{"id":"https://openalex.org/W2054177285","doi":"https://doi.org/10.1145/1945023.1945029","title":"Challenges and opportunities for efficient computing with FAWN","display_name":"Challenges and opportunities for efficient computing with FAWN","publication_year":2011,"publication_date":"2011-02-18","ids":{"openalex":"https://openalex.org/W2054177285","doi":"https://doi.org/10.1145/1945023.1945029","mag":"2054177285"},"language":"en","primary_location":{"id":"doi:10.1145/1945023.1945029","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1945023.1945029","pdf_url":null,"source":{"id":"https://openalex.org/S50071195","display_name":"ACM SIGOPS Operating Systems Review","issn_l":"0163-5980","issn":["0163-5980","1943-586X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGOPS Operating Systems Review","raw_type":"journal-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/A5004650249","display_name":"Vijay Vasudevan","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay Vasudevan","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085479490","display_name":"David G. Andersen","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David G. Andersen","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052885090","display_name":"Michael Kaminsky","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael Kaminsky","raw_affiliation_strings":["Intel Labs Pittsburgh","Intel Labs, Pittsburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Labs Pittsburgh","institution_ids":["https://openalex.org/I4210158342"]},{"raw_affiliation_string":"Intel Labs, Pittsburgh","institution_ids":["https://openalex.org/I4210158342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043574188","display_name":"Jason Franklin","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason Franklin","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068719520","display_name":"Michael A. Kozuch","orcid":"https://orcid.org/0009-0009-0939-3297"},"institutions":[{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael A. Kozuch","raw_affiliation_strings":["Intel Labs Pittsburgh","Intel Labs, Pittsburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Labs Pittsburgh","institution_ids":["https://openalex.org/I4210158342"]},{"raw_affiliation_string":"Intel Labs, Pittsburgh","institution_ids":["https://openalex.org/I4210158342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082058927","display_name":"Iulian Moraru","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Iulian Moraru","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080166041","display_name":"Padmanabhan Pillai","orcid":"https://orcid.org/0000-0003-0171-020X"},"institutions":[{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Padmanabhan Pillai","raw_affiliation_strings":["Intel Labs Pittsburgh","Intel Labs, Pittsburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Labs Pittsburgh","institution_ids":["https://openalex.org/I4210158342"]},{"raw_affiliation_string":"Intel Labs, Pittsburgh","institution_ids":["https://openalex.org/I4210158342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022382062","display_name":"Lawrence Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence Tan","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7589,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8308825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"45","issue":"1","first_page":"34","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9990000128746033,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9988999962806702,"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/computer-science","display_name":"Computer science","score":0.8877261877059937},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6465953588485718},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.527729868888855},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.49211806058883667},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4760850965976715},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.424399197101593},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4209528863430023},{"id":"https://openalex.org/keywords/many-core","display_name":"Many core","score":0.4127601385116577},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3525635004043579}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8877261877059937},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6465953588485718},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.527729868888855},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.49211806058883667},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4760850965976715},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.424399197101593},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4209528863430023},{"id":"https://openalex.org/C3020431745","wikidata":"https://www.wikidata.org/wiki/Q25325220","display_name":"Many core","level":2,"score":0.4127601385116577},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3525635004043579},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1945023.1945029","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1945023.1945029","pdf_url":null,"source":{"id":"https://openalex.org/S50071195","display_name":"ACM SIGOPS Operating Systems Review","issn_l":"0163-5980","issn":["0163-5980","1943-586X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGOPS Operating Systems Review","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.208.458","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/%7Edga/papers/fawn-osr2011.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8799999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W530071","https://openalex.org/W104760988","https://openalex.org/W151871119","https://openalex.org/W1526843360","https://openalex.org/W1549352151","https://openalex.org/W1815612875","https://openalex.org/W1967138129","https://openalex.org/W1999377222","https://openalex.org/W2103565249","https://openalex.org/W2121288607","https://openalex.org/W2122465391","https://openalex.org/W2125499854","https://openalex.org/W2133394135","https://openalex.org/W2133718097","https://openalex.org/W2134807578","https://openalex.org/W2144595596","https://openalex.org/W2154596969","https://openalex.org/W2171299219","https://openalex.org/W2234864826","https://openalex.org/W2340519882","https://openalex.org/W3150290710","https://openalex.org/W4243307943","https://openalex.org/W4254772511","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2588198209","https://openalex.org/W1909006023","https://openalex.org/W2794940521","https://openalex.org/W2099708455","https://openalex.org/W2371762158","https://openalex.org/W2471810183","https://openalex.org/W3188176114","https://openalex.org/W2145929661","https://openalex.org/W2053400496","https://openalex.org/W2023451596"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,40,103],"architecture":[4,12,119],"and":[5,51,73,81],"motivation":[6],"for":[7,13,48,120],"a":[8,18,26,45,56,113],"clusterbased,":[9],"many-core":[10],"computing":[11,41],"energy-efficient,":[14],"dataintensive":[15],"computing.":[16],"FAWN,":[17],"Fast":[19],"Array":[20],"of":[21,25,29,58,102,106],"Wimpy":[22],"Nodes,":[23],"consists":[24],"large":[27],"number":[28],"slower":[30],"but":[31],"efficient":[32,95],"nodes":[33,67],"coupled":[34],"with":[35,55,99],"low-power":[36],"storage.":[37,52],"We":[38,53,97],"present":[39],"trends":[42],"that":[43,108],"motivate":[44],"FAWN-like":[46],"approach,":[47],"CPU,":[49],"memory,":[50],"follow":[54],"set":[57],"microbenchmarks":[59],"to":[60,85,90,111],"explore":[61],"under":[62],"what":[63],"workloads":[64],"these":[65],"FAWN":[66,107,122],"perform":[68,71,91],"well":[69,92],"(or":[70],"poorly),":[72],"briefly":[74],"examine":[75],"scenarios":[76],"in":[77],"which":[78],"both":[79],"code":[80],"algorithms":[82],"may":[83],"need":[84],"be":[86],"re-designed":[87],"or":[88],"optimized":[89],"on":[93],"an":[94,100],"platform.":[96],"conclude":[98],"outline":[101],"longer-term":[104],"implications":[105],"lead":[109],"us":[110],"select":[112],"tightly":[114],"integrated":[115],"stacked":[116],"chip":[117],"and-memory":[118],"future":[121],"development.":[123]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}