{"id":"https://openalex.org/W2034623525","doi":"https://doi.org/10.1016/0743-7315(90)90088-7","title":"Solving nonuniform problems on SIMD computers: Case study on region growing","display_name":"Solving nonuniform problems on SIMD computers: Case study on region growing","publication_year":1990,"publication_date":"1990-02-01","ids":{"openalex":"https://openalex.org/W2034623525","doi":"https://doi.org/10.1016/0743-7315(90)90088-7","mag":"2034623525"},"language":"en","primary_location":{"id":"doi:10.1016/0743-7315(90)90088-7","is_oa":true,"landing_page_url":"https://doi.org/10.1016/0743-7315(90)90088-7","pdf_url":null,"source":{"id":"https://openalex.org/S157146593","display_name":"Journal of Parallel and Distributed Computing","issn_l":"0743-7315","issn":["0743-7315","1096-0848"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Parallel and Distributed Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/0743-7315(90)90088-7","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019074871","display_name":"M. Willebeek-LeMair","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Marc Willebeek-Lemair","raw_affiliation_strings":["School of Electrical Engineering, Cornell University, Ithaca, New York 14853, USA","School of Electrical Engineering, Cornell University, Ithaca, New York\u200914853 USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Cornell University, Ithaca, New York 14853, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"School of Electrical Engineering, Cornell University, Ithaca, New York\u200914853 USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060527966","display_name":"Anthony P. Reeves","orcid":"https://orcid.org/0000-0002-1451-3080"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony P. Reeves","raw_affiliation_strings":["School of Electrical Engineering, Cornell University, Ithaca, New York 14853, USA","School of Electrical Engineering, Cornell University, Ithaca, New York\u200914853 USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Cornell University, Ithaca, New York 14853, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"School of Electrical Engineering, Cornell University, Ithaca, New York\u200914853 USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019074871"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":{"value":3160,"currency":"USD","value_usd":3160},"apc_paid":{"value":3160,"currency":"USD","value_usd":3160},"fwci":5.353,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.95503564,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":"2","first_page":"135","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":1.0,"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/T10052","display_name":"Medical Image Segmentation Techniques","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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9812999963760376,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8919504880905151},{"id":"https://openalex.org/keywords/mimd","display_name":"MIMD","score":0.8678908944129944},{"id":"https://openalex.org/keywords/simd","display_name":"SIMD","score":0.8605501055717468},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.7488492727279663},{"id":"https://openalex.org/keywords/massively-parallel","display_name":"Massively parallel","score":0.6702787280082703},{"id":"https://openalex.org/keywords/hypercube","display_name":"Hypercube","score":0.6196920275688171},{"id":"https://openalex.org/keywords/intel-ipsc","display_name":"Intel iPSC","score":0.48847997188568115},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.44650861620903015},{"id":"https://openalex.org/keywords/parallel-algorithm","display_name":"Parallel algorithm","score":0.4219357967376709},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36287397146224976}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8919504880905151},{"id":"https://openalex.org/C21032095","wikidata":"https://www.wikidata.org/wiki/Q1149237","display_name":"MIMD","level":2,"score":0.8678908944129944},{"id":"https://openalex.org/C150552126","wikidata":"https://www.wikidata.org/wiki/Q339387","display_name":"SIMD","level":2,"score":0.8605501055717468},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.7488492727279663},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.6702787280082703},{"id":"https://openalex.org/C50820777","wikidata":"https://www.wikidata.org/wiki/Q213723","display_name":"Hypercube","level":2,"score":0.6196920275688171},{"id":"https://openalex.org/C199115840","wikidata":"https://www.wikidata.org/wiki/Q108649754","display_name":"Intel