{"id":"https://openalex.org/W4367721874","doi":"https://doi.org/10.1109/tvlsi.2023.3268667","title":"A New ACD-OMP Accelerator With Clustered Computing Look-Ahead","display_name":"A New ACD-OMP Accelerator With Clustered Computing Look-Ahead","publication_year":2023,"publication_date":"2023-05-02","ids":{"openalex":"https://openalex.org/W4367721874","doi":"https://doi.org/10.1109/tvlsi.2023.3268667"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2023.3268667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2023.3268667","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Very Large Scale Integration (VLSI) 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/A5016967833","display_name":"Rongrong She","orcid":"https://orcid.org/0009-0009-9904-7151"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongrong She","raw_affiliation_strings":["College of Physics and Information Engineering, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-9904-7151","affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101614660","display_name":"Hui Qian","orcid":"https://orcid.org/0000-0002-3818-1404"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Qian","raw_affiliation_strings":["College of Physics and Information Engineering, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3818-1404","affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100696999","display_name":"Zhongfeng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongfeng Wang","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7227-4786","affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016967833"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":1.4494,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77567015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"31","issue":"9","first_page":"1449","last_page":"1453"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7111425995826721},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.5980575084686279},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5898259282112122},{"id":"https://openalex.org/keywords/cholesky-decomposition","display_name":"Cholesky decomposition","score":0.5634053945541382},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5459068417549133},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5158221125602722},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5130676031112671},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.48873472213745117},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4761931002140045},{"id":"https://openalex.org/keywords/qr-decomposition","display_name":"QR decomposition","score":0.4650735855102539},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.4438266456127167},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.42429015040397644},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.41018328070640564},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.2796720862388611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1354483664035797},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.11110109090805054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7111425995826721},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.5980575084686279},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5898259282112122},{"id":"https://openalex.org/C34727166","wikidata":"https://www.wikidata.org/wiki/Q515375","display_name":"Cholesky decomposition","level":3,"score":0.5634053945541382},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5459068417549133},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5158221125602722},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5130676031112671},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.48873472213745117},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4761931002140045},{"id":"https://openalex.org/C188060507","wikidata":"https://www.wikidata.org/wiki/Q653242","display_name":"QR decomposition","level":3,"score":0.4650735855102539},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.4438266456127167},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.42429015040397644},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.41018328070640564},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.2796720862388611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1354483664035797},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.11110109090805054},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvlsi.2023.3268667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2023.3268667","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3747767202","display_name":null,"funder_award_id":"2022J01550","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2027242255","https://openalex.org/W2029919765","https://openalex.org/W2058233764","https://openalex.org/W2085917592","https://openalex.org/W2127271355","https://openalex.org/W2767521713","https://openalex.org/W2792059827","https://openalex.org/W2903465684","https://openalex.org/W3095453868","https://openalex.org/W3189357605","https://openalex.org/W4206644973","https://openalex.org/W4312777179"],"related_works":["https://openalex.org/W2982181895","https://openalex.org/W2739115385","https://openalex.org/W2035803264","https://openalex.org/W3035209767","https://openalex.org/W4306891336","https://openalex.org/W1965763148","https://openalex.org/W3007862902","https://openalex.org/W2039527536","https://openalex.org/W1966820346","https://openalex.org/W4293690747"],"abstract_inverted_index":{"The":[0,16,135],"orthogonal":[1],"matching":[2],"pursuit":[3],"(OMP)":[4],"has":[5],"been":[6],"widely":[7],"explored":[8],"to":[9,36,60,93,106],"realize":[10,37],"real-time":[11],"compressed":[12],"sensing":[13],"(CS)":[14],"reconstruction.":[15,134],"matrix":[17,92],"pseudo-inverse":[18],"of":[19,111,127],"the":[20,25,31,41,48,66,81,95,108,128,150,155],"least":[21],"squares":[22],"(LSs)":[23],"is":[24,77,138,158],"most":[26],"computationally":[27],"complex":[28,39],"operation":[29],"in":[30,98],"OMP.":[32],"Among":[33],"various":[34],"algorithms":[35],"this":[38],"operation,":[40],"alternative":[42],"Cholesky":[43],"decomposition":[44],"(ACD)":[45],"algorithm":[46,131,137],"performs":[47],"best.":[49],"However,":[50],"it":[51],"typically":[52],"involves":[53],"a":[54,69,90,103,114],"very":[55],"long":[56],"computation":[57,110],"time":[58],"due":[59],"its":[61],"iterative":[62,109],"procedure.":[63],"To":[64],"accelerate":[65],"ACD-OMP":[67,130],"algorithm,":[68],"novel":[70],"method":[71],"called":[72],"clustered":[73],"computing":[74],"look-ahead":[75,85],"(CCL)":[76],"proposed.":[78],"Inspired":[79],"by":[80],"famous":[82],"parallel":[83],"carry":[84],"adder":[86],"(CLA),":[87],"CCL":[88],"adds":[89],"propagation":[91],"decouple":[94],"data":[96],"dependency":[97],"ACD":[99,112],"and":[100,116,153],"then":[101],"uses":[102],"clustering":[104],"operator":[105],"transform":[107],"into":[113],"pipelined":[115],"parallelized":[117],"computation.":[118],"This":[119],"brief":[120],"also":[121],"proposes":[122],"an":[123],"efficient":[124],"hardware":[125],"architecture":[126],"CCL-based":[129],"for":[132],"CS":[133],"proposed":[136,156],"implemented":[139],"on":[140],"field":[141],"programmable":[142],"gate":[143],"array":[144],"(FPGA).":[145],"For":[146],"sparse":[147],"signals":[148],"with":[149],"same":[151],"sparsity":[152],"length,":[154],"implementation":[157],"1.96":[159],"times":[160],"faster":[161],"than":[162],"state-of-the-art":[163],"work.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}