{"id":"https://openalex.org/W2031135506","doi":"https://doi.org/10.1145/1575774.1575776","title":"FPGA-Based Hardware Acceleration of Lithographic Aerial Image Simulation","display_name":"FPGA-Based Hardware Acceleration of Lithographic Aerial Image Simulation","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2031135506","doi":"https://doi.org/10.1145/1575774.1575776","mag":"2031135506"},"language":"en","primary_location":{"id":"doi:10.1145/1575774.1575776","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1575774.1575776","pdf_url":null,"source":{"id":"https://openalex.org/S112809824","display_name":"ACM Transactions on Reconfigurable Technology and Systems","issn_l":"1936-7406","issn":["1936-7406","1936-7414"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Reconfigurable Technology and Systems","raw_type":"journal-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/A5016776689","display_name":"Jason Cong","orcid":"https://orcid.org/0000-0003-2887-6963"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason Cong","raw_affiliation_strings":["University of California, Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100458990","display_name":"Yi Zou","orcid":"https://orcid.org/0000-0002-4382-4670"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Zou","raw_affiliation_strings":["University of California, Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":2.8994,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.9108471,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2","issue":"3","first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9988999962806702,"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/T11338","display_name":"Advancements in Photolithography Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8757905960083008},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.7785628437995911},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6864743232727051},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.5831085443496704},{"id":"https://openalex.org/keywords/coprocessor","display_name":"Coprocessor","score":0.5703343749046326},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5515972971916199},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.5389905571937561},{"id":"https://openalex.org/keywords/design-for-manufacturability","display_name":"Design for manufacturability","score":0.49586519598960876},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.47919878363609314},{"id":"https://openalex.org/keywords/microprocessor","display_name":"Microprocessor","score":0.4180049002170563},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4099371135234833},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.36289334297180176},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3214350640773773}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8757905960083008},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7785628437995911},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6864743232727051},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.5831085443496704},{"id":"https://openalex.org/C86111242","wikidata":"https://www.wikidata.org/wiki/Q859595","display_name":"Coprocessor","level":2,"score":0.5703343749046326},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5515972971916199},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.5389905571937561},{"id":"https://openalex.org/C62064638","wikidata":"https://www.wikidata.org/wiki/Q553878","display_name":"Design for manufacturability","level":2,"score":0.49586519598960876},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.47919878363609314},{"id":"https://openalex.org/C2780728072","wikidata":"https://www.wikidata.org/wiki/Q5297","display_name":"Microprocessor","level":2,"score":0.4180049002170563},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4099371135234833},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.36289334297180176},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3214350640773773},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1575774.1575776","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1575774.1575776","pdf_url":null,"source":{"id":"https://openalex.org/S112809824","display_name":"ACM Transactions on Reconfigurable Technology and Systems","issn_l":"1936-7406","issn":["1936-7406","1936-7414"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Reconfigurable Technology and Systems","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.160.3098","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.160.3098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ballade.cs.ucla.edu/~cong/papers/TRETS-17.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G4473044677","display_name":null,"funder_award_id":"CNS-0725354","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1514655958","https://openalex.org/W1858792042","https://openalex.org/W1906484553","https://openalex.org/W1978481480","https://openalex.org/W2007317106","https://openalex.org/W2068347376","https://openalex.org/W2071724711","https://openalex.org/W2094050913","https://openalex.org/W2102182691","https://openalex.org/W2118443094","https://openalex.org/W2123173853","https://openalex.org/W2127533906","https://openalex.org/W2165655800","https://openalex.org/W2503863107","https://openalex.org/W2527193322","https://openalex.org/W4229487452","https://openalex.org/W6724315590"],"related_works":["https://openalex.org/W2094969048","https://openalex.org/W994558755","https://openalex.org/W3145240193","https://openalex.org/W4243786227","https://openalex.org/W2147073383","https://openalex.org/W2540373069","https://openalex.org/W2093477508","https://openalex.org/W2057084000","https://openalex.org/W4407128189","https://openalex.org/W4394999"],"abstract_inverted_index":{"Lithography":[0],"simulation,":[1],"an":[2],"essential":[3],"step":[4],"in":[5,94],"design":[6],"for":[7,36,74,137,141,162],"manufacturability":[8],"(DFM),":[9],"is":[10,33,67,114],"still":[11],"far":[12],"from":[13],"computationally":[14],"efficient.":[15],"Most":[16],"leading":[17],"companies":[18],"use":[19],"large":[20,76],"clusters":[21],"of":[22,51,78,165],"server":[23],"computers":[24],"to":[25,69],"achieve":[26],"acceptable":[27],"turn-around":[28],"time.":[29],"Thus":[30],"coprocessor":[31],"acceleration":[32],"very":[34],"attractive":[35],"obtaining":[37],"increased":[38],"computational":[39],"performance":[40,118],"with":[41],"a":[42,52,58,75,100,109],"reduced":[43],"power":[44],"consumption.":[45],"This":[46],"article":[47],"describes":[48],"the":[49,71,104,129,135,147,153],"implementation":[50,106,121],"customized":[53],"accelerator":[54],"on":[55,108,149],"FPGA":[56],"using":[57,152],"polygon-based":[59],"simulation":[60],"model.":[61],"An":[62],"application-specific":[63],"memory":[64],"partitioning":[65],"scheme":[66],"designed":[68],"meet":[70],"bandwidth":[72],"requirements":[73],"number":[77],"processing":[79],"elements.":[80],"Deep":[81],"loop":[82],"pipelining":[83,90],"and":[84,111,157],"ping-pong":[85],"buffer":[86],"based":[87],"function":[88],"block":[89],"are":[91],"also":[92,122,133],"implemented":[93],"our":[95],"design.":[96],"Initial":[97],"results":[98],"show":[99],"15X":[101],"speedup":[102,113],"versus":[103],"software":[105],"running":[107],"microprocessor,":[110],"more":[112],"expected":[115],"via":[116],"further":[117],"tuning.":[119],"The":[120],"leverages":[123],"state-of-art":[124],"C-to-RTL":[125],"synthesis":[126],"tools.":[127],"At":[128],"same":[130],"time,":[131],"we":[132,145],"identify":[134],"need":[136],"manual":[138],"architecture-level":[139],"exploration":[140],"parallel":[142],"implementations.":[143],"Moreover,":[144],"implement":[146],"algorithm":[148],"NVIDIA":[150],"GPUs":[151],"CUDA":[154],"programming":[155],"environment,":[156],"provide":[158],"some":[159],"useful":[160],"comparisons":[161],"different":[163],"kinds":[164],"accelerators.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}