{"id":"https://openalex.org/W2409483049","doi":"https://doi.org/10.1109/ispass.2016.7482072","title":"Characterization and bottleneck analysis of a 64-bit ARMv8 platform","display_name":"Characterization and bottleneck analysis of a 64-bit ARMv8 platform","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2409483049","doi":"https://doi.org/10.1109/ispass.2016.7482072","mag":"2409483049"},"language":"en","primary_location":{"id":"doi:10.1109/ispass.2016.7482072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispass.2016.7482072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)","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/A5058184922","display_name":"Michael A. Laurenzano","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael A. Laurenzano","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000364746","display_name":"Ananta Tiwari","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108719","display_name":"EP Analytics (United States)","ror":"https://ror.org/020emvx88","country_code":"US","type":"company","lineage":["https://openalex.org/I4210108719"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ananta Tiwari","raw_affiliation_strings":["EP Analytics"],"affiliations":[{"raw_affiliation_string":"EP Analytics","institution_ids":["https://openalex.org/I4210108719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058037604","display_name":"Allyson Cauble\u2010Chantrenne","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108719","display_name":"EP Analytics (United States)","ror":"https://ror.org/020emvx88","country_code":"US","type":"company","lineage":["https://openalex.org/I4210108719"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Allyson Cauble-Chantrenne","raw_affiliation_strings":["EP Analytics"],"affiliations":[{"raw_affiliation_string":"EP Analytics","institution_ids":["https://openalex.org/I4210108719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042290717","display_name":"Adam Jundt","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108719","display_name":"EP Analytics (United States)","ror":"https://ror.org/020emvx88","country_code":"US","type":"company","lineage":["https://openalex.org/I4210108719"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Jundt","raw_affiliation_strings":["EP Analytics"],"affiliations":[{"raw_affiliation_string":"EP Analytics","institution_ids":["https://openalex.org/I4210108719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111943176","display_name":"William A. Ward","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108719","display_name":"EP Analytics (United States)","ror":"https://ror.org/020emvx88","country_code":"US","type":"company","lineage":["https://openalex.org/I4210108719"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William A. Ward","raw_affiliation_strings":["EP Analytics"],"affiliations":[{"raw_affiliation_string":"EP Analytics","institution_ids":["https://openalex.org/I4210108719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074012666","display_name":"Roy Campbell","orcid":null},"institutions":[{"id":"https://openalex.org/I1330347796","display_name":"United States Department of Defense","ror":"https://ror.org/0447fe631","country_code":"US","type":"funder","lineage":["https://openalex.org/I1330347796"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roy Campbell","raw_affiliation_strings":["HPC Modernization Program, Department of Defense"],"affiliations":[{"raw_affiliation_string":"HPC Modernization Program, Department of Defense","institution_ids":["https://openalex.org/I1330347796"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021474358","display_name":"Laura Carrington","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108719","display_name":"EP Analytics (United States)","ror":"https://ror.org/020emvx88","country_code":"US","type":"company","lineage":["https://openalex.org/I4210108719"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laura Carrington","raw_affiliation_strings":["EP Analytics"],"affiliations":[{"raw_affiliation_string":"EP Analytics","institution_ids":["https://openalex.org/I4210108719"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5058184922"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":3.5315,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92567568,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"36","last_page":"45"},"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9998000264167786,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.8357599377632141},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7643368244171143},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.5518503785133362},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.541588306427002},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.514062762260437},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4831761419773102},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.47635650634765625},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.4596410095691681},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43932589888572693},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42427361011505127},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.36376142501831055},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3169978857040405},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.24247300624847412},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1868554651737213},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1341850757598877}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8357599377632141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