{"id":"https://openalex.org/W4362675180","doi":"https://doi.org/10.1145/3585341.3585372","title":"Experiences Migrating CUDA to SYCL: A Molecular Docking Case Study","display_name":"Experiences Migrating CUDA to SYCL: A Molecular Docking Case Study","publication_year":2023,"publication_date":"2023-04-06","ids":{"openalex":"https://openalex.org/W4362675180","doi":"https://doi.org/10.1145/3585341.3585372"},"language":"en","primary_location":{"id":"doi:10.1145/3585341.3585372","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3585341.3585372","pdf_url":null,"source":{"id":"https://openalex.org/S4306420323","display_name":"International Workshop on OpenCL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Workshop on OpenCL","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/A5037721262","display_name":"Leonardo Solis-Vasquez","orcid":"https://orcid.org/0000-0001-6896-9879"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Leonardo Solis-Vasquez","raw_affiliation_strings":["Technical University of Darmstadt, Germany"],"raw_orcid":"https://orcid.org/0000-0001-6896-9879","affiliations":[{"raw_affiliation_string":"Technical University of Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084046104","display_name":"Edward Mascarenhas","orcid":"https://orcid.org/0000-0002-4717-3481"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward Mascarenhas","raw_affiliation_strings":["Intel Corporation, United States"],"raw_orcid":"https://orcid.org/0000-0002-4717-3481","affiliations":[{"raw_affiliation_string":"Intel Corporation, United States","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047000315","display_name":"Andreas Koch","orcid":"https://orcid.org/0000-0002-1164-3082"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Koch","raw_affiliation_strings":["Technical University of Darmstadt, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1164-3082","affiliations":[{"raw_affiliation_string":"Technical University of Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037721262"],"corresponding_institution_ids":["https://openalex.org/I31512782"],"apc_list":null,"apc_paid":null,"fwci":10.5347,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.98743719,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials 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":0.9952999949455261,"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"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9879000186920166,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.9239282608032227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8313247561454773},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6204169988632202},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.4847516715526581},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.4821712374687195},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4746951460838318},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4730455279350281},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.41820794343948364},{"id":"https://openalex.org/keywords/code-generation","display_name":"Code generation","score":0.41600358486175537},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3462599813938141},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.08581700921058655}],"concepts":[{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.9239282608032227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8313247561454773},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6204169988632202},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.4847516715526581},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.4821712374687195},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4746951460838318},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4730455279350281},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.41820794343948364},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.41600358486175537},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3462599813938141},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.08581700921058655},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3585341.3585372","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3585341.3585372","pdf_url":null,"source":{"id":"https://openalex.org/S4306420323","display_name":"International Workshop on OpenCL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Workshop on OpenCL","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2091734240","https://openalex.org/W2123859926","https://openalex.org/W2158534713","https://openalex.org/W3046816984","https://openalex.org/W3120361527","https://openalex.org/W3123540889","https://openalex.org/W3159160110","https://openalex.org/W3174757733","https://openalex.org/W3177128669","https://openalex.org/W3213672119","https://openalex.org/W4212899820","https://openalex.org/W4221154788","https://openalex.org/W4225548362","https://openalex.org/W4288079730"],"related_works":["https://openalex.org/W1963859303","https://openalex.org/W2364044215","https://openalex.org/W2389600408","https://openalex.org/W240129890","https://openalex.org/W3048701459","https://openalex.org/W2149078538","https://openalex.org/W2370314112","https://openalex.org/W1912958759","https://openalex.org/W2792081825","https://openalex.org/W2893308117"],"abstract_inverted_index":{"In":[0,33,92],"recent":[1],"years,":[2],"Intel":[3,52,79,160],"introduced":[4],"oneAPI":[5,80],"as":[6,147,149,154],"a":[7,72,101],"unified":[8],"and":[9,29,87,131,133,157],"cross-architecture":[10],"programming":[11],"model":[12],"based":[13,25],"on":[14,26,144,150],"the":[15,27,37,51,78,115,124,135,138,158],"Data":[16,161],"Parallel":[17],"C++":[18,28],"(DPC++)":[19],"language,":[20],"which":[21,56],"in":[22,141],"turn,":[23],"is":[24,71],"SYCL":[30],"standard":[31],"languages.":[32],"order":[34],"to":[35,58,64,108],"facilitate":[36],"migration":[38,70,121],"of":[39,117,137],"legacy":[40],"CUDA":[41,63,107],"code":[42,61,69,85,127],"originally":[43],"written":[44],"for":[45,76,84,129],"NVIDIA":[46,155],"GPUs,":[47,152],"developers":[48],"can":[49],"employ":[50],"DPC++":[53],"Compatibility":[54],"Tool,":[55],"aims":[57],"automatically":[59],"migrate":[60],"from":[62,106],"SYCL.":[65,109],"While":[66],"this":[67,93,118,142],"tool-assisted":[68],"good":[73],"starting":[74],"point":[75],"leveraging":[77],"ecosystem,":[81],"manual":[82,126],"steps":[83],"completion":[86],"tuning":[88],"are":[89],"still":[90],"required.":[91],"paper,":[94],"we":[95],"present":[96],"our":[97],"experiences":[98],"migrating":[99],"AutoDock-GPU,":[100],"widely-used":[102],"molecular":[103],"docking":[104],"application,":[105],"Our":[110],"discussion":[111],"focuses":[112],"on:":[113],"(1)":[114],"use":[116],"automated":[119],"source-code":[120],"tool,":[122],"(2)":[123],"required":[125],"refinement":[128],"functionality":[130],"optimization,":[132],"(3)":[134],"comparison":[136],"performance":[139],"achieved":[140],"manner":[143],"multi-core":[145],"CPUs":[146],"well":[148],"high-end":[151],"such":[153],"A100":[156],"recently-launched":[159],"Center":[162],"Max":[163],"1550":[164],"device.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}