{"id":"https://openalex.org/W2523938169","doi":"https://doi.org/10.1109/fpl.2016.7577343","title":"Time-borrowing platform in the Xilinx UltraScale+ family of FPGAs and MPSoCs","display_name":"Time-borrowing platform in the Xilinx UltraScale+ family of FPGAs and MPSoCs","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2523938169","doi":"https://doi.org/10.1109/fpl.2016.7577343","mag":"2523938169"},"language":"en","primary_location":{"id":"doi:10.1109/fpl.2016.7577343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fpl.2016.7577343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 26th International Conference on Field Programmable Logic and Applications (FPL)","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/A5091859340","display_name":"Ilya Ganusov","orcid":null},"institutions":[{"id":"https://openalex.org/I32923980","display_name":"Xilinx (United States)","ror":"https://ror.org/01rb7bk56","country_code":"US","type":"company","lineage":["https://openalex.org/I32923980"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ilya Ganusov","raw_affiliation_strings":["Xilinx, Inc., San Jose, CA"],"affiliations":[{"raw_affiliation_string":"Xilinx, Inc., San Jose, CA","institution_ids":["https://openalex.org/I32923980"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085875405","display_name":"Benjamin Devlin","orcid":"https://orcid.org/0009-0008-2823-549X"},"institutions":[{"id":"https://openalex.org/I32923980","display_name":"Xilinx (United States)","ror":"https://ror.org/01rb7bk56","country_code":"US","type":"company","lineage":["https://openalex.org/I32923980"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Devlin","raw_affiliation_strings":["Xilinx, Inc., San Jose, CA"],"affiliations":[{"raw_affiliation_string":"Xilinx, Inc., San Jose, CA","institution_ids":["https://openalex.org/I32923980"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091859340"],"corresponding_institution_ids":["https://openalex.org/I32923980"],"apc_list":null,"apc_paid":null,"fwci":2.2073,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87314275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9998999834060669,"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":0.9998999834060669,"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/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7013354301452637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6697317361831665},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.48737484216690063},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4838908612728119},{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.48185479640960693},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4340519905090332},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09969064593315125},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0941874086856842}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7013354301452637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6697317361831665},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.48737484216690063},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4838908612728119},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.48185479640960693},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4340519905090332},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09969064593315125},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0941874086856842},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fpl.2016.7577343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fpl.2016.7577343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 26th International Conference on Field Programmable Logic and Applications (FPL)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2011778848","https://openalex.org/W2023146792","https://openalex.org/W2049960281","https://openalex.org/W2077278144","https://openalex.org/W2087656024","https://openalex.org/W2111485030","https://openalex.org/W2114835190","https://openalex.org/W2118482092","https://openalex.org/W2144786659","https://openalex.org/W2157398460","https://openalex.org/W2158055150","https://openalex.org/W2165108765","https://openalex.org/W2168528377","https://openalex.org/W2169827315","https://openalex.org/W2174922170","https://openalex.org/W2180470884","https://openalex.org/W2264331490","https://openalex.org/W2338919664","https://openalex.org/W3150606089","https://openalex.org/W4248668797","https://openalex.org/W4250939969"],"related_works":["https://openalex.org/W4290802965","https://openalex.org/W97789383","https://openalex.org/W2727156679","https://openalex.org/W3087516072","https://openalex.org/W4289406402","https://openalex.org/W2067997904","https://openalex.org/W2096844293","https://openalex.org/W2363944576","https://openalex.org/W2351041855","https://openalex.org/W2570254841"],"abstract_inverted_index":{"This":[0,54,168],"paper":[1],"presents":[2],"enhancements":[3],"to":[4,10,42,63,73,83,90,93,133,163],"the":[5,39,95,100,184],"Xilinx":[6],"UltraScale+":[7],"clocking":[8,40],"architecture":[9,29],"support":[11,43],"fine-grain":[12],"time-borrowing.":[13],"Time":[14],"borrowing":[15,58],"improves":[16],"performance":[17,161],"by":[18],"redistributing":[19],"timing":[20],"slack":[21],"between":[22,66],"fast":[23],"and":[24,34,51,165,190],"slow":[25],"paths.":[26],"The":[27],"Ultra-Scale+":[28],"introduces":[30],"programmable":[31,55,105],"hardware":[32,56],"delays":[33,152],"pulse":[35],"generators":[36],"embedded":[37],"in":[38,183],"tree":[41],"time-borrowing":[44,106],"based":[45],"both":[46],"on":[47,115,128,140],"clock":[48,86],"skew":[49,84],"scheduling":[50],"pulsed":[52,91],"latches.":[53],"allows":[57],"from":[59],"a":[60,118],"few":[61],"picoseconds":[62],"multiple":[64],"nanoseconds":[65],"sequential":[67],"pipeline":[68],"stages":[69],"without":[70],"any":[71],"changes":[72],"RTL,":[74],"placement":[75],"or":[76,87,154],"routing.":[77],"Vivado":[78,102],"algorithms":[79],"automatically":[80],"determine":[81],"when":[82],"flip-flop":[85],"convert":[88],"them":[89],"latches":[92],"achieve":[94],"highest":[96],"possible":[97],"performance.":[98],"Using":[99],"default":[101],"flow,":[103],"this":[104],"platform":[107,169],"delivers":[108],"5.5%":[109],"F":[110,135],"<sub":[111,136],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[112,137],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">max</sub>":[113,138],"increase":[114,139,159],"average":[116,160],"over":[117],"suite":[119],"of":[120,176,186],"89":[121],"industrial":[122],"designs.":[123,142],"It":[124],"is":[125],"especially":[126],"effective":[127],"high-speed":[129],"applications,":[130],"delivering":[131],"up":[132],"13.7%":[134],"individual":[141],"We":[143],"also":[144],"demonstrate":[145],"that":[146],"using":[147],"non-default":[148],"features,":[149],"such":[150],"as":[151],"cascades":[153],"increasing":[155,191],"hold":[156,188],"margin,":[157],"can":[158],"gains":[162],"7.4%":[164],"8.5%,":[166],"respectively.":[167],"incurs":[170],"minimum":[171],"area":[172],"(less":[173],"than":[174],"0.1%":[175],"total":[177],"chip":[178],"area)":[179],"while":[180],"staying":[181],"robust":[182],"presence":[185],"tight":[187],"constraints":[189],"process":[192],"variation.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}