{"id":"https://openalex.org/W2577539120","doi":"https://doi.org/10.1109/samos.2016.7818329","title":"Power models supporting energy-efficient co-design on ultra-low power embedded systems","display_name":"Power models supporting energy-efficient co-design on ultra-low power embedded systems","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2577539120","doi":"https://doi.org/10.1109/samos.2016.7818329","mag":"2577539120"},"language":"en","primary_location":{"id":"doi:10.1109/samos.2016.7818329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/samos.2016.7818329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS)","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/A5059769874","display_name":"Vi Ngoc-Nha Tran","orcid":"https://orcid.org/0000-0002-7150-6434"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Vi Ngoc-Nha Tran","raw_affiliation_strings":["Department of Computer Science, UiT The Arctic University of Norway, Tromso, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, UiT The Arctic University of Norway, Tromso, Norway","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056870301","display_name":"Brendan C. Barry","orcid":"https://orcid.org/0000-0003-0663-2490"},"institutions":[{"id":"https://openalex.org/I4210098433","display_name":"Plusvital (Ireland)","ror":"https://ror.org/00xfr3x03","country_code":"IE","type":"company","lineage":["https://openalex.org/I4210098433"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Brendan Barry","raw_affiliation_strings":["Movidius Ltd., Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Movidius Ltd., Dublin, Ireland","institution_ids":["https://openalex.org/I4210098433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029307415","display_name":"Phuong Hoai Ha","orcid":"https://orcid.org/0000-0001-8366-5590"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Phuong Hoai Ha","raw_affiliation_strings":["Department of Computer Science, UiT The Arctic University of Norway, Tromso, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, UiT The Arctic University of Norway, Tromso, Norway","institution_ids":["https://openalex.org/I78037679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059769874"],"corresponding_institution_ids":["https://openalex.org/I78037679"],"apc_list":null,"apc_paid":null,"fwci":1.5767,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83383487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"46"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9958000183105469,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9955000281333923,"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":0.6978275179862976},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.6123037934303284},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.6055350303649902},{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.5746273994445801},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5023164749145508},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4943881034851074},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4466962218284607},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4229680001735687},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4063810706138611},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.35257089138031006},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3319186568260193},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.32567864656448364},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1594083309173584},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11353740096092224},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09123781323432922}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6978275179862976},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.6123037934303284},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.6055350303649902},{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.5746273994445801},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5023164749145508},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4943881034851074},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4466962218284607},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4229680001735687},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4063810706138611},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.35257089138031006},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3319186568260193},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.32567864656448364},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1594083309173584},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11353740096092224},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09123781323432922},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/samos.2016.7818329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/samos.2016.7818329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1707598465","https://openalex.org/W1894651528","https://openalex.org/W1974982221","https://openalex.org/W1975483580","https://openalex.org/W1989831790","https://openalex.org/W1990832096","https://openalex.org/W2002555321","https://openalex.org/W2004301625","https://openalex.org/W2035276889","https://openalex.org/W2049009664","https://openalex.org/W2049731212","https://openalex.org/W2071249960","https://openalex.org/W2079325629","https://openalex.org/W2079942837","https://openalex.org/W2093043622","https://openalex.org/W2100619764","https://openalex.org/W2105506259","https://openalex.org/W2119661598","https://openalex.org/W2120405872","https://openalex.org/W2121082877","https://openalex.org/W2124275906","https://openalex.org/W2131218797","https://openalex.org/W2145524569","https://openalex.org/W2161127790","https://openalex.org/W2170382128","https://openalex.org/W2260451366","https://openalex.org/W2411241739","https://openalex.org/W2520219394","https://openalex.org/W2521553599","https://openalex.org/W6631634815","https://openalex.org/W6715094534","https://openalex.org/W6727128576"],"related_works":["https://openalex.org/W3099313426","https://openalex.org/W4287593139","https://openalex.org/W752783541","https://openalex.org/W1506547947","https://openalex.org/W2995605830","https://openalex.org/W4206811032","https://openalex.org/W2086123442","https://openalex.org/W2596457687","https://openalex.org/W3212757063","https://openalex.org/W2093666864"],"abstract_inverted_index":{"The":[0,74,86,119,188],"energy":[1,209,215,226],"efficiency":[2],"of":[3,123,195],"computing":[4],"systems":[5,18],"can":[6,32,204],"be":[7],"enhanced":[8],"via":[9],"power":[10,29,44,57,68,116],"models":[11,30,58,75,87],"that":[12,59,192],"provide":[13,33,60],"insights":[14,34,61],"into":[15,35,62],"how":[16,36,63],"the":[17,124,139,165,170,193],"consume":[19],"power.":[20,49],"However,":[21],"there":[22],"are":[23,88,126],"no":[24],"application-general,":[25],"fine-grained":[26,56],"and":[27,83,95,107,132,181,202,224],"validated":[28,89,167],"which":[31],"a":[37,64,143,157,161],"given":[38,65,162],"application":[39,66,84,97,135,155,168],"running":[40,153],"on":[41,69,111,138],"an":[42,70,114,154],"ultra-low":[43,115],"(ULP)":[45],"embedded":[46,72,117],"system":[47],"consumes":[48,67],"In":[50],"this":[51],"study,":[52],"we":[53,141,203],"devise":[54],"new":[55,197],"ULP":[71],"system.":[73,118],"support":[76],"architecture-application":[77],"co-design":[78],"by":[79,221,231],"considering":[80],"both":[81],"platform":[82],"properties.":[85],"with":[90,156],"data":[91],"from":[92],"35":[93],"micro-benchmarks":[94,131],"three":[96,166],"kernels,":[98,169],"namely":[99],"dense":[100,211],"matrix":[101,104,212,218],"multiplication,":[102,213],"sparse":[103,217],"vector":[105,219],"multiplication":[106,220],"breadth":[108,228],"first":[109,229],"search,":[110],"Movidius":[112],"Myriad,":[113],"absolute":[120],"percentage":[121],"errors":[122],"model":[125],"at":[127],"most":[128],"8.5%":[129],"for":[130,134,210,216,227],"12%":[133],"kernels.":[136],"Based":[137],"models,":[140],"propose":[142],"framework":[144,172,199],"predicting":[145],"when":[146,177,182],"to":[147,160,175,178,184,207],"apply":[148],"race-to-halt":[149],"(RTH)":[150],"strategy":[151],"(i.e.,":[152],"maximum":[158],"setting)":[159],"application.":[163],"For":[164],"proposed":[171],"is":[173,200],"able":[174],"predict":[176],"use":[179,185],"RTH":[180,186,198,223],"not":[183,232],"precisely.":[187],"experimental":[189],"results":[190],"show":[191],"prediction":[194],"our":[196],"accurate":[201],"save":[205],"up":[206],"61%":[208],"59%":[214],"using":[222,233],"5%":[225],"search":[230],"RTH.":[234]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}