7643368244171143},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.5518503785133362},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.541588306427002},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.514062762260437},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4831761419773102},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.47635650634765625},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.4596410095691681},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43932589888572693},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42427361011505127},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.36376142501831055},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3169978857040405},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.24247300624847412},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1868554651737213},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1341850757598877},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispass.2016.7482072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispass.2016.7482072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)","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":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W20702786","https://openalex.org/W59438603","https://openalex.org/W587200296","https://openalex.org/W1739149983","https://openalex.org/W1774460361","https://openalex.org/W1844153653","https://openalex.org/W1887324470","https://openalex.org/W1934230974","https://openalex.org/W1968881927","https://openalex.org/W2013173369","https://openalex.org/W2018764341","https://openalex.org/W2022036382","https://openalex.org/W2030823493","https://openalex.org/W2034062945","https://openalex.org/W2036514477","https://openalex.org/W2036853599","https://openalex.org/W2038387802","https://openalex.org/W2052897520","https://openalex.org/W2063884320","https://openalex.org/W2073775399","https://openalex.org/W2086248020","https://openalex.org/W2090552208","https://openalex.org/W2095954861","https://openalex.org/W2104142636","https://openalex.org/W2111530316","https://openalex.org/W2112121929","https://openalex.org/W2143141632","https://openalex.org/W2145904766","https://openalex.org/W2147657366","https://openalex.org/W2159065635","https://openalex.org/W2169875292","https://openalex.org/W2170066588","https://openalex.org/W2178735577","https://openalex.org/W2266304619","https://openalex.org/W2268868827","https://openalex.org/W2295742929","https://openalex.org/W2586259916","https://openalex.org/W2963498897","https://openalex.org/W4238760102","https://openalex.org/W6637563004","https://openalex.org/W6637896986","https://openalex.org/W6640586412","https://openalex.org/W6659948104","https://openalex.org/W6693540781","https://openalex.org/W6732947868"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W4386869550","https://openalex.org/W2075436644","https://openalex.org/W2182976482"],"abstract_inverted_index":{"This":[0],"paper":[1,149],"presents":[2],"the":[3,8,15,18,35,72,95,108,181,205,208,217,222,225,229],"first":[4,19],"comprehensive":[5],"study":[6,29],"of":[7,14,34,77,101,110,183,207,224,232],"performance,":[9],"power":[10],"and":[11,66,112,143,175,186,213],"energy":[12,80,113],"consumption":[13,81],"Applied-Micro":[16],"X-Gene,":[17],"commercially":[20],"available":[21,194],"64-bit":[22],"ARMv8":[23],"platform,":[24],"for":[25],"HPC":[26,45,92,218],"workloads.":[27],"Our":[28],"includes":[30],"a":[31,87,151],"detailed":[32,129],"comparison":[33],"X-Gene":[36,73,212],"to":[37,137,140,161,170,180,203],"three":[38],"other":[39],"architectural":[40,184],"design":[41,88],"points":[42],"common":[43],"in":[44,91,188,216],"systems.":[46],"Across":[47],"these":[48,233],"platforms,":[49],"we":[50],"perform":[51],"careful":[52],"measurements":[53],"across":[54],"400+":[55],"workloads,":[56],"covering":[57],"different":[58],"application":[59,190],"domains,":[60],"parallelization":[61],"models,":[62],"floating-point":[63],"precision":[64],"models":[65],"memory":[67,226],"intensities.":[68],"We":[69,198],"find":[70],"that":[71,124,133,221],"has":[74,134],"an":[75,83,99,119,131],"average":[76,100],"1.2\u00d7":[78],"better":[79],"than":[82,104],"Intel":[84],"Sandy":[85,96,214],"Bridge,":[86],"commonly":[89],"found":[90],"installations,":[93],"while":[94],"Bridge":[97,215],"is":[98,118,125,228],"2.3\u00d7":[102],"faster":[103],"X-Gene.":[105],"Precisely":[106],"quantifying":[107],"causes":[109,206],"performance":[111,177,191,209,223],"differences":[114,210],"between":[115,211],"two":[116],"platforms":[117],"important":[120],"but":[121],"challenging":[122],"problem":[123],"often":[126],"addressed":[127],"via":[128],"simulation,":[130],"approach":[132],"limited":[135],"ability":[136],"scale":[138],"up":[139],"full":[141],"applications":[142],"broad":[144],"workload":[145],"mixes.":[146],"Instead,":[147],"this":[148,163],"adopts":[150],"statistical":[152],"framework":[153],"called":[154],"Partial":[155],"Least":[156],"Squares":[157],"(PLS)":[158],"Path":[159,166,201],"Modeling":[160,167,202],"solve":[162],"problem.":[164],"PLS":[165,200],"allows":[168],"us":[169],"capture":[171],"complex":[172],"cause-effect":[173],"relationships":[174],"difficult-to-measure":[176],"concepts":[178],"relating":[179],"effectiveness":[182],"units":[185],"subsystems":[187],"improving":[189],"using":[192],"readily":[193],"hardware":[195],"counter":[196],"measurements.":[197],"use":[199],"quantify":[204],"domain,":[219],"finding":[220],"subsystem":[227],"dominant":[230],"cause":[231],"differences.":[234]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}