{"id":"https://openalex.org/W4408715935","doi":"https://doi.org/10.1109/tpds.2025.3553092","title":"Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation","display_name":"Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation","publication_year":2025,"publication_date":"2025-03-21","ids":{"openalex":"https://openalex.org/W4408715935","doi":"https://doi.org/10.1109/tpds.2025.3553092"},"language":"en","primary_location":{"id":"doi:10.1109/tpds.2025.3553092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2025.3553092","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Parallel and Distributed Systems","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/A5031307529","display_name":"Jan Laukemann","orcid":"https://orcid.org/0000-0002-3776-9353"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jan Laukemann","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg and Erlangen National High Performance Computing Center, Erlangen, Germany","Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg and Erlangen National High Performance Computing Center, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3776-9353","affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg and Erlangen National High Performance Computing Center, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg and Erlangen National High Performance Computing Center, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090060327","display_name":"Ahmed E. Helal","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":"Ahmed E. Helal","raw_affiliation_strings":["Intel Labs, Santa Clara, CA, USA","Intel Labs, USA"],"raw_orcid":"https://orcid.org/0009-0000-4847-8589","affiliations":[{"raw_affiliation_string":"Intel Labs, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Intel Labs, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081469646","display_name":"S. Isaac Geronimo Anderson","orcid":null},"institutions":[{"id":"https://openalex.org/I181233156","display_name":"University of Oregon","ror":"https://ror.org/0293rh119","country_code":"US","type":"education","lineage":["https://openalex.org/I181233156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Isaac Geronimo Anderson","raw_affiliation_strings":["University of Oregon, Eugene, OR, USA","University of Oregon, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oregon, Eugene, OR, USA","institution_ids":["https://openalex.org/I181233156"]},{"raw_affiliation_string":"University of Oregon, USA","institution_ids":["https://openalex.org/I181233156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047885427","display_name":"Fabio Checconi","orcid":"https://orcid.org/0000-0002-7279-8459"},"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":"Fabio Checconi","raw_affiliation_strings":["Intel Labs, Santa Clara, CA, USA","Intel Labs, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Labs, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Intel Labs, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065069377","display_name":"Yongseok Soh","orcid":"https://orcid.org/0009-0000-8358-4993"},"institutions":[{"id":"https://openalex.org/I181233156","display_name":"University of Oregon","ror":"https://ror.org/0293rh119","country_code":"US","type":"education","lineage":["https://openalex.org/I181233156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongseok Soh","raw_affiliation_strings":["University of Oregon, Eugene, OR, USA","University of Oregon, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oregon, Eugene, OR, USA","institution_ids":["https://openalex.org/I181233156"]},{"raw_affiliation_string":"University of Oregon, USA","institution_ids":["https://openalex.org/I181233156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026593207","display_name":"Jesmin Jahan Tithi","orcid":"https://orcid.org/0000-0002-2861-8393"},"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":"Jesmin Jahan Tithi","raw_affiliation_strings":["Intel Labs, Santa Clara, CA, USA","Intel Labs, USA"],"raw_orcid":"https://orcid.org/0000-0002-2861-8393","affiliations":[{"raw_affiliation_string":"Intel Labs, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Intel Labs, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049815529","display_name":"Teresa Ranadive","orcid":null},"institutions":[{"id":"https://openalex.org/I2801768934","display_name":"Defense Information School","ror":"https://ror.org/04t5yz624","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I2801768934"]},{"id":"https://openalex.org/I4210113003","display_name":"Physical Sciences (United States)","ror":"https://ror.org/021qvjc46","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Teresa Ranadive","raw_affiliation_strings":["Laboratory for Physical Sciences, Fort Meade, MD, USA","Laboratory for Physical Sciences, USA"],"raw_orcid":"https://orcid.org/0000-0001-5418-6259","affiliations":[{"raw_affiliation_string":"Laboratory for Physical Sciences, Fort Meade, MD, USA","institution_ids":["https://openalex.org/I2801768934"]},{"raw_affiliation_string":"Laboratory for Physical Sciences, USA","institution_ids":["https://openalex.org/I4210113003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083598132","display_name":"Brian