iPSC","level":3,"score":0.48847997188568115},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.44650861620903015},{"id":"https://openalex.org/C120373497","wikidata":"https://www.wikidata.org/wiki/Q1087987","display_name":"Parallel algorithm","level":2,"score":0.4219357967376709},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36287397146224976}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/0743-7315(90)90088-7","is_oa":true,"landing_page_url":"https://doi.org/10.1016/0743-7315(90)90088-7","pdf_url":null,"source":{"id":"https://openalex.org/S157146593","display_name":"Journal of Parallel and Distributed Computing","issn_l":"0743-7315","issn":["0743-7315","1096-0848"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Parallel and Distributed Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/0743-7315(90)90088-7","is_oa":true,"landing_page_url":"https://doi.org/10.1016/0743-7315(90)90088-7","pdf_url":null,"source":{"id":"https://openalex.org/S157146593","display_name":"Journal of Parallel and Distributed Computing","issn_l":"0743-7315","issn":["0743-7315","1096-0848"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Parallel and Distributed Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W88731554","https://openalex.org/W1506611580","https://openalex.org/W1622620102","https://openalex.org/W1655990431","https://openalex.org/W1668934263","https://openalex.org/W1947772405","https://openalex.org/W1975906491","https://openalex.org/W1989277413","https://openalex.org/W2006020030","https://openalex.org/W2049436249","https://openalex.org/W2072910878","https://openalex.org/W2076640017","https://openalex.org/W2092109600","https://openalex.org/W2119241866","https://openalex.org/W2166247650","https://openalex.org/W2740373864","https://openalex.org/W6603589618","https://openalex.org/W6630152229","https://openalex.org/W6640677987","https://openalex.org/W6644473597","https://openalex.org/W6651854874","https://openalex.org/W6662760152"],"related_works":["https://openalex.org/W1980986440","https://openalex.org/W3158884034","https://openalex.org/W4388314704","https://openalex.org/W1598922803","https://openalex.org/W2143594203","https://openalex.org/W1984807396","https://openalex.org/W2513846324","https://openalex.org/W1666350077","https://openalex.org/W4240850883","https://openalex.org/W2041329749"],"abstract_inverted_index":{"Nonuniform":[0],"problems":[1],"are":[2,140,170],"characterized":[3],"by":[4],"a":[5,52,71,80,159],"behavior":[6],"that":[7],"is":[8,43,77,108,128,174,191],"data":[9,150],"dependent":[10],"and":[11,130],"cannot":[12],"be":[13,194],"determined":[14],"at":[15],"compile":[16],"time.":[17],"Currently,":[18],"no":[19],"formal":[20],"methods":[21],"for":[22,27,61,95,125,132,197],"implementation":[23,36,179],"or":[24],"evaluation":[25],"exist":[26],"this":[28],"class":[29,47],"of":[30,37,45,48,88,91,102,121,146,157,180,202],"algorithms.":[31],"This":[32],"paper":[33],"presents":[34],"an":[35,137,147,177],"the":[38,86,89,109,166,181,184],"region":[39,58,105,126,162],"growing":[40,59,106,127,163],"problem,":[41],"which":[42,84],"representative":[44],"one":[46],"nonuniform":[49],"problems,":[50],"on":[51,115,136,165,183],"highly":[53],"parallel":[54,81,104,160],"SIMD":[55,138,189],"computer.":[56],"The":[57,155,188],"paradigm":[60],"image":[62],"segmentation":[63],"groups":[64],"neighboring":[65],"pixels":[66],"into":[67],"regions":[68,97],"depending":[69],"upon":[70,79],"predetermined":[72],"homogeneity":[73],"criteria.":[74],"Our":[75],"algorithm":[76,164,182],"based":[78],"merging":[82],"paradigm,":[83],"involves":[85],"selection":[87],"best":[90],"all":[92,96],"merge":[93],"possibilities":[94],"concurrently.":[98],"A":[99,119,172],"key":[100],"requirement":[101],"any":[103],"scheme":[107],"ability":[110],"to":[111,152,176,193],"concurrently":[112],"compute":[113],"functions":[114,124,135],"irregular":[116],"shaped":[117],"regions.":[118,154,203],"set":[120],"general":[122],"primitive":[123],"defined":[129],"techniques":[131,143],"implementing":[133,158],"these":[134],"processor":[139],"developed.":[141],"These":[142],"make":[144],"use":[145],"embedded":[148],"tree":[149],"structure":[151],"represent":[153],"results":[156],"split-and-merge":[161],"Massively":[167],"Parallel":[168],"Processor":[169],"discussed.":[171],"comparison":[173],"made":[175],"MIMD":[178],"Intel":[185],"iPSC/2":[186],"hypercube.":[187],"approach":[190],"shown":[192],"efficient":[195],"primarily":[196],"images":[198],"involving":[199],"large":[200],"numbers":[201]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
