{"id":"https://openalex.org/W4241140669","doi":"https://doi.org/10.1109/micro.2016.7783759","title":"Graphicionado: A high-performance and energy-efficient accelerator for graph analytics","display_name":"Graphicionado: A high-performance and energy-efficient accelerator for graph analytics","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W4241140669","doi":"https://doi.org/10.1109/micro.2016.7783759"},"language":"en","primary_location":{"id":"doi:10.1109/micro.2016.7783759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/micro.2016.7783759","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/A5015869752","display_name":"Tae Jun Ham","orcid":"https://orcid.org/0000-0002-2669-6849"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tae Jun Ham","raw_affiliation_strings":["Princeton University"],"affiliations":[{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110878844","display_name":"Lisa Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lisa Wu","raw_affiliation_strings":["University of California, Berkeley"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110744540","display_name":"Narayanan Sundaram","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Narayanan Sundaram","raw_affiliation_strings":["Parallel Computing Lab, Intel Corporation"],"affiliations":[{"raw_affiliation_string":"Parallel Computing Lab, Intel Corporation","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111985072","display_name":"Nadathur Satish","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nadathur Satish","raw_affiliation_strings":["Parallel Computing Lab, Intel Corporation"],"affiliations":[{"raw_affiliation_string":"Parallel Computing Lab, Intel Corporation","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002015508","display_name":"Margaret Martonosi","orcid":"https://orcid.org/0000-0001-9683-8032"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Margaret Martonosi","raw_affiliation_strings":["Princeton University"],"affiliations":[{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015869752"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":10.6883,"has_fulltext":false,"cited_by_count":267,"citation_normalized_percentile":{"value":0.98909158,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9947999715805054,"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/computer-science","display_name":"Computer science","score":0.8558342456817627},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6399734020233154},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5529853105545044},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5453989505767822},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5130009055137634},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4987006187438965},{"id":"https://openalex.org/keywords/xeon-phi","display_name":"Xeon Phi","score":0.47757604718208313},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.44864022731781006},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4462583363056183},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39725613594055176},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3218953311443329},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.24649548530578613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8558342456817627},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6399734020233154},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5529853105545044},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5453989505767822},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5130009055137634},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4987006187438965},{"id":"https://openalex.org/C96972482","wikidata":"https://www.wikidata.org/wiki/Q1049168","display_name":"Xeon Phi","level":2,"score":0.47757604718208313},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.44864022731781006},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4462583363056183},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39725613594055176},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3218953311443329},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.24649548530578613},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/micro.2016.7783759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/micro.2016.7783759","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":[{"score":0.8500000238418579,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W22572007","https://openalex.org/W78077100","https://openalex.org/W1482680420","https://openalex.org/W1783256592","https://openalex.org/W1788180225","https://openalex.org/W1854214752","https://openalex.org/W1910302617","https://openalex.org/W1981943579","https://openalex.org/W1983394510","https://openalex.org/W1987634495","https://openalex.org/W2000967104","https://openalex.org/W2009553719","https://openalex.org/W2035080386","https://openalex.org/W2042545849","https://openalex.org/W2047443612","https://openalex.org/W2053076698","https://openalex.org/W2062140606","https://openalex.org/W2101196063","https://openalex.org/W2103498248","https://openalex.org/W2104329103","https://openalex.org/W2120655454","https://openalex.org/W2123538390","https://openalex.org/W2141380216","https://openalex.org/W2142731895","https://openalex.org/W2162639668","https://openalex.org/W2167927436","https://openalex.org/W2170616854","https://openalex.org/W2170794761","https://openalex.org/W2261808795","https://openalex.org/W2282294254","https://openalex.org/W2284169075","https://openalex.org/W2544590774","https://openalex.org/W2951135776","https://openalex.org/W4233749681","https://openalex.org/W4235101327","https://openalex.org/W6600944653","https://openalex.org/W6603201521","https://openalex.org/W6638233953","https://openalex.org/W6703949738"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W17155033","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W947442053"],"abstract_inverted_index":{"Graphs":[0],"are":[1],"one":[2],"of":[3,16,29,43,56,83,116],"the":[4,14,38,79,84,92,105],"key":[5],"data":[6,69],"structures":[7],"for":[8,52],"many":[9],"real-world":[10],"computing":[11],"applications":[12,100],"and":[13,40,128],"importance":[15],"graph":[17,24,30,44,57,62,98,160],"analytics":[18,58,63,99,161],"is":[19],"ever-growing.":[20],"While":[21],"existing":[22],"software":[23,159],"processing":[25,55,162],"frameworks":[26],"improve":[27],"programmability":[28],"analytics,":[31],"underlying":[32],"general":[33],"purpose":[34],"processors":[35],"still":[36],"limit":[37],"performance":[39],"energy":[41,154],"efficiency":[42],"analytics.":[45],"We":[46],"architect":[47],"a":[48,113,147,157,168],"domain-specific":[49],"accelerator,":[50],"Graphicionado,":[51],"high-performance,":[53],"energy-efficient":[54],"workloads.":[59],"For":[60],"efficient":[61],"processing,":[64],"Graphicionado":[65,90,122,133,145],"exploits":[66],"not":[67],"only":[68],"structure-centric":[70],"datapath":[71],"specialization,":[72,77],"but":[73],"also":[74],"memory":[75],"subsystem":[76],"all":[78],"while":[80,109,150],"taking":[81],"advantage":[82],"parallelism":[85],"inherent":[86],"in":[87,126],"this":[88],"domain.":[89],"augments":[91],"vertex":[93],"programming":[94],"paradigm,":[95],"allowing":[96],"different":[97],"to":[101,104,156],"be":[102],"mapped":[103],"same":[106],"accelerator":[107],"framework,":[108],"maintaining":[110],"flexibility":[111],"through":[112],"small":[114],"set":[115],"reconfigurable":[117],"blocks.":[118],"This":[119],"paper":[120],"describes":[121],"pipeline":[123],"design":[124],"choices":[125],"detail":[127],"gives":[129],"insights":[130],"on":[131,138,167],"how":[132],"combats":[134],"application":[135],"execution":[136],"inefficiencies":[137],"general-purpose":[139],"CPUs.":[140],"Our":[141],"results":[142],"show":[143],"that":[144],"achieves":[146],"1.76-6.54x":[148],"speedup":[149],"consuming":[151],"50-100x":[152],"less":[153],"compared":[155],"state-of-the-art":[158],"framework":[163],"executing":[164],"32":[165],"threads":[166],"16-core":[169],"Haswell":[170],"Xeon":[171],"processor.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":36},{"year":2022,"cited_by_count":43},{"year":2021,"cited_by_count":47},{"year":2020,"cited_by_count":33},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":26},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":1}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}