{"id":"https://openalex.org/W4408561525","doi":"https://doi.org/10.1145/3723045","title":"PRISA: A Potential Region-based Intelligent Search Algorithm for Dataflow Graph Mapping in Spatial CGRAs","display_name":"PRISA: A Potential Region-based Intelligent Search Algorithm for Dataflow Graph Mapping in Spatial CGRAs","publication_year":2025,"publication_date":"2025-03-18","ids":{"openalex":"https://openalex.org/W4408561525","doi":"https://doi.org/10.1145/3723045"},"language":"en","primary_location":{"id":"doi:10.1145/3723045","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3723045","pdf_url":null,"source":{"id":"https://openalex.org/S112809824","display_name":"ACM Transactions on Reconfigurable Technology and Systems","issn_l":"1936-7406","issn":["1936-7406","1936-7414"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Reconfigurable Technology and 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/A5049841307","display_name":"Seyed Mehdi Mohtavipour","orcid":"https://orcid.org/0000-0003-2749-8980"},"institutions":[{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Seyed Mehdi Mohtavipour","raw_affiliation_strings":["Iran University of Science and Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Iran University of Science and Technology, Tehran, Iran","institution_ids":["https://openalex.org/I67009956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016964685","display_name":"Hadi Shahriar Shahhoseini","orcid":"https://orcid.org/0000-0002-6042-0993"},"institutions":[{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hadi Shahriar Shahhoseini","raw_affiliation_strings":["Iran University of Science and Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Iran University of Science and Technology, Tehran, Iran","institution_ids":["https://openalex.org/I67009956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049841307"],"corresponding_institution_ids":["https://openalex.org/I67009956"],"apc_list":null,"apc_paid":null,"fwci":1.3734,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78960969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"18","issue":"2","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9968000054359436,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9968000054359436,"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/T11106","display_name":"Data Management and Algorithms","score":0.9937999844551086,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9902999997138977,"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":0.8929268717765808},{"id":"https://openalex.org/keywords/data-flow-analysis","display_name":"Data-flow analysis","score":0.5962974429130554},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5667343139648438},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5525463223457336},{"id":"https://openalex.org/keywords/data-flow-diagram","display_name":"Data flow diagram","score":0.5348988771438599},{"id":"https://openalex.org/keywords/control-flow-graph","display_name":"Control flow graph","score":0.47241440415382385},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.42941814661026},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42577752470970154},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3459494113922119},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13673406839370728}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8929268717765808},{"id":"https://openalex.org/C88468194","wikidata":"https://www.wikidata.org/wiki/Q1172416","display_name":"Data-flow analysis","level":3,"score":0.5962974429130554},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5667343139648438},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5525463223457336},{"id":"https://openalex.org/C489000","wikidata":"https://www.wikidata.org/wiki/Q747385","display_name":"Data flow diagram","level":2,"score":0.5348988771438599},{"id":"https://openalex.org/C27458966","wikidata":"https://www.wikidata.org/wiki/Q1187693","display_name":"Control flow graph","level":2,"score":0.47241440415382385},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.42941814661026},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42577752470970154},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3459494113922119},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13673406839370728},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3723045","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3723045","pdf_url":null,"source":{"id":"https://openalex.org/S112809824","display_name":"ACM