{"id":"https://openalex.org/W2586877049","doi":"https://doi.org/10.1145/3078597.3078607","title":"knor","display_name":"knor","publication_year":2017,"publication_date":"2017-06-23","ids":{"openalex":"https://openalex.org/W2586877049","doi":"https://doi.org/10.1145/3078597.3078607","mag":"2586877049"},"language":"en","primary_location":{"id":"doi:10.1145/3078597.3078607","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3078597.3078607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing","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/A5000100329","display_name":"Disa Mhembere","orcid":"https://orcid.org/0000-0003-2840-2127"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Disa Mhembere","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060763203","display_name":"Da Zheng","orcid":"https://orcid.org/0000-0001-8115-5415"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Da Zheng","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031834098","display_name":"Carey E. Priebe","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carey E. Priebe","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065441417","display_name":"Joshua T Vogelstein","orcid":"https://orcid.org/0000-0003-2487-6237"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua T. Vogelstein","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084849539","display_name":"Randal Burns","orcid":"https://orcid.org/0000-0002-2924-1997"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Randal Burns","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000100329"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":0.8376,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.68046609,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12527","display_name":"Chemistry and Stereochemistry Studies","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12527","display_name":"Chemistry and Stereochemistry Studies","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46687978506088257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46687978506088257}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3078597.3078607","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3078597.3078607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W55148500","https://openalex.org/W603723648","https://openalex.org/W1425731158","https://openalex.org/W1529454099","https://openalex.org/W1575350781","https://openalex.org/W1624140875","https://openalex.org/W1893161742","https://openalex.org/W1896160955","https://openalex.org/W1945708402","https://openalex.org/W1982056505","https://openalex.org/W1988425770","https://openalex.org/W1993695976","https://openalex.org/W2002830978","https://openalex.org/W2013917929","https://openalex.org/W2044782015","https://openalex.org/W2049633694","https://openalex.org/W2049881004","https://openalex.org/W2095875205","https://openalex.org/W2101234009","https://openalex.org/W2103656237","https://openalex.org/W2108169091","https://openalex.org/W2116762767","https://openalex.org/W2118190603","https://openalex.org/W2122465391","https://openalex.org/W2123427850","https://openalex.org/W2131975293","https://openalex.org/W2142838865","https://openalex.org/W2149684715","https://openalex.org/W2150376021","https://openalex.org/W2150593711","https://openalex.org/W2171852577","https://openalex.org/W2189465200","https://openalex.org/W2341535507","https://openalex.org/W2503054239","https://openalex.org/W2582743722","https://openalex.org/W2604272474","https://openalex.org/W2800394774","https://openalex.org/W2912516925","https://openalex.org/W2962744241","https://openalex.org/W2997591727","https://openalex.org/W4247950230","https://openalex.org/W4250042253","https://openalex.org/W4285719527","https://openalex.org/W6618549861","https://openalex.org/W6634431598","https://openalex.org/W6675736971","https://openalex.org/W6676065256","https://openalex.org/W6677939283","https://openalex.org/W6682335648","https://openalex.org/W6685529966","https://openalex.org/W6687322159","https://openalex.org/W6703949738","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"k-means":[0,31,51,77,103],"is":[1],"one":[2],"of":[3,19,34,76,94,102,114,123,165,190,194],"the":[4,15,74,100,124,143,161,166],"most":[5],"influential":[6],"and":[7,17,23,29,46,65,81,182],"utilized":[8],"machine":[9,24,89],"learning":[10,25],"algorithms.":[11],"Its":[12],"computation":[13,141],"limits":[14],"performance":[16,75,86,134],"scalability":[18,101],"many":[20],"statistical":[21],"analysis":[22],"tasks.":[26],"We":[27,169],"rethink":[28],"optimize":[30],"in":[32,142],"terms":[33],"modern":[35],"NUMA":[36,52],"architectures":[37],"to":[38,112,196],"develop":[39],"a":[40,105,117,121],"novel":[41],"parallelization":[42],"scheme":[43],"that":[44,71,126,153],"delays":[45],"minimizes":[47],"synchronization":[48],"barriers.":[49],"The":[50],"Optimized":[53],"Routine":[54],"knor)":[55],"library":[56],"has":[57],"(i)":[58],"in-memory":[59,128,138],"knori),":[60],"(ii)":[61,66],"distributed":[62,127,140,173],"memory":[63,68,80,106,163],"(knord),":[64],"semi-external":[67],"(\\textsf{knors})":[69],"modules":[70],"radically":[72],"improve":[73],"for":[78,87,192],"varying":[79],"hardware":[82],"budgets.":[83],"knori":[84],"boosts":[85],"single":[88,118],"datasets":[90,159,193],"by":[91,185],"an":[92,188],"order":[93,189],"magnitude":[95,191],"or":[96],"more.":[97],"\\textsf{knors}":[98],"improves":[99],"on":[104,116,157],"budget":[107],"using":[108,120],"SSDs.":[109],"knors":[110],"scales":[111],"billions":[113],"points":[115],"machine,":[119],"fraction":[122],"resources":[125],"systems":[129],"require.":[130],"knord":[131],"retains":[132],"knori's":[133],"characteristics,":[135],"while":[136],"scaling":[137],"through":[139],"cloud.":[144],"knor":[145,171],"modifies":[146],"Elkan's":[147],"triangle":[148],"inequality":[149],"pruning":[150],"algorithm":[151],"such":[152],"we":[154],"utilize":[155],"it":[156],"billion-point":[158],"without":[160],"significant":[162],"overhead":[164],"original":[167],"algorithm.":[168],"demonstrate":[170],"outperforms":[172],"commercial":[174],"products":[175],"like":[176],"H2O,":[177],"Turi":[178],"(formerly":[179],"Dato,":[180],"GraphLab)":[181],"Spark's":[183],"MLlib":[184],"more":[186],"than":[187],"107":[195],"109":[197],"points.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-02-17T00:00:00"}
