{"id":"https://openalex.org/W1950310697","doi":"https://doi.org/10.1109/isspit.2014.7300569","title":"Sparse recovery on GPUs: Accelerating the Iterative Soft-Thresholding Algorithm","display_name":"Sparse recovery on GPUs: Accelerating the Iterative Soft-Thresholding Algorithm","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1950310697","doi":"https://doi.org/10.1109/isspit.2014.7300569","mag":"1950310697"},"language":"en","primary_location":{"id":"doi:10.1109/isspit.2014.7300569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2014.7300569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","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/A5070362361","display_name":"Achal Shah","orcid":null},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Achal Shah","raw_affiliation_strings":["Computer Science and Engineering, Indian Institute of Technology, Guwahati, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology, Guwahati, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020310463","display_name":"Angshul Majumdar","orcid":"https://orcid.org/0000-0002-1065-3000"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Angshul Majumdar","raw_affiliation_strings":["Electronics and Communications Engineering, Indraprastha Institute of Information Technology, Delhi, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Communications Engineering, Indraprastha Institute of Information Technology, Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070362361"],"corresponding_institution_ids":["https://openalex.org/I1317621060"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04461169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"000091","last_page":"000095"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7985223531723022},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.644219160079956},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.629446804523468},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.5791370868682861},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5430800318717957},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.503123939037323},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5016815662384033},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5010302066802979},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4807581603527069},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.4637286067008972},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.4550224244594574},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4410002827644348},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.42376330494880676},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3466860055923462},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19367823004722595},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.09691405296325684},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07670336961746216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7985223531723022},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.644219160079956},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.629446804523468},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.5791370868682861},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5430800318717957},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.503123939037323},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5016815662384033},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5010302066802979},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4807581603527069},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.4637286067008972},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.4550224244594574},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4410002827644348},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.42376330494880676},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3466860055923462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19367823004722595},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.09691405296325684},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07670336961746216},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspit.2014.7300569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2014.7300569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1982876283","https://openalex.org/W2023722580","https://openalex.org/W2040549255","https://openalex.org/W2077237786","https://openalex.org/W2078204800","https://openalex.org/W2100556411","https://openalex.org/W2115706991","https://openalex.org/W2116953231","https://openalex.org/W2132498731","https://openalex.org/W2135046866","https://openalex.org/W2154672679","https://openalex.org/W2316049492","https://openalex.org/W2319747876","https://openalex.org/W2511709187","https://openalex.org/W3124114587","https://openalex.org/W6725607297"],"related_works":["https://openalex.org/W2151046618","https://openalex.org/W1972148443","https://openalex.org/W1969233021","https://openalex.org/W2167646277","https://openalex.org/W2063573318","https://openalex.org/W2388314963","https://openalex.org/W3158047141","https://openalex.org/W1656096860","https://openalex.org/W2027443981","https://openalex.org/W2360624069"],"abstract_inverted_index":{"Solving":[0],"linear":[1],"inverse":[2],"problems":[3,29],"where":[4],"the":[5,45,69,104,116,128,134],"solution":[6],"is":[7,12,101],"known":[8],"to":[9,15,37,53,84],"be":[10,38,124],"sparse":[11],"of":[13,143],"interest":[14],"both":[16],"signal":[17],"processing":[18],"and":[19],"machine":[20],"learning":[21],"research.":[22],"The":[23,96],"standard":[24],"algorithms":[25],"for":[26,40,147],"solving":[27],"such":[28,55],"are":[30],"sequential":[31],"in":[32,99,102,106],"nature":[33],"-":[34,63,94],"they":[35],"tend":[36],"slow":[39],"large":[41],"scale":[42],"problems.":[43,150],"In":[44,76],"past,":[46],"researchers":[47],"have":[48],"used":[49],"Graphics":[50],"Processing":[51],"Units":[52],"accelerate":[54,85,110],"algorithms.":[56],"But":[57],"these":[58],"acceleration":[59],"schemes":[60],"were":[61,65],"trivial":[62],"speed-ups":[64],"achieved":[66],"by":[67,113],"computing":[68,103,115],"matrix":[70],"vector":[71],"products":[72],"on":[73,127],"a":[74,81,86],"GPU.":[75,129],"this":[77,111],"work,":[78],"we":[79],"propose":[80],"novel":[82],"technique":[83],"popular":[87],"recovery":[88],"algorithm":[89],"(Iterative":[90],"Soft":[91],"Thresholding":[92],"Algorithm":[93],"ISTA).":[95],"computational":[97],"bottleneck":[98],"ISTA":[100],"gradient":[105,117],"every":[107],"iteration.":[108],"We":[109],"step":[112],"efficiently":[114],"numerically":[118],"via":[119],"inexpensive":[120],"updates":[121],"that":[122,133],"can":[123,137],"easily":[125],"parallelized":[126],"Experimental":[130],"results":[131],"show":[132],"proposed":[135],"method":[136],"achieve":[138],"more":[139],"than":[140],"an":[141],"order":[142],"magnitude":[144],"improvement,":[145],"even":[146],"moderate":[148],"sized":[149]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