Transactions on Reconfigurable Technology and Systems","issn_l":"1936-7406","issn":["1936-7406","1936-7414"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Reconfigurable Technology and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W173935616","https://openalex.org/W1575535798","https://openalex.org/W1980329590","https://openalex.org/W1995233983","https://openalex.org/W1997979052","https://openalex.org/W2098908185","https://openalex.org/W2112136590","https://openalex.org/W2117830121","https://openalex.org/W2160328313","https://openalex.org/W2344845053","https://openalex.org/W2808484818","https://openalex.org/W2809276277","https://openalex.org/W2895318011","https://openalex.org/W2897997157","https://openalex.org/W2898167364","https://openalex.org/W2932584324","https://openalex.org/W2936615383","https://openalex.org/W2950973672","https://openalex.org/W2980612421","https://openalex.org/W2986866516","https://openalex.org/W3033033241","https://openalex.org/W3042501387","https://openalex.org/W3045967224","https://openalex.org/W3088127902","https://openalex.org/W3126823254","https://openalex.org/W3157778366","https://openalex.org/W3191007950","https://openalex.org/W3197391172","https://openalex.org/W3197788851","https://openalex.org/W3200790925","https://openalex.org/W3201108873","https://openalex.org/W4212938296","https://openalex.org/W4231952255","https://openalex.org/W4239861368","https://openalex.org/W4281852241","https://openalex.org/W4286489560","https://openalex.org/W4380881133"],"related_works":["https://openalex.org/W2151163382","https://openalex.org/W4256382613","https://openalex.org/W59945861","https://openalex.org/W1484884871","https://openalex.org/W1551967076","https://openalex.org/W1549956274","https://openalex.org/W2084443973","https://openalex.org/W94523631","https://openalex.org/W2052160877","https://openalex.org/W2022043656"],"abstract_inverted_index":{"Coarse-grained":[0],"Reconfigurable":[1],"Architectures":[2],"(CGRAs)":[3],"offer":[4],"energy":[5],"efficiency":[6],"and":[7,35,48,62,80,94,103,153,156,166,175,194],"programmability,":[8],"making":[9],"them":[10],"integral":[11],"to":[12,25,29,57,89,116,161],"modern":[13],"high-performance":[14],"computing.":[15],"However,":[16],"complicated":[17],"compilation":[18,60,173],"when":[19],"mapping":[20,51,64,87,176],"the":[21,59,78,84,91,100,119,128,132,148,183],"Dataflow":[22],"Graph":[23],"(DFG)":[24],"CGRA":[26],"components":[27],"leads":[28],"significant":[30],"time":[31,141,174,197],"overhead,":[32,198],"area":[33],"inefficiency,":[34],"routing":[36],"challenges,":[37],"especially":[38],"for":[39],"large-scale":[40],"applications":[41],"today.":[42],"In":[43],"this":[44],"article,":[45],"a":[46,70,104],"fast":[47],"accurate":[49],"DFG":[50],"approach":[52,75,180],"called":[53],"PRISA":[54,122,133],"is":[55,138],"proposed":[56],"reduce":[58],"delay":[61],"obtain":[63],"solutions":[65,88,102],"with":[66,188],"higher":[67],"qualities":[68],"in":[69,83,131,170],"more":[71],"reasonable":[72],"time.":[73],"This":[74],"analytically":[76],"identifies":[77],"potential":[79,101],"weak":[81],"regions":[82],"space":[85],"of":[86,121,151,172,185],"guide":[90],"search":[92],"algorithm":[93],"prevent":[95],"ineffective":[96],"examinations.":[97],"Moreover,":[98],"using":[99],"novel":[105],"sparse":[106],"matrix":[107],"permutation":[108],"technique,":[109],"we":[110],"introduced":[111],"Selective":[112],"Initial":[113],"Solution":[114],"(SIS)":[115],"further":[117],"improve":[118],"performance":[120],"without":[123],"needing":[124],"long-time":[125],"optimizations.":[126],"As":[127],"computational":[129],"requirements":[130],"are":[134],"performed":[135],"analytically,":[136],"there":[137],"no":[139],"additional":[140],"overhead.":[142],"We":[143],"conducted":[144],"extensive":[145],"experiments":[146],"on":[147,199],"benchmark":[149],"graphs":[150],"CGRA-ME":[152],"VPR-8":[154,186],"toolkits":[155],"obtained":[157],"outstanding":[158],"results":[159],"compared":[160],"integer":[162],"linear":[163],"programming,":[164],"evolutionary,":[165],"graph":[167],"traversal":[168],"approaches":[169],"terms":[171],"communication":[177],"cost.":[178],"Our":[179],"could":[181],"map":[182],"DFGs":[184],"toolkit":[187],"3.64":[189],"maximal":[190],"FIFO":[191],"size":[192],"requirement":[193],"53.5":[195],"ms":[196],"average.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
