{"id":"https://openalex.org/W2343302151","doi":"https://doi.org/10.1109/sies.2016.7509423","title":"MIPP: A microbenchmark suite for performance, power, and energy consumption characterization of GPU architectures","display_name":"MIPP: A microbenchmark suite for performance, power, and energy consumption characterization of GPU architectures","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2343302151","doi":"https://doi.org/10.1109/sies.2016.7509423","mag":"2343302151"},"language":"en","primary_location":{"id":"doi:10.1109/sies.2016.7509423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sies.2016.7509423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 11th IEEE Symposium on Industrial Embedded Systems (SIES)","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/A5088231786","display_name":"Nicola Bombieri","orcid":"https://orcid.org/0000-0003-3256-5885"},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Nicola Bombieri","raw_affiliation_strings":["Dept. Computer Science, University of Verona"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science, University of Verona","institution_ids":["https://openalex.org/I119439378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053217543","display_name":"Federico Busato","orcid":null},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federico Busato","raw_affiliation_strings":["Dept. Computer Science, University of Verona"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science, University of Verona","institution_ids":["https://openalex.org/I119439378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040302302","display_name":"Franco Fummi","orcid":"https://orcid.org/0000-0002-4404-5791"},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Franco Fummi","raw_affiliation_strings":["Dept. Computer Science, University of Verona"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science, University of Verona","institution_ids":["https://openalex.org/I119439378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111974333","display_name":"Michele Scala","orcid":null},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Scala","raw_affiliation_strings":["Dept. Computer Science, University of Verona"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science, University of Verona","institution_ids":["https://openalex.org/I119439378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088231786"],"corresponding_institution_ids":["https://openalex.org/I119439378"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.02849351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9975000023841858,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/suite","display_name":"Suite","score":0.8552308082580566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6992002725601196},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6827966570854187},{"id":"https://openalex.org/keywords/characterization","display_name":"Characterization (materials science)","score":0.6555055379867554},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.6255464553833008},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.48821118474006653},{"id":"https://openalex.org/keywords/test-suite","display_name":"Test suite","score":0.46929651498794556},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4217208921909332},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.40464115142822266},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.36965078115463257},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3376990556716919},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1440601944923401},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10464346408843994},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10184550285339355},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07482472062110901},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.06525987386703491},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.061523109674453735}],"concepts":[{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.8552308082580566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6992002725601196},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6827966570854187},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.6555055379867554},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.6255464553833008},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.48821118474006653},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.46929651498794556},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4217208921909332},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.40464115142822266},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.36965078115463257},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3376990556716919},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1440601944923401},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10464346408843994},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10184550285339355},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07482472062110901},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.06525987386703491},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.061523109674453735},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sies.2016.7509423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sies.2016.7509423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 11th IEEE Symposium on Industrial Embedded Systems (SIES)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W192356505","https://openalex.org/W1993508117","https://openalex.org/W2021762492","https://openalex.org/W2025692558","https://openalex.org/W2033597569","https://openalex.org/W2050127041","https://openalex.org/W2069590084","https://openalex.org/W2071959074","https://openalex.org/W2093683727","https://openalex.org/W2110014487","https://openalex.org/W2110195531","https://openalex.org/W2112532446","https://openalex.org/W2142769604","https://openalex.org/W2165384099","https://openalex.org/W6676165915"],"related_works":["https://openalex.org/W2465616004","https://openalex.org/W2081245617","https://openalex.org/W1580730938","https://openalex.org/W1517479908","https://openalex.org/W2794878329","https://openalex.org/W2034384303","https://openalex.org/W2088146190","https://openalex.org/W2626440223","https://openalex.org/W1500982531","https://openalex.org/W2921979358"],"abstract_inverted_index":{"GPU-accelerated":[0],"applications":[1],"are":[2,116],"becoming":[3],"increasingly":[4],"common":[5],"in":[6,12,62,145],"high-performance":[7],"computing":[8],"as":[9,11,58,73],"well":[10],"low-power":[13],"heterogeneous":[14],"embedded":[15],"systems.":[16],"Nevertheless,":[17],"GPU":[18,27,39,70,100,120,164,170,198],"programming":[19],"is":[20,45,106],"a":[21,26,69,82,111,168],"challenging":[22,44],"task,":[23],"especially":[24],"if":[25],"application":[28,47,71,105,165,204],"has":[29],"to":[30,33,64,194,201],"be":[31],"tuned":[32],"fully":[34],"take":[35],"advantage":[36],"of":[37,68,113,119,142,147],"the":[38,46,86,99,104,139,163,186,191],"architectural":[40],"configuration.":[41],"Even":[42],"more":[43],"tuning":[48,166,205],"by":[49,172,189],"considering":[50,173],"power":[51,89],"and":[52,90,136,150,161,200],"energy":[53,91,151,181],"consumption,":[54],"which":[55,103,115],"have":[56,81],"emerged":[57],"first-order":[59],"design":[60,176],"constraints":[61,177],"addition":[63],"performance.":[65],"Solving":[66],"bottlenecks":[67],"such":[72,143],"high":[74],"thread":[75],"divergence":[76],"or":[77],"poor":[78],"memory":[79],"coalescing":[80],"different":[83,197],"impact":[84,95,207],"on":[85,98,102,167,209],"overall":[87],"performance,":[88,180],"consumption.":[92,152],"Such":[93],"an":[94],"also":[96],"depends":[97],"device":[101,125],"run.":[107],"This":[108],"paper":[109,184],"presents":[110,185],"suite":[112,154,193],"microbenchmarks,":[114],"specialized":[117],"chunks":[118],"code":[121],"that":[122,137],"exercise":[123],"specific":[124,169],"components":[126,144],"(e.g.,":[127],"arithmetic":[128],"instruction":[129],"units,":[130],"shared":[131],"memory,":[132],"cache,":[133],"DRAM,":[134],"etc.)":[135],"provide":[138],"actual":[140],"characteristics":[141],"terms":[146],"throughput,":[148],"power,":[149,179],"The":[153,183],"aims":[155],"at":[156],"enriching":[157],"standard":[158],"profiler":[159],"information":[160],"guiding":[162],"architecture":[171],"all":[174],"three":[175],"(i.e.,":[178],"consumption).":[182],"results":[187],"obtained":[188],"applying":[190],"proposed":[192],"characterize":[195],"two":[196],"devices":[199],"understand":[202],"how":[203],"may":[206],"differently":[208],"them.":[210]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}