{"id":"https://openalex.org/W3114262462","doi":"https://doi.org/10.1145/3400302.3415773","title":"Opportunities for RTL and gate level simulation using GPUs","display_name":"Opportunities for RTL and gate level simulation using GPUs","publication_year":2020,"publication_date":"2020-11-02","ids":{"openalex":"https://openalex.org/W3114262462","doi":"https://doi.org/10.1145/3400302.3415773","mag":"3114262462"},"language":"en","primary_location":{"id":"doi:10.1145/3400302.3415773","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3400302.3415773","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3400302.3415773","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International Conference on Computer-Aided Design","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/10.1145/3400302.3415773","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100612105","display_name":"Yanqing Zhang","orcid":"https://orcid.org/0000-0003-2349-1925"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yanqing Zhang","raw_affiliation_strings":["NVIDIA Corporation"],"affiliations":[{"raw_affiliation_string":"NVIDIA Corporation","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029928585","display_name":"Haoxing Ren","orcid":"https://orcid.org/0000-0003-1028-3860"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haoxing Ren","raw_affiliation_strings":["NVIDIA Corporation"],"affiliations":[{"raw_affiliation_string":"NVIDIA Corporation","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010156116","display_name":"Brucek Khailany","orcid":"https://orcid.org/0000-0002-7584-3489"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brucek Khailany","raw_affiliation_strings":["NVIDIA Corporation"],"affiliations":[{"raw_affiliation_string":"NVIDIA Corporation","institution_ids":["https://openalex.org/I4210127875"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100612105"],"corresponding_institution_ids":["https://openalex.org/I4210127875"],"apc_list":null,"apc_paid":null,"fwci":1.4361,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8411251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9986000061035156,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8298134803771973},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.8266151547431946},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5785225629806519},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.5595906376838684},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.549956202507019},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5004582405090332}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8298134803771973},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.8266151547431946},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5785225629806519},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.5595906376838684},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.549956202507019},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5004582405090332},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3400302.3415773","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3400302.3415773","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3400302.3415773","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International Conference on Computer-Aided Design","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3400302.3415773","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3400302.3415773","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3400302.3415773","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th International Conference on Computer-Aided Design","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3114262462.pdf","grobid_xml":"https://content.openalex.org/works/W3114262462.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2054261835","https://openalex.org/W2059896017","https://openalex.org/W2095266728","https://openalex.org/W2102591716","https://openalex.org/W2122740326","https://openalex.org/W2143006079","https://openalex.org/W2277653173","https://openalex.org/W2519887557","https://openalex.org/W2945592068","https://openalex.org/W3114046495","https://openalex.org/W3146200412","https://openalex.org/W4214651231"],"related_works":["https://openalex.org/W2983282793","https://openalex.org/W2317245370","https://openalex.org/W4249323025","https://openalex.org/W198851386","https://openalex.org/W1980160788","https://openalex.org/W2030310580","https://openalex.org/W947442053","https://openalex.org/W2148915962","https://openalex.org/W2283866686","https://openalex.org/W27867058"],"abstract_inverted_index":{"This":[0],"paper":[1],"summarizes":[2],"the":[3,27,61,105],"opportunities":[4,87],"in":[5,80],"accelerating":[6],"simulation":[7,49],"on":[8],"parallel":[9],"processing":[10],"hardware":[11],"platforms":[12],"such":[13,40],"as":[14,41],"GPUs.":[15],"First,":[16],"we":[17,25,76,93],"give":[18],"a":[19,53],"summary":[20],"of":[21,107],"prior":[22],"art.":[23],"Then,":[24],"propose":[26],"idea":[28],"that":[29,67,83],"coding":[30],"frameworks":[31],"usually":[32],"used":[33,46],"for":[34,47,101],"popular":[35],"machine":[36],"learning":[37],"(ML)":[38],"topics,":[39],"PyTorch/DGL.ai,":[42],"can":[43],"also":[44],"be":[45],"exploring":[48],"purposes.":[50],"We":[51],"demo":[52],"crude":[54],"oblivious":[55],"two-value":[56],"cycle":[57],"gate-level":[58],"simulator":[59],"using":[60],"higher":[62],"level":[63],"ML":[64],"framework":[65],"APIs":[66],"exhibits":[68],">20X":[69],"speedup,":[70],"despite":[71],"its":[72],"simplistic":[73],"construction.":[74],"Next,":[75],"summarize":[77],"recent":[78],"advances":[79],"GPU":[81,108],"features":[82],"may":[84],"provide":[85],"additional":[86],"to":[88],"further":[89],"state-of-the-art":[90],"results.":[91],"Finally,":[92],"conclude":[94],"and":[95],"touch":[96],"upon":[97],"some":[98],"potential":[99],"areas":[100],"furthering":[102],"research":[103],"into":[104],"topic":[106],"accelerated":[109],"simulation.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}