{"id":"https://openalex.org/W2019516542","doi":"https://doi.org/10.1109/bibm.2014.6999307","title":"Efficient parallel algorithm for compound comparisons on multi-GPUs","display_name":"Efficient parallel algorithm for compound comparisons on multi-GPUs","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2019516542","doi":"https://doi.org/10.1109/bibm.2014.6999307","mag":"2019516542"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2014.6999307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-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/A5101479832","display_name":"Chun\u2010Yuan Lin","orcid":"https://orcid.org/0000-0003-1796-6189"},"institutions":[{"id":"https://openalex.org/I173093425","display_name":"Chang Gung University","ror":"https://ror.org/00d80zx46","country_code":"TW","type":"education","lineage":["https://openalex.org/I173093425"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chun-Yuan Lin","raw_affiliation_strings":["Dept. Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I173093425"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049361058","display_name":"Chung-Hung Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I173093425","display_name":"Chang Gung University","ror":"https://ror.org/00d80zx46","country_code":"TW","type":"education","lineage":["https://openalex.org/I173093425"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Hung Wang","raw_affiliation_strings":["Dept. Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I173093425"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003302169","display_name":"Che\u2010Lun Hung","orcid":"https://orcid.org/0000-0002-8906-9367"},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]},{"id":"https://openalex.org/I196272386","display_name":"Providence College","ror":"https://ror.org/00rxpqe74","country_code":"US","type":"education","lineage":["https://openalex.org/I196272386"]}],"countries":["TW","US"],"is_corresponding":false,"raw_author_name":"Che-Lun Hung","raw_affiliation_strings":["Dept. Computer Science and Communication Engineering, Providence University, Taichung, Taiwan","[Dept. Computer Science and Communication Engineering, Providence University, Taichung, Taiwan]"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science and Communication Engineering, Providence University, Taichung, Taiwan","institution_ids":["https://openalex.org/I177918364"]},{"raw_affiliation_string":"[Dept. Computer Science and Communication Engineering, Providence University, Taichung, Taiwan]","institution_ids":["https://openalex.org/I196272386"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086495456","display_name":"Yu\u2010Shiang Lin","orcid":"https://orcid.org/0000-0002-0625-0364"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Shiang Lin","raw_affiliation_strings":["Dept. Computer Science National Tsing Hua University, Hsinchu, Taiwan","Dept. Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Dept. Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101479832"],"corresponding_institution_ids":["https://openalex.org/I173093425"],"apc_list":null,"apc_paid":null,"fwci":0.66780234,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72362355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"44","issue":null,"first_page":"30","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10908","display_name":"Analytical Chemistry and Chromatography","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11882","display_name":"Plant biochemistry and biosynthesis","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.8475604057312012},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.7351444959640503},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7171273827552795},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.6955527067184448},{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.6374450325965881},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6072112917900085},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5745017528533936},{"id":"https://openalex.org/keywords/parallel-algorithm","display_name":"Parallel algorithm","score":0.4917645752429962},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4773462116718292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09621080756187439}],"concepts":[{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.8475604057312012},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.7351444959640503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7171273827552795},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.6955527067184448},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.6374450325965881},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6072112917900085},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5745017528533936},{"id":"https://openalex.org/C120373497","wikidata":"https://www.wikidata.org/wiki/Q1087987","display_name":"Parallel algorithm","level":2,"score":0.4917645752429962},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4773462116718292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09621080756187439},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2014.6999307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1573897044","https://openalex.org/W1970651561","https://openalex.org/W1993492933","https://openalex.org/W2008381136","https://openalex.org/W2013714328","https://openalex.org/W2029030684","https://openalex.org/W2049875209","https://openalex.org/W2076942392","https://openalex.org/W2077791782","https://openalex.org/W2082287671","https://openalex.org/W2094969361","https://openalex.org/W2097016383","https://openalex.org/W2115318272","https://openalex.org/W2117755361","https://openalex.org/W2127553917","https://openalex.org/W2151582714","https://openalex.org/W2153693853","https://openalex.org/W2156077095","https://openalex.org/W2166081493","https://openalex.org/W2166760518","https://openalex.org/W2176516200","https://openalex.org/W2214541768","https://openalex.org/W2949504121","https://openalex.org/W3138798301","https://openalex.org/W6634426487"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2983282793","https://openalex.org/W1973046741","https://openalex.org/W2031630671","https://openalex.org/W2059382600","https://openalex.org/W2032508741","https://openalex.org/W2363538625","https://openalex.org/W2607998022","https://openalex.org/W4297775710","https://openalex.org/W1937514268"],"abstract_inverted_index":{"Compound":[0],"comparison":[1,11,32],"is":[2,33,41,52,60],"an":[3],"important":[4],"task":[5],"for":[6,21,104],"computational":[7],"chemistry.":[8],"By":[9],"the":[10,22,42,49,55,116,123,152],"reulsts,":[12],"potential":[13],"inhibitors":[14],"can":[15],"be":[16,83],"found":[17],"and":[18,54,64,70,138],"then":[19],"used":[20],"following":[23],"experiments.":[24],"The":[25,131],"time":[26,59],"complexity":[27],"of":[28,45,57,77,91],"a":[29,88,101],"pairwise":[30],"compound":[31,50,94,106],"O(n":[34],"<sup":[35],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[36],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[37],"),":[38],"where":[39],"n":[40],"maximal":[43],"length":[44,51],"compounds.":[46],"In":[47,96],"general,":[48],"small,":[53],"cost":[56],"computation":[58,124],"short.":[61],"However,":[62],"more":[63,65,74,140],"compounds":[66,92],"have":[67],"been":[68],"synthesized":[69],"extracted":[71],"now,":[72],"even":[73],"than":[75,141],"ten":[76],"millions.":[78],"Therefore,":[79],"it":[80],"still":[81],"will":[82],"time-consuming":[84],"when":[85],"comparing":[86,146],"with":[87,147],"large":[89],"amount":[90],"(multiple":[93],"comparisons).":[95],"this":[97],"paper,":[98],"we":[99],"propose":[100],"parallel":[102],"algorithm":[103,118,133],"multiple":[105],"comparisons":[107],"on":[108,129],"multi-GPUs.":[109],"Four":[110],"load-balancing":[111],"strategies":[112],"were":[113],"considered":[114],"in":[115,119],"proposed":[117,132],"order":[120],"to":[121],"accelerate":[122],"speed":[125],"among":[126],"thread":[127],"blocks":[128],"GPUs.":[130],"was":[134],"implemented":[135],"by":[136,145],"C+OpenMP+CUDA,":[137],"achieved":[139],"50":[142],"times":[143],"speedup":[144],"its":[148],"CPU":[149],"version":[150],"under":[151],"experiemtal":[153],"results.":[154]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
