{"id":"https://openalex.org/W2885136941","doi":"https://doi.org/10.1145/3225058.3225101","title":"Scalable Solutions for Automated Single Pulse Identification and Classification in Radio Astronomy","display_name":"Scalable Solutions for Automated Single Pulse Identification and Classification in Radio Astronomy","publication_year":2018,"publication_date":"2018-08-08","ids":{"openalex":"https://openalex.org/W2885136941","doi":"https://doi.org/10.1145/3225058.3225101","mag":"2885136941"},"language":"en","primary_location":{"id":"doi:10.1145/3225058.3225101","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3225058.3225101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International Conference on Parallel Processing","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1810.03190","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111029880","display_name":"Thomas Ryan Devine","orcid":null},"institutions":[{"id":"https://openalex.org/I142920149","display_name":"Fairmont State University","ror":"https://ror.org/047wwd089","country_code":"US","type":"education","lineage":["https://openalex.org/I142920149"]},{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Thomas R. Devine","raw_affiliation_strings":["Center for Gravitational Waves and Cosmology, West Virginia University, Morgantown, West Virginia and Fairmont State University"],"affiliations":[{"raw_affiliation_string":"Center for Gravitational Waves and Cosmology, West Virginia University, Morgantown, West Virginia and Fairmont State University","institution_ids":["https://openalex.org/I142920149","https://openalex.org/I12097938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008905681","display_name":"Katerina Go\u0161eva-Popstojanova","orcid":"https://orcid.org/0000-0003-4683-672X"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katerina Goseva-Popstojanova","raw_affiliation_strings":["Center for Gravitational Waves and Cosmology, West Virginia University, Morgantown, West Virginia"],"affiliations":[{"raw_affiliation_string":"Center for Gravitational Waves and Cosmology, West Virginia University, Morgantown, West Virginia","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037171233","display_name":"Di Pang","orcid":"https://orcid.org/0000-0002-0398-0791"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Di Pang","raw_affiliation_strings":["Center for Gravitational Waves and Cosmology, West Virginia University, Morgantown, West Virginia"],"affiliations":[{"raw_affiliation_string":"Center for Gravitational Waves and Cosmology, West Virginia University, Morgantown, West Virginia","institution_ids":["https://openalex.org/I12097938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111029880"],"corresponding_institution_ids":["https://openalex.org/I12097938","https://openalex.org/I142920149"],"apc_list":null,"apc_paid":null,"fwci":0.5077,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73778442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9923999905586243,"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":0.9923999905586243,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9786999821662903,"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/T14163","display_name":"Astronomical Observations and Instrumentation","score":0.9569000005722046,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8343694806098938},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.669074535369873},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.581486701965332},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.5390931963920593},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5045441389083862},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4514278173446655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43377768993377686},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38570475578308105},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.33859550952911377},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.26287898421287537},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.17910361289978027}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8343694806098938},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.669074535369873},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.581486701965332},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.5390931963920593},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5045441389083862},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4514278173446655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43377768993377686},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38570475578308105},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.33859550952911377},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.26287898421287537},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17910361289978027},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3225058.3225101","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3225058.3225101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International