{"id":"https://openalex.org/W4410037177","doi":"https://doi.org/10.1145/3711708.3723451","title":"Parallel Breadth-First Search Optimization Strategies","display_name":"Parallel Breadth-First Search Optimization Strategies","publication_year":2025,"publication_date":"2025-03-01","ids":{"openalex":"https://openalex.org/W4410037177","doi":"https://doi.org/10.1145/3711708.3723451"},"language":"en","primary_location":{"id":"doi:10.1145/3711708.3723451","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711708.3723451","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711708.3723451","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st FastCode Programming Challenge","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711708.3723451","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117414831","display_name":"Marati Bhaskar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Marati Bhaskar","raw_affiliation_strings":["Department of Computer Science & Engineering, IIT Tirupati, Tirupati, Andhra Pradesh, India"],"raw_orcid":"https://orcid.org/0009-0001-3980-014X","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, IIT Tirupati, Tirupati, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4210109292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007284030","display_name":"Raghavendra Kanakagiri","orcid":"https://orcid.org/0000-0002-5561-2421"},"institutions":[{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Raghavendra Kanakagiri","raw_affiliation_strings":["Department of Computer Science & Engineering, IIT Tirupati, Tirupati, Andhra Pradesh, India"],"raw_orcid":"https://orcid.org/0000-0002-5561-2421","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, IIT Tirupati, Tirupati, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4210109292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06471581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"19","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":0.9998000264167786,"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":0.9998000264167786,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12288","display_name":"Optimization and Search Problems","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.6406277418136597}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6406277418136597}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711708.3723451","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711708.3723451","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711708.3723451","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st FastCode Programming Challenge","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711708.3723451","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711708.3723451","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711708.3723451","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st FastCode Programming Challenge","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410037177.pdf","grobid_xml":"https://content.openalex.org/works/W4410037177.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W220935706","https://openalex.org/W2042545849","https://openalex.org/W2080098453","https://openalex.org/W2144085134","https://openalex.org/W2964357930","https://openalex.org/W4234988573","https://openalex.org/W4240241667","https://openalex.org/W4376652697","https://openalex.org/W4401019484"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Breadth-first":[0],"search":[1],"(BFS)":[2],"is":[3,140],"a":[4,31,49,64,70,77,129],"fundamental":[5],"graph":[6,97],"algorithm":[7],"that":[8,88],"presents":[9],"significant":[10],"challenges":[11],"for":[12,36],"parallel":[13,37,131],"implementation":[14,108],"due":[15],"to":[16,128],"irregular":[17],"memory":[18],"access":[19],"patterns,":[20],"load":[21],"imbalance":[22],"and":[23,48,69,82,99,119],"synchronization":[24],"overhead.":[25],"In":[26],"this":[27],"paper,":[28],"we":[29],"introduce":[30],"set":[32,79],"of":[33,80,91,111,137,145],"optimization":[34],"strategies":[35],"BFS":[38,107,132],"on":[39,96,115,123],"multicore":[40],"systems,":[41],"including":[42,153],"hybrid":[43,106],"traversal,":[44],"bitmap-based":[45],"visited":[46],"set,":[47],"novel":[50],"non-atomic":[51],"distance":[52],"update":[53],"mechanism.":[54],"We":[55],"evaluate":[56],"these":[57],"optimizations":[58,92,147],"across":[59,151],"two":[60],"different":[61],"architectures":[62],"-":[63,75],"24-core":[65],"Intel":[66,117],"Xeon":[67],"platform":[68,118],"128-core":[71],"AMD":[72,125],"EPYC":[73],"system":[74,126],"using":[76],"diverse":[78],"synthetic":[81],"real-world":[83],"graphs.":[84],"Our":[85],"results":[86],"demonstrate":[87],"the":[89,116,124,135,146],"effectiveness":[90],"varies":[93],"significantly":[94],"based":[95],"characteristics":[98],"hardware":[100],"architecture.":[101],"For":[102],"small-diameter":[103],"graphs,":[104],"our":[105],"achieves":[109],"speedups":[110],"3":[112,120],"--":[113,121],"8\u00d7":[114],"10\u00d7":[122],"compared":[127],"conventional":[130],"implementation.":[133],"However,":[134],"performance":[136,150,154],"large-diameter":[138],"graphs":[139],"more":[141],"nuanced,":[142],"with":[143],"some":[144,157],"showing":[148],"varied":[149],"platforms":[152],"degradation":[155],"in":[156],"cases.":[158]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}