{"id":"https://openalex.org/W3176459841","doi":"https://doi.org/10.14778/3467861.3467869","title":"Tensors","display_name":"Tensors","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3176459841","doi":"https://doi.org/10.14778/3467861.3467869","mag":"3176459841"},"language":"en","primary_location":{"id":"doi:10.14778/3467861.3467869","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3467861.3467869","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.3929/ethz-b-000513207","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036865077","display_name":"Dimitrios Koutsoukos","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Dimitrios Koutsoukos","raw_affiliation_strings":["ETH Zurich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075059497","display_name":"Supun Nakandala","orcid":"https://orcid.org/0000-0002-2541-1944"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210140792","display_name":"Universidad Cat\u00f3lica Santo Domingo","ror":"https://ror.org/04ytq6y86","country_code":"DO","type":"education","lineage":["https://openalex.org/I4210140792"]}],"countries":["CH","DO"],"is_corresponding":false,"raw_author_name":"Supun Nakandala","raw_affiliation_strings":["UCSD","ETH Zurich UCSD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCSD","institution_ids":["https://openalex.org/I4210140792"]},{"raw_affiliation_string":"ETH Zurich UCSD","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053293674","display_name":"Konstantinos Karanasos","orcid":"https://orcid.org/0009-0007-6975-2568"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Konstantinos Karanasos","raw_affiliation_strings":["Microsoft"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011234989","display_name":"Karla Saur","orcid":"https://orcid.org/0009-0005-0741-5190"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Karla Saur","raw_affiliation_strings":["Microsoft"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103144919","display_name":"Gustavo Alonso","orcid":"https://orcid.org/0000-0002-4396-6695"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Gustavo Alonso","raw_affiliation_strings":["ETH Zurich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071206013","display_name":"Matteo Interlandi","orcid":"https://orcid.org/0000-0002-5756-8321"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Matteo Interlandi","raw_affiliation_strings":["Microsoft"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2475,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94808576,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"14","issue":"10","first_page":"1797","last_page":"1804"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9965999722480774,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7728370428085327},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5633648037910461},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5456283092498779},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49414971470832825},{"id":"https://openalex.org/keywords/massively-parallel","display_name":"Massively parallel","score":0.4610321819782257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4476878345012665},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.24798047542572021},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.21962732076644897}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7728370428085327},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5633648037910461},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5456283092498779},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49414971470832825},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.4610321819782257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4476878345012665},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.24798047542572021},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.21962732076644897}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.14778/3467861.3467869","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3467861.3467869","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:doi:10.3929/ethz-b-000513207","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11850/513207","pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"doi:10.3929/ethz-b-000513207","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-b-000513207","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.3929/ethz-b-000513207","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-b-000513207","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1448681276","https://openalex.org/W2019186666","https://openalex.org/W2038412523","https://openalex.org/W2055312318","https://openalex.org/W2106771621","https://openalex.org/W2146757372","https://openalex.org/W2159287299","https://openalex.org/W2173213060","https://openalex.org/W2295598076","https://openalex.org/W2406955896","https://openalex.org/W2433992225","https://openalex.org/W2548100623","https://openalex.org/W2585469311","https://openalex.org/W2590246587","https://openalex.org/W2604255113","https://openalex.org/W2794632349","https://openalex.org/W2804032941","https://openalex.org/W2809349882","https://openalex.org/W2897173745","https://openalex.org/W2922522433","https://openalex.org/W2953212265","https://openalex.org/W2955738001","https://openalex.org/W2963114857","https://openalex.org/W2964357930","https://openalex.org/W2979365412","https://openalex.org/W2981758446","https://openalex.org/W2982036057","https://openalex.org/W2997591727","https://openalex.org/W3032789239","https://openalex.org/W3042803431","https://openalex.org/W3043050134","https://openalex.org/W3082570516","https://openalex.org/W3105815789","https://openalex.org/W4251637954"],"related_works":["https://openalex.org/W1970433854","https://openalex.org/W2023867642","https://openalex.org/W1905852083","https://openalex.org/W575709247","https://openalex.org/W201527569","https://openalex.org/W113996306","https://openalex.org/W81589881","https://openalex.org/W2097928005","https://openalex.org/W2737726587","https://openalex.org/W1976044314"],"abstract_inverted_index":{"Deep":[0],"Learning":[1],"(DL)":[2],"has":[3,25],"created":[4],"a":[5,22,35,77,168],"growing":[6],"demand":[7],"for":[8],"simpler":[9],"ways":[10,17],"to":[11,18,33,65,95,100,108,176,182],"develop":[12],"complex":[13],"models":[14,39],"and":[15,40,43,47,143,156,187,207],"efficient":[16,87],"execute":[19],"them.":[20,73],"Thus,":[21],"significant":[23],"effort":[24],"gone":[26],"into":[27,191],"frameworks":[28,52,82],"like":[29],"PyTorch":[30],"or":[31],"TensorFlow":[32],"support":[34,116],"variety":[36],"of":[37,59,89,129,218,223],"DL":[38,60,96],"run":[41],"efficiently":[42],"seamlessly":[44],"over":[45],"heterogeneous":[46],"distributed":[48],"hardware.":[49],"Since":[50],"these":[51,81],"will":[53],"continue":[54],"improving":[55],"given":[56],"the":[57,86,130,199,213,219],"predominance":[58],"workloads,":[61],"it":[62],"is":[63,75,196],"natural":[64],"ask":[66],"what":[67,109,160],"else":[68],"can":[69,115,126,162],"be":[70],"done":[71],"with":[72],"This":[74],"not":[76],"trivial":[78],"question":[79],"since":[80],"are":[83,92,138],"based":[84],"on":[85,133,166],"implementation":[88],"tensors,":[90],"which":[91],"well":[93,159],"adapted":[94],"but,":[97],"in":[98,140,153],"principle,":[99],"nothing":[101],"else.":[102],"In":[103,135],"this":[104],"paper":[105],"we":[106,137,179],"explore":[107,180],"extent":[110],"Tensor":[111],"Computation":[112],"Runtimes":[113],"(TCRs)":[114],"non-ML":[117],"data":[118],"processing":[119,142,186],"applications,":[120],"so":[121],"that":[122],"other":[123],"use":[124,147],"cases":[125,148],"take":[127],"advantage":[128,217],"investments":[131],"made":[132],"TCRs.":[134,224],"particular,":[136],"interested":[139],"graph":[141,185],"relational":[144,188],"operators,":[145],"two":[146],"very":[149],"different":[150],"from":[151],"ML,":[152],"high":[154],"demand,":[155],"complement":[157],"quite":[158],"TCRs":[161],"do":[163],"today.":[164],"Building":[165],"HUMMINGBIRD,":[167],"recent":[169],"platform":[170],"converting":[171],"traditional":[172],"machine":[173],"learning":[174],"algorithms":[175,190],"tensor":[177,192],"computations,":[178],"how":[181],"map":[183],"selected":[184],"operator":[189],"computations.":[193],"Our":[194],"vision":[195],"supported":[197],"by":[198],"results:":[200],"our":[201],"code":[202],"often":[203],"outperforms":[204],"custom-built":[205],"C++":[206],"CUDA":[208],"kernels,":[209],"while":[210],"massively":[211],"reducing":[212],"development":[214],"effort,":[215],"taking":[216],"cross-platform":[220],"compilation":[221],"capabilities":[222]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2021-07-05T00:00:00"}
