{"id":"https://openalex.org/W4410037149","doi":"https://doi.org/10.1145/3711708.3723443","title":"An Efficient Implementation of Parallel Breadth-first Search","display_name":"An Efficient Implementation of Parallel Breadth-first Search","publication_year":2025,"publication_date":"2025-03-01","ids":{"openalex":"https://openalex.org/W4410037149","doi":"https://doi.org/10.1145/3711708.3723443"},"language":"en","primary_location":{"id":"doi:10.1145/3711708.3723443","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711708.3723443","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711708.3723443","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/10.1145/3711708.3723443","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113949386","display_name":"P H Chen","orcid":"https://orcid.org/0009-0007-7731-6803"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pao-I Chen","raw_affiliation_strings":["University of Wisconsin at Madison, Madison, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin at Madison, Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088685794","display_name":"Tsung\u2010Wei Huang","orcid":"https://orcid.org/0000-0001-9768-3378"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tsung-Wei Huang","raw_affiliation_strings":["University of Wisconsin at Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin at Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113949386"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":2.6916,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89967366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9980999827384949,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.7128419876098633},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4737718403339386}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7128419876098633},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4737718403339386}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711708.3723443","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711708.3723443","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711708.3723443","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:10.1145/3711708.3723443","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711708.3723443","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711708.3723443","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":[{"id":"https://openalex.org/G2600241123","display_name":null,"funder_award_id":"2235276","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G282500842","display_name":null,"funder_award_id":"2349143","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4783351329","display_name":null,"funder_award_id":"2349582","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4788550409","display_name":null,"funder_award_id":"2349141","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6665011947","display_name":null,"funder_award_id":"2349144","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410037149.pdf","grobid_xml":"https://content.openalex.org/works/W4410037149.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W2024584975","https://openalex.org/W2144085134","https://openalex.org/W2169528473","https://openalex.org/W2624783959","https://openalex.org/W2799567470","https://openalex.org/W2806717795","https://openalex.org/W2895790300","https://openalex.org/W2945038515","https://openalex.org/W2945686303","https://openalex.org/W2946553399","https://openalex.org/W2963366311","https://openalex.org/W2982022996","https://openalex.org/W3112677437","https://openalex.org/W3113443077","https://openalex.org/W3120604107","https://openalex.org/W3128693992","https://openalex.org/W3165412222","https://openalex.org/W3188917597","https://openalex.org/W3198396679","https://openalex.org/W3212679119","https://openalex.org/W4200368805","https://openalex.org/W4200601188","https://openalex.org/W4205834599","https://openalex.org/W4206557440","https://openalex.org/W4213040020","https://openalex.org/W4226016128","https://openalex.org/W4234854400","https://openalex.org/W4251384337","https://openalex.org/W4283390926","https://openalex.org/W4320067872","https://openalex.org/W4376460962","https://openalex.org/W4380607252","https://openalex.org/W4384705351","https://openalex.org/W4385585512","https://openalex.org/W4386709670","https://openalex.org/W4386763846","https://openalex.org/W4390188200","https://openalex.org/W4392680736","https://openalex.org/W4401408736","https://openalex.org/W4401861817","https://openalex.org/W4402835794","https://openalex.org/W4404133525","https://openalex.org/W4404133674","https://openalex.org/W4404134132","https://openalex.org/W4408151763"],"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],"a":[4],"fundamental":[5],"building":[6],"block":[7],"of":[8,33,44,56],"many":[9],"graph":[10,26,46],"algorithms,":[11],"such":[12],"as":[13],"shortest":[14],"path":[15],"finding,":[16],"network":[17],"flow":[18],"analysis,":[19],"and":[20],"connected":[21],"component":[22],"detection.":[23],"As":[24],"the":[25,42,57,65,80],"size":[27],"continues":[28],"to":[29,41],"increase,":[30],"efficient":[31,54],"implementations":[32],"parallel":[34],"BFS":[35,60],"across":[36],"multiple":[37],"cores":[38],"are":[39],"critical":[40],"design":[43],"scalable":[45],"algorithms.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51,69],"introduce":[52],"an":[53],"implementation":[55],"popular":[58],"bi-directional":[59],"(BD-BFS)":[61],"algorithm.":[62],"Evaluating":[63],"on":[64],"Speedcode":[66],"platform":[67],"[3],":[68],"can":[70],"achieve":[71],"38.07%":[72],"throughput":[73],"performance":[74],"improvement":[75],"(3.01B/s":[76],"vs":[77],"2.18B/s)":[78],"over":[79],"conventional":[81],"BD-BFS":[82],"implementation.":[83]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}