80,86,94,108,132,171,187],"over":[11],"long":[12],"and":[13,122,205,210],"highly":[14],"capacitive":[15],"interconnects.":[16],"A":[17],"promising":[18],"way":[19],"reducing":[21],"the":[22,29,33,60,65,101,113,139,154,159,164,169,218],"movement":[24,53,133],"is":[26,37,73,110,135,180],"to":[27,150,172,174,182,217],"design":[28],"interconnect":[30,47],"such":[31,45,63],"that":[32,41,64,88,145],"transmission":[34,50],"0s":[36],"considerably":[38],"cheaper":[39],"than":[40],"1s.":[43,130],"Given":[44],"an":[46,143],"with":[48,125,142],"asymmetric":[49],"costs,":[51],"can":[55],"be":[56],"reduced":[57],"by":[58,137],"encoding":[59,81,188,222],"transmitted":[61,71,93,155],"number":[66,128],"1s":[68],"in":[69,152,207],"each":[70],"codeword":[72],"minimized.":[74],"This":[75],"paper":[76],"presents":[77],"a":[78,123,126,191],"new":[79],"technique":[82,179],"based":[83,99,167],"online":[85],"clustering":[87],"exploits":[89],"this":[90],"opportunity.":[91],"The":[92,131,177,196],"blocks":[95],"are":[96],"dynamically":[97],"clustered":[98],"similarities":[102],"between":[103,116],"their":[104],"binary":[105],"representations.":[106],"Each":[107],"block":[109],"expressed":[111],"as":[112,215],"bitwise":[114],"XOR":[115],"one":[117],"multiple":[119],"cluster":[120,148,165],"centers":[121,166],"residual":[124,140],"small":[127],"minimized":[136],"sending":[138],"along":[141],"identifier":[144],"specifies":[146],"which":[147],"center":[149],"use":[151],"decoding":[153],"data.":[156],"At":[157],"runtime,":[158],"proposed":[160,178,185],"approach":[161],"continually":[162],"updates":[163],"observed":[170],"adapt":[173],"phase":[175],"changes.":[176],"compared":[181,216],"three":[183],"previously":[184],"energy-efficient":[186],"techniques":[189],"set":[192],"14":[194],"applications.":[195],"results":[197],"indicate":[198],"respective":[199],"savings":[201],"5%,":[203],"9%,":[204],"12%":[206],"DDR4,":[208],"LPDDR3,":[209],"last":[211],"level":[212],"cache":[213],"subsystems":[214],"best":[219],"existing":[220],"baseline":[221],"technique.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