Gravelle","orcid":null},"institutions":[{"id":"https://openalex.org/I2801768934","display_name":"Defense Information School","ror":"https://ror.org/04t5yz624","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I2801768934"]},{"id":"https://openalex.org/I4210113003","display_name":"Physical Sciences (United States)","ror":"https://ror.org/021qvjc46","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian J. Gravelle","raw_affiliation_strings":["Laboratory for Physical Sciences, Fort Meade, MD, USA","Laboratory for Physical Sciences, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Physical Sciences, Fort Meade, MD, USA","institution_ids":["https://openalex.org/I2801768934"]},{"raw_affiliation_string":"Laboratory for Physical Sciences, USA","institution_ids":["https://openalex.org/I4210113003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066195314","display_name":"Fabrizio Petrini","orcid":"https://orcid.org/0000-0002-4977-7107"},"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":"Fabrizio Petrini","raw_affiliation_strings":["Intel Labs, Santa Clara, CA, USA","Intel Labs, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Labs, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Intel Labs, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090972683","display_name":"Jee Choi","orcid":"https://orcid.org/0000-0002-6938-8221"},"institutions":[{"id":"https://openalex.org/I181233156","display_name":"University of Oregon","ror":"https://ror.org/0293rh119","country_code":"US","type":"education","lineage":["https://openalex.org/I181233156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jee Choi","raw_affiliation_strings":["University of Oregon, Eugene, OR, USA","University of Oregon, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oregon, Eugene, OR, USA","institution_ids":["https://openalex.org/I181233156"]},{"raw_affiliation_string":"University of Oregon, USA","institution_ids":["https://openalex.org/I181233156"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5365,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78733032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"36","issue":"5","first_page":"1025","last_page":"1041"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9509999752044678,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7079695463180542},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6130967736244202},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6112886071205139},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5125343799591064},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.5030588507652283},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4817507266998291},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.46168532967567444},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.453264445066452},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36110442876815796},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.359176903963089},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2167741358280182},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11293032765388489}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7079695463180542},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6130967736244202},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6112886071205139},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5125343799591064},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.5030588507652283},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4817507266998291},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.46168532967567444},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.453264445066452},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36110442876815796},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.359176903963089},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2167741358280182},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11293032765388489},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tpds.2025.3553092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2025.3553092","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Parallel and Distributed Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1511885491","https://openalex.org/W1574504252","https://openalex.org/W1864134408","https://openalex.org/W1969116741","https://openalex.org/W1976801265","https://openalex.org/W1988720938","https://openalex.org/W2002555321","https://openalex.org/W2024165284","https://openalex.org/W2024356620","https://openalex.org/W2037360998","https://openalex.org/W2079487069","https://openalex.org/W2108138101","https://openalex.org/W2119511382","https://openalex.org/W2245094585","https://openalex.org/W2262232454","https://openalex.org/W2469230926","https://openalex.org/W2495615773","https://openalex.org/W2528907418","https://openalex.org/W2541878878","https://openalex.org/W2592422147","https://openalex.org/W2616934551","https://openalex.org/W2731053425","https://openalex.org/W2741701794","https://openalex.org/W2788264912","https://openalex.org/W2788597588","https://openalex.org/W2885801207","https://openalex.org/W2893530532","https://openalex.org/W2897675008","https