Conference on Parallel Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1810.03190","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.03190","pdf_url":"https://arxiv.org/pdf/1810.03190","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1810.03190","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.03190","pdf_url":"https://arxiv.org/pdf/1810.03190","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W23149702","https://openalex.org/W198272374","https://openalex.org/W205696660","https://openalex.org/W1570448133","https://openalex.org/W1619226191","https://openalex.org/W1643132601","https://openalex.org/W1780933788","https://openalex.org/W1814568923","https://openalex.org/W1868798185","https://openalex.org/W1973820399","https://openalex.org/W1983833794","https://openalex.org/W1984536199","https://openalex.org/W1990356191","https://openalex.org/W1997394902","https://openalex.org/W2000496164","https://openalex.org/W2017337590","https://openalex.org/W2040884411","https://openalex.org/W2078220916","https://openalex.org/W2087384069","https://openalex.org/W2105947650","https://openalex.org/W2124048382","https://openalex.org/W2133990480","https://openalex.org/W2148143831","https://openalex.org/W2156416954","https://openalex.org/W2161122379","https://openalex.org/W2162500466","https://openalex.org/W2164948292","https://openalex.org/W2167834834","https://openalex.org/W2189465200","https://openalex.org/W2315681973","https://openalex.org/W2406349003","https://openalex.org/W2500112877","https://openalex.org/W2522132808","https://openalex.org/W2883627759","https://openalex.org/W2953200623","https://openalex.org/W2966207845","https://openalex.org/W3006022112","https://openalex.org/W3102158786","https://openalex.org/W4229957470","https://openalex.org/W4247553047"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W3138386522","https://openalex.org/W2499279132","https://openalex.org/W2135292616","https://openalex.org/W4308507533","https://openalex.org/W2407107767","https://openalex.org/W2901787049"],"abstract_inverted_index":{"Data":[0],"collection":[1],"for":[2,116],"scientific":[3,23],"applications":[4],"is":[5,9,200],"increasing":[6],"exponentially":[7],"and":[8,15,21,28,161],"forecasted":[10],"to":[11,33,44,68,79,111,143,191],"soon":[12],"reach":[13],"peta-":[14],"exabyte":[16],"scales.":[17],"Applications":[18],"which":[19],"process":[20],"analyze":[22],"data":[24,127,208],"must":[25],"be":[26],"scalable":[27,66],"focus":[29],"on":[30,89,121],"execution":[31,167],"performance":[32,168],"keep":[34],"pace.":[35],"In":[36],"the":[37,51,113,131,135,155,166,170,188],"field":[38],"of":[39,53,82,134,141,146,157,169,178,197],"radio":[40,55,69,206],"astronomy,":[41],"in":[42,73,187],"addition":[43],"increasingly":[45],"large":[46],"datasets,":[47],"tasks":[48],"such":[49],"as":[50],"identification":[52,78,136],"transient":[54],"signals":[56],"from":[57],"extrasolar":[58],"sources":[59],"are":[60],"computationally":[61],"expensive.":[62],"We":[63],"present":[64],"a":[65,90,97,122,139,147,183],"approach":[67],"pulsar":[70],"detection":[71],"written":[72],"Scala":[74],"that":[75,105,130,145,154],"parallelizes":[76],"candidate":[77,117],"take":[80],"advantage":[81],"in-memory":[83],"task":[84],"processing":[85],"using":[86,203],"Apache":[87],"Spark":[88],"YARN":[91],"distributed":[92],"system.":[93],"Furthermore,":[94],"we":[95,106,152],"introduce":[96],"novel":[98],"automated":[99,158],"multiclass":[100,159],"supervised":[101],"machine":[102,172],"learning":[103,173],"technique":[104],"combine":[107],"with":[108,125,180],"feature":[109,162],"selection":[110,163],"reduce":[112],"time":[114],"required":[115],"classification.":[118],"Experimental":[119],"testing":[120],"Beowulf":[123],"cluster":[124],"15":[126],"nodes":[128],"shows":[129],"parallel":[132],"implementation":[133],"algorithm":[137,174],"offers":[138],"speedup":[140],"up":[142,165],"5X":[144],"similar":[148],"multithreaded":[149],"implementation.":[150],"Further,":[151],"show":[153],"combination":[156],"classification":[160],"speeds":[164],"RandomForest":[171],"by":[175,202],"an":[176],"average":[177,185],"54%":[179],"less":[181],"than":[182],"2%":[184],"reduction":[186],"algorithm's":[189],"ability":[190],"correctly":[192],"classify":[193],"pulsars.":[194],"The":[195],"generalizability":[196],"these":[198],"results":[199],"demonstrated":[201],"two":[204],"real-world":[205],"astronomy":[207],"sets.":[209]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}