{"id":"https://openalex.org/W2174359188","doi":"https://doi.org/10.1109/pacrim.2015.7334827","title":"GPU design space exploration: NN-based models","display_name":"GPU design space exploration: NN-based models","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2174359188","doi":"https://doi.org/10.1109/pacrim.2015.7334827","mag":"2174359188"},"language":"en","primary_location":{"id":"doi:10.1109/pacrim.2015.7334827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pacrim.2015.7334827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","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/A5084340313","display_name":"Ali Jooya","orcid":null},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Jooya","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Victoria, Victoria, B.C., Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Victoria, Victoria, B.C., Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051681787","display_name":"N.J. Dimopoulos","orcid":"https://orcid.org/0000-0003-0415-8852"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nikitas Dimopoulos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Victoria, Victoria, B.C., Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Victoria, Victoria, B.C., Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000153604","display_name":"Amirali Baniasadi","orcid":null},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Amirali Baniasadi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Victoria, Victoria, B.C., Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Victoria, Victoria, B.C., Canada","institution_ids":["https://openalex.org/I212119943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9883,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76856649,"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":"159","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":1.0,"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":1.0,"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":0.9980000257492065,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.996999979019165,"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":0.8251015543937683},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7241559028625488},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.5628951191902161},{"id":"https://openalex.org/keywords/design-space-exploration","display_name":"Design space exploration","score":0.5619668960571289},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5541356801986694},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5414735078811646},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5189730525016785},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4287142753601074},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.423614501953125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39254558086395264},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.35799768567085266},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3364078998565674},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.12207308411598206},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.10469529032707214},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09714585542678833},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.08163601160049438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8251015543937683},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7241559028625488},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.5628951191902161},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.5619668960571289},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5541356801986694},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5414735078811646},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5189730525016785},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4287142753601074},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.423614501953125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39254558086395264},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.35799768567085266},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3364078998565674},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.12207308411598206},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.10469529032707214},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09714585542678833},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.08163601160049438},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pacrim.2015.7334827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pacrim.2015.7334827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1641368799","https://openalex.org/W1968902482","https://openalex.org/W1978969737","https://openalex.org/W1979527452","https://openalex.org/W2006901874","https://openalex.org/W2054224993","https://openalex.org/W2057281463","https://openalex.org/W2080592089","https://openalex.org/W2135333567","https://openalex.org/W2146794146","https://openalex.org/W2152513418","https://openalex.org/W2798455746","https://openalex.org/W4252741098"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729","https://openalex.org/W2168940796","https://openalex.org/W4282568311","https://openalex.org/W4313484792","https://openalex.org/W2951473296"],"abstract_inverted_index":{"Different":[0],"applications":[1],"have":[2,80],"different":[3],"memory":[4],"and":[5,11,24,43,54,105],"computational":[6],"demands.":[7],"Therefore,":[8],"obtainable":[9],"performance":[10,44,55],"energy":[12],"efficiency":[13],"on":[14,18],"a":[15,35],"GPU":[16,22],"depends":[17],"how":[19],"well":[20],"the":[21,59,62,91,94,102,107,110],"resources":[23],"application":[25],"demands":[26],"are":[27,33],"balanced.":[28],"In":[29],"this":[30],"study,":[31],"we":[32,79],"presenting":[34],"Neural":[36],"Network":[37],"based":[38],"predictor":[39],"to":[40,86],"model":[41,50],"power":[42,53],"of":[45,58,69,93,101,109],"GPGPU":[46],"applications.":[47],"The":[48,96],"proposed":[49,97],"accurately":[51],"predicts":[52],"for":[56],"most":[57,100],"configurations":[60,74],"in":[61],"design":[63],"space":[64],"with":[65,75],"average":[66],"prediction":[67,77],"error":[68],"less":[70],"than":[71],"6.5%.":[72],"For":[73],"high":[76],"errors,":[78],"developed":[81],"an":[82],"outlier":[83],"detection":[84],"method":[85],"filter":[87,98],"them":[88],"out":[89],"from":[90],"output":[92],"model.":[95,111],"captures":[99],"extreme":[103],"outliers":[104],"improves":[106],"accuracy":[108]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
