{"id":"https://openalex.org/W2788014245","doi":"https://doi.org/10.1145/3174243.3174271","title":"FPGA Fastfood - A High Speed Systolic Implementation of a Large Scale Online Kernel Method","display_name":"FPGA Fastfood - A High Speed Systolic Implementation of a Large Scale Online Kernel Method","publication_year":2018,"publication_date":"2018-02-15","ids":{"openalex":"https://openalex.org/W2788014245","doi":"https://doi.org/10.1145/3174243.3174271","mag":"2788014245"},"language":"en","primary_location":{"id":"doi:10.1145/3174243.3174271","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3174243.3174271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","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/A5068378911","display_name":"Sean Fox","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Sean Fox","raw_affiliation_strings":["University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040792997","display_name":"David Boland","orcid":"https://orcid.org/0000-0001-5370-4464"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"David Boland","raw_affiliation_strings":["University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107994859","display_name":"Philip H. W. Leong","orcid":"https://orcid.org/0000-0002-3923-3499"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Philip Leong","raw_affiliation_strings":["University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068378911"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59730796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"279","last_page":"284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.831838846206665},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7684875726699829},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.741551399230957},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5665125250816345},{"id":"https://openalex.org/keywords/systolic-array","display_name":"Systolic array","score":0.5321297645568848},{"id":"https://openalex.org/keywords/clock-rate","display_name":"Clock rate","score":0.48507586121559143},{"id":"https://openalex.org/keywords/gate-array","display_name":"Gate array","score":0.41928359866142273},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3939996659755707},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.34238600730895996},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3294943571090698},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.25952500104904175},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.19863209128379822},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.10859367251396179},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1005411446094513}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.831838846206665},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7684875726699829},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741551399230957},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5665125250816345},{"id":"https://openalex.org/C150741067","wikidata":"https://www.wikidata.org/wiki/Q2377218","display_name":"Systolic array","level":3,"score":0.5321297645568848},{"id":"https://openalex.org/C178693496","wikidata":"https://www.wikidata.org/wiki/Q911691","display_name":"Clock rate","level":3,"score":0.48507586121559143},{"id":"https://openalex.org/C114237110","wikidata":"https://www.wikidata.org/wiki/Q114901","display_name":"Gate array","level":3,"score":0.41928359866142273},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3939996659755707},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.34238600730895996},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3294943571090698},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.25952500104904175},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.19863209128379822},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.10859367251396179},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1005411446094513},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3174243.3174271","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3174243.3174271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1486089539","https://openalex.org/W1616781418","https://openalex.org/W1983394510","https://openalex.org/W2024381286","https://openalex.org/W2108872752","https://openalex.org/W2115232518","https://openalex.org/W2118563516","https://openalex.org/W2144902422","https://openalex.org/W2283827870","https://openalex.org/W2963114950","https://openalex.org/W2964299589","https://openalex.org/W3118608800","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2347854075","https://openalex.org/W2078268640","https://openalex.org/W2132614232","https://openalex.org/W2014165129","https://openalex.org/W2367348190","https://openalex.org/W594316872","https://openalex.org/W2831860248","https://openalex.org/W2367794224","https://openalex.org/W2072850836","https://openalex.org/W1968650434"],"abstract_inverted_index":{"In":[0],"this":[1,72],"paper,":[2],"we":[3],"describe":[4],"a":[5,23,89],"systolic":[6],"Field":[7],"Programmable":[8],"Gate":[9],"Array":[10],"(FPGA)":[11],"implementation":[12],"of":[13,83,92],"the":[14,81],"Fastfood":[15,27],"algorithm":[16,28],"that":[17,40,51,58],"is":[18],"optimised":[19],"to":[20],"run":[21],"at":[22],"high":[24],"frequency.":[25],"The":[26],"supports":[29],"online":[30],"learning":[31,70],"for":[32,48],"large":[33],"scale":[34],"kernel":[35,84],"methods.":[36],"Empirical":[37],"results":[38],"show":[39],"500":[41],"MHz":[42],"clock":[43],"rates":[44],"can":[45,52],"be":[46],"sustained":[47],"an":[49],"architecture":[50],"solve":[53],"problems":[54],"with":[55],"input":[56],"dimensions":[57],"are":[59],"$10^3$":[60],"times":[61],"larger":[62],"than":[63],"previously":[64],"reported.":[65],"Unlike":[66],"many":[67],"recent":[68],"deep":[69],"publications,":[71],"design":[73],"implements":[74],"both":[75],"training":[76],"and":[77,95],"prediction.":[78],"This":[79],"enables":[80],"use":[82],"methods":[85],"in":[86],"applications":[87],"requiring":[88],"rare":[90],"combination":[91],"capacity,":[93],"adaption":[94],"speed.":[96]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
