{"id":"https://openalex.org/W3027486538","doi":"https://doi.org/10.5555/1577069.1755850","title":"Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training","display_name":"Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W3027486538","doi":"https://doi.org/10.5555/1577069.1755850","mag":"3027486538"},"language":"en","primary_location":{"id":"mag:3027486538","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.5555/1577069.1755850","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Machine Learning Research","raw_type":null},"type":"article","indexed_in":[],"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/A5051342591","display_name":"WoodsendKristian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"WoodsendKristian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5049074971","display_name":"GondzioJacek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"GondzioJacek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4441,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78075647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.953499972820282,"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/T10320","display_name":"Neural Networks and Applications","score":0.953499972820282,"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":0.7664807438850403},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6575531959533691},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6353291273117065},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.42661362886428833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33363446593284607}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7664807438850403},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6575531959533691},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6353291273117065},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.42661362886428833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33363446593284607},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3027486538","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.5555/1577069.1755850","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Journal of Machine Learning Research","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2784046842","https://openalex.org/W1683775175","https://openalex.org/W1444931451","https://openalex.org/W3007294223","https://openalex.org/W3004313476","https://openalex.org/W1989006644","https://openalex.org/W2904874904","https://openalex.org/W2943287497","https://openalex.org/W2384611823","https://openalex.org/W349332038","https://openalex.org/W213968687","https://openalex.org/W1530144063","https://openalex.org/W1974161091","https://openalex.org/W2118363928","https://openalex.org/W1488308073","https://openalex.org/W3147952098","https://openalex.org/W2131500038","https://openalex.org/W1581218886","https://openalex.org/W2511913819","https://openalex.org/W1551971860"],"abstract_inverted_index":{"Support":[0],"vector":[1],"machines":[2],"are":[3],"a":[4,14],"powerful":[5],"machine":[6],"learning":[7],"technology,":[8],"but":[9],"the":[10],"training":[11],"process":[12],"involves":[13],"dense":[15],"quadratic":[16],"optimization":[17],"problem":[18],"and":[19],"is":[20],"computationally":[21],"challenging.":[22],"A":[23],"parallel":[24],"implement...":[25]},"counts_by_year":[],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2025-10-10T00:00:00"}
