{"id":"https://openalex.org/W3215029732","doi":"https://doi.org/10.1109/itw48936.2021.9611400","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":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3215029732","doi":"https://doi.org/10.1109/itw48936.2021.9611400","mag":"3215029732"},"language":"en","primary_location":{"id":"doi:10.1109/itw48936.2021.9611400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw48936.2021.9611400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Information Theory Workshop (ITW)","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/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"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anindya Bijoy Das","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]},{"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"],"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":["https://openalex.org/A5029951257"],"corresponding_institution_ids":["https://openalex.org/I173911158"],"apc_list":null,"apc_paid":null,"fwci":0.4079,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69763249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9975000023841858,"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":0.7464437484741211},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7185932397842407},{"id":"https://openalex.org/keywords/block-matrix","display_name":"Block matrix","score":0.7161135077476501},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.561993420124054},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5559657216072083},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5214361548423767},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4950770437717438},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4013672173023224},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3806858956813812},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15679559111595154},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.0703459084033966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7464437484741211},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7185932397842407},{"id":"https://openalex.org/C85817219","wikidata":"https://www.wikidata.org/wiki/Q884772","display_name":"Block matrix","level":3,"score":0.7161135077476501},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.561993420124054},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5559657216072083},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5214361548423767},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4950770437717438},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4013672173023224},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3806858956813812},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15679559111595154},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0703459084033966},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itw48936.2021.9611400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw48936.2021.9611400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.699999988079071,"display_name":"Decent work and economic growth"}],"awards":[],"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":30,"referenced_works":["https://openalex.org/W2268702383","https://openalex.org/W2741736887","https://openalex.org/W2784935051","https://openalex.org/W2787606899","https://openalex.org/W2798525132","https://openalex.org/W2891780733","https://openalex.org/W2901745114","https://openalex.org/W2962850796","https://openalex.org/W2963347140","https://openalex.org/W2964229375","https://openalex.org/W2976462019","https://openalex.org/W2976531921","https://openalex.org/W2976645076","https://openalex.org/W2993649261","https://openalex.org/W3022911650","https://openalex.org/W3080703563","https://openalex.org/W3098226281","https://openalex.org/W3100515187","https://openalex.org/W3108697863","https://openalex.org/W3125070457","https://openalex.org/W3179083954","https://openalex.org/W3198850677","https://openalex.org/W4295161116","https://openalex.org/W4301515685","https://openalex.org/W6730190955","https://openalex.org/W6738835244","https://openalex.org/W6742061381","https://openalex.org/W6747961934","https://openalex.org/W6769348046","https://openalex.org/W6786857628"],"related_works":["https://openalex.org/W580815825","https://openalex.org/W4231775656","https://openalex.org/W2001342884","https://openalex.org/W3202552726","https://openalex.org/W2125326641","https://openalex.org/W2279642117","https://openalex.org/W128997104","https://openalex.org/W2595503355","https://openalex.org/W1928489786","https://openalex.org/W2163027735"],"abstract_inverted_index":{"The":[0],"overall":[1,85],"execution":[2,87],"time":[3],"of":[4,30,39,43,69,116,138,159],"distributed":[5],"matrix":[6],"computations":[7,124,162],"is":[8],"often":[9,58],"dominated":[10],"by":[11,126],"slow":[12],"worker":[13,33,78,161],"nodes":[14,34],"(stragglers)":[15],"over":[16],"the":[17,28,37,44,54,70,77,84,94,117,122,127,135,153,157,160,165],"clusters.":[18],"Recently,":[19],"different":[20],"coding":[21,109],"techniques":[22,92],"have":[23,134],"been":[24],"utilized":[25],"to":[26,133],"mitigate":[27],"effect":[29],"stragglers":[31,95],"where":[32],"are":[35,57],"assigned":[36],"task":[38],"processing":[40],"encoded":[41],"submatrices":[42,119],"original":[45,71,118],"matrices.":[46],"In":[47,103],"many":[48],"machine":[49],"learning":[50],"or":[51],"optimization":[52],"problems":[53],"relevant":[55],"matrices":[56],"sparse.":[59],"Several":[60],"coded":[61],"computation":[62,80],"methods":[63],"operate":[64],"with":[65,113],"dense":[66],"linear":[67],"combinations":[68],"submatrices;":[72],"this":[73,104],"can":[74],"significantly":[75],"increase":[76],"node":[79],"times":[81],"and":[82,99,120],"consequently":[83],"job":[86],"time.":[88],"Moreover,":[89],"several":[90],"existing":[91],"treat":[93],"as":[96],"failures":[97],"(erasures)":[98],"discard":[100],"their":[101],"computations.":[102],"work,":[105],"we":[106],"present":[107],"a":[108],"approach":[110,155],"which":[111],"operates":[112],"limited":[114],"encoding":[115],"utilizes":[121],"partial":[123],"done":[125,144],"slower":[128],"workers.":[129],"Our":[130],"scheme":[131],"continues":[132],"optimal":[136],"threshold":[137],"prior":[139],"work.":[140],"Extensive":[141],"numerical":[142],"experiments":[143],"in":[145],"AWS":[146],"(Amazon":[147],"Web":[148],"Services)":[149],"cluster":[150],"confirm":[151],"that":[152],"proposed":[154],"enhances":[156],"speed":[158],"(and":[163],"thus":[164],"whole":[166],"process)":[167],"significantly.":[168]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}