://openalex.org/W2898123186","https://openalex.org/W2902289997","https://openalex.org/W2902783593","https://openalex.org/W2951178714","https://openalex.org/W2952598959","https://openalex.org/W2963768428","https://openalex.org/W2971508019","https://openalex.org/W2986686333","https://openalex.org/W3033124768","https://openalex.org/W3113993425","https://openalex.org/W3129727110","https://openalex.org/W3131137184","https://openalex.org/W4246962530","https://openalex.org/W4282975603","https://openalex.org/W4285609561","https://openalex.org/W4319870531","https://openalex.org/W4324292875","https://openalex.org/W4384705463","https://openalex.org/W4388483325","https://openalex.org/W6676039487","https://openalex.org/W6713134421","https://openalex.org/W6765119895","https://openalex.org/W6917257265"],"related_works":["https://openalex.org/W2091883426","https://openalex.org/W4379256054","https://openalex.org/W3173235360","https://openalex.org/W2174948646","https://openalex.org/W2024017047","https://openalex.org/W2093953080","https://openalex.org/W2911706637","https://openalex.org/W4318256793","https://openalex.org/W47805180","https://openalex.org/W3216281372"],"abstract_inverted_index":{"High-dimensional":[0],"sparse":[1,38,67,97,177,246],"data":[2,45,191,255],"emerge":[3],"in":[4,90,108],"many":[5],"critical":[6],"application":[7],"domains":[8],"such":[9],"as":[10],"healthcare":[11],"and":[12,44,119,125,147,204,232],"cybersecurity.":[13],"To":[14,154],"extract":[15],"meaningful":[16],"insights":[17],"from":[18,117],"massive":[19],"volumes":[20],"of":[21,55,151,176,183,193,215,221,253,291,314],"these":[22],"multi-dimensional":[23],"data,":[24],"scientists":[25],"employ":[26],"unsupervised":[27],"analysis":[28],"tools":[29],"based":[30,243],"on":[31,218,244],"tensor":[32,73,98,133,137,194,247,281],"decomposition":[33],"(TD)":[34],"methods.":[35],"However,":[36],"real-world":[37,254],"tensors":[39,68,107],"exhibit":[40],"highly":[41],"irregular":[42,149],"shapes":[43],"distributions,":[46],"which":[47,278,304],"pose":[48],"significant":[49],"challenges":[50],"for":[51],"making":[52],"efficient":[53,86],"use":[54],"modern":[56],"parallel":[57,126,184,206],"processors.":[58],"This":[59],"study":[60],"breaks":[61],"the":[62,144,148,156,167,189,211,222,240,245,258,268,274,300],"prevailing":[63],"assumption":[64],"that":[65,112,139,165,187],"compressing":[66],"into":[69],"coarse-grained":[70],"structures":[71],"(i.e.,":[72,82],"slices":[74],"or":[75,77],"blocks)":[76],"along":[78],"a":[79,91,109,181,250,287],"particular":[80],"dimension/mode":[81],"mode-specific)":[83],"is":[84,120,140],"more":[85,262],"than":[87,263],"keeping":[88],"them":[89],"fine-grained,":[92],"mode-agnostic":[93,270],"form.":[94],"Our":[95],"novel":[96],"representation,":[99],"Adaptive":[100],"Linearized":[101],"Tensor":[102],"Order":[103],"(${\\sf":[104],"ALTO}$),":[105],"encodes":[106],"compact":[110],"format":[111],"can":[113],"be":[114],"easily":[115],"streamed":[116],"memory":[118,202,316],"amenable":[121],"to":[122,130,142,196,237,273],"both":[123,143],"caching":[124],"execution.":[127],"In":[128],"contrast":[129],"existing":[131],"compressed":[132],"formats,${\\sf":[134],"ALTO}$constructs":[135],"one":[136],"copy":[138],"agnostic":[141],"mode":[145],"orientation":[146],"distribution":[150],"nonzero":[152],"elements.":[153],"demonstrate":[155],"efficacy":[157],"of${\\sf":[158],"ALTO}$,":[159],"we":[160,209],"accelerate":[161],"popular":[162],"TD":[163,185,216],"methods":[164,217],"compute":[166],"Canonical":[168],"Polyadic":[169],"Decomposition":[170],"(CPD)":[171],"model":[172],"across":[173],"different":[174],"types":[175],"tensors.":[178],"We":[179],"propose":[180],"set":[182,252],"algorithms":[186],"exploit":[188],"inherent":[190],"reuse":[192],"computations":[195,306],"substantially":[197],"reduce":[198],"synchronization":[199],"overhead,":[200],"decrease":[201],"footprint,":[203],"improve":[205],"performance.":[207],"Additionally,":[208],"characterize":[210],"major":[212],"execution":[213],"bottlenecks":[214],"multiple":[219,280],"generations":[220],"latest":[223],"Intel":[224],"Xeon":[225],"Scalable":[226],"processors,":[227],"including":[228],"Sapphire":[229],"Rapids":[230],"CPUs,":[231],"introduce":[233],"dynamic":[234],"adaptation":[235],"heuristics":[236],"automatically":[238],"select":[239],"best":[241,269,275],"algorithm":[242],"characteristics.":[248],"Across":[249],"diverse":[251],"sets,${\\sf":[256],"ALTO}$outperforms":[257],"state-of-the-art":[259,301],"approaches,":[260],"achieving":[261],"an":[264],"order-of-magnitude":[265],"speedup":[266,285,298],"over":[267,299],"formats.":[271],"Compared":[272],"mode-specific":[276],"formats,":[277],"require":[279],"copies,${\\sf":[282],"ALTO}$achieves$5.1\\times$geometric":[283],"mean":[284,297],"at":[286],"fraction":[288],"(25%":[289],")":[290],"their":[292],"storage":[293],"costs.":[294],"Moreover,${\\sf":[295],"ALTO}$obtains$8.4\\times$geometric":[296],"memoization":[302],"approach,":[303],"reduces":[305],"by":[307],"using":[308],"extra":[309],"memory,":[310],"while":[311],"requiring":[312],"14%":[313],"its":[315],"consumption.":[317]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
