{"id":"https://openalex.org/W3204863860","doi":"https://doi.org/10.1109/jsait.2022.3186908","title":"A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation","display_name":"A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W3204863860","doi":"https://doi.org/10.1109/jsait.2022.3186908","mag":"3204863860"},"language":"en","primary_location":{"id":"doi:10.1109/jsait.2022.3186908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsait.2022.3186908","pdf_url":null,"source":{"id":"https://openalex.org/S4210211895","display_name":"IEEE Journal on Selected Areas in Information Theory","issn_l":"2641-8770","issn":["2641-8770"],"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 Journal on Selected Areas in Information Theory","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/A5029951257","display_name":"Anindya Bijoy Das","orcid":"https://orcid.org/0000-0002-3615-7400"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]},{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anindya Bijoy Das","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA","Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0002-3615-7400","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]},{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055656185","display_name":"Aditya Ramamoorthy","orcid":"https://orcid.org/0000-0003-3448-1271"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aditya Ramamoorthy","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3448-1271","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2197,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89169372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"3","issue":"2","first_page":"241","last_page":"256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9998000264167786,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9983999729156494,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7535043954849243},{"id":"https://openalex.org/keywords/block-matrix","display_name":"Block matrix","score":0.7440805435180664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7152105569839478},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5165120959281921},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5140193700790405},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5005600452423096},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4498054087162018},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.44329890608787537},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.40823137760162354},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3257567882537842},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.158709317445755},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.06995046138763428}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7535043954849243},{"id":"https://openalex.org/C85817219","wikidata":"https://www.wikidata.org/wiki/Q884772","display_name":"Block matrix","level":3,"score":0.7440805435180664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152105569839478},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5165120959281921},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5140193700790405},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5005600452423096},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4498054087162018},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.44329890608787537},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.40823137760162354},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3257567882537842},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.158709317445755},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.06995046138763428},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsait.2022.3186908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsait.2022.3186908","pdf_url":null,"source":{"id":"https://openalex.org/S4210211895","display_name":"IEEE Journal on Selected Areas in Information Theory","issn_l":"2641-8770","issn":["2641-8770"],"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 Journal on Selected Areas in Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6700000166893005}],"awards":[{"id":"https://openalex.org/G4817726850","display_name":null,"funder_award_id":"CCF-2115200","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8019921571","display_name":null,"funder_award_id":"CCF-1910840","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W151604921","https://openalex.org/W2268702383","https://openalex.org/W2556205507","https://openalex.org/W2741736887","https://openalex.org/W2745045892","https://openalex.org/W2784935051","https://openalex.org/W2787606899","https://openalex.org/W2798525132","https://openalex.org/W2891780733","https://openalex.org/W2898076241","https://openalex.org/W2901745114","https://openalex.org/W2962737257","https://openalex.org/W2962832549","https://openalex.org/W2962850796","https://openalex.org/W2963117124","https://openalex.org/W2963347140","https://openalex.org/W2963461717","https://openalex.org/W2964229375","https://openalex.org/W2976462019","https://openalex.org/W2976531921","https://openalex.org/W2976645076","https://openalex.org/W2980753584","https://openalex.org/W2993649261","https://openalex.org/W3022911650","https://openalex.org/W3080603857","https://openalex.org/W3080703563","https://openalex.org/W3098226281","https://openalex.org/W3100515187","https://openalex.org/W3108697863","https://openalex.org/W3111337301","https://openalex.org/W3119375995","https://openalex.org/W3125070457","https://openalex.org/W3179083954","https://openalex.org/W3194519771","https://openalex.org/W3198421519","https://openalex.org/W3198850677","https://openalex.org/W6738835244","https://openalex.org/W6742061381","https://openalex.org/W6747961934"],"related_works":["https://openalex.org/W2317245370","https://openalex.org/W4249323025","https://openalex.org/W198851386","https://openalex.org/W2030310580","https://openalex.org/W947442053","https://openalex.org/W1980160788","https://openalex.org/W2148915962","https://openalex.org/W2283866686","https://openalex.org/W4287182096","https://openalex.org/W27867058"],"abstract_inverted_index":{"The":[0],"overall":[1,86],"execution":[2,88],"time":[3],"of":[4,30,39,43,70,117,141,178],"distributed":[5],"matrix":[6],"computations":[7,125,181],"is":[8],"often":[9,58],"dominated":[10],"by":[11,127],"slow":[12],"worker":[13,33,79,156,180],"nodes":[14,34],"(stragglers)":[15],"within":[16],"the":[17,28,37,44,54,71,78,85,95,118,123,128,138,151,155,172,176,179,184],"computation":[18,63,81,157],"clusters.":[19],"Recently,":[20],"coding-theoretic":[21],"techniques":[22,93],"have":[23,137],"been":[24],"utilized":[25],"to":[26,136,148],"mitigate":[27],"effect":[29],"stragglers":[31,96],"where":[32],"are":[35,57],"assigned":[36],"job":[38,87],"processing":[40],"encoded":[41],"submatrices":[42,120],"original":[45,72,119],"matrices.":[46,162],"In":[47,104],"many":[48],"machine":[49],"learning":[50],"or":[51],"optimization":[52],"problems":[53],"relevant":[55],"matrices":[56],"sparse.":[59],"Several":[60],"prior":[61,142],"coded":[62],"methods":[64],"operate":[65],"with":[66,114,154],"dense":[67],"linear":[68],"combinations":[69],"submatrices;":[73],"this":[74,105],"can":[75,134],"significantly":[76],"increase":[77],"node":[80],"times":[82],"and":[83,100,121],"consequently":[84],"time.":[89],"Moreover,":[90],"several":[91],"existing":[92],"treat":[94],"as":[97],"failures":[98],"(erasures)":[99],"discard":[101],"their":[102],"computations.":[103],"work,":[106,143],"we":[107],"present":[108],"a":[109],"coding":[110],"approach":[111,174],"which":[112],"operates":[113],"limited":[115],"encoding":[116],"utilizes":[122],"partial":[124],"done":[126,166],"slower":[129],"workers.":[130],"While":[131],"our":[132],"scheme":[133],"continue":[135],"optimal":[139],"threshold":[140],"it":[144],"also":[145],"allows":[146],"us":[147],"trade":[149],"off":[150],"straggler":[152],"resilience":[153],"speed":[158,177],"for":[159],"sparse":[160],"input":[161],"Extensive":[163],"numerical":[164],"experiments":[165],"over":[167],"cloud":[168],"platforms":[169],"confirm":[170],"that":[171],"proposed":[173],"enhances":[175],"(and":[182],"thus":[183],"whole":[185],"process)":[186],"significantly.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
