{"id":"https://openalex.org/W1985554679","doi":"https://doi.org/10.1109/fpl.2012.6339183","title":"Hardware implementation of MRF map inference on an FPGA platform","display_name":"Hardware implementation of MRF map inference on an FPGA platform","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W1985554679","doi":"https://doi.org/10.1109/fpl.2012.6339183","mag":"1985554679"},"language":"en","primary_location":{"id":"doi:10.1109/fpl.2012.6339183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fpl.2012.6339183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"22nd 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/A5103511968","display_name":"Jungwook Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jungwook Choi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, Urbana, IL, USA","Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 201 N. Goodwin Avenue, 61801-2302, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 201 N. Goodwin Avenue, 61801-2302, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008408555","display_name":"Rob A. Rutenbar","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rob A. Rutenbar","raw_affiliation_strings":["Department of Computer Science, University of Illinois, Urbana-Champaign, Urbana, IL, USA","Department of Computer Science, University of Illinois at Urbana-Champaign, 201 N. Goodwin Avenue, 61801-2302, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois, Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Urbana-Champaign, 201 N. Goodwin Avenue, 61801-2302, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103511968"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":3.2946,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.92841363,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"25","issue":null,"first_page":"209","last_page":"216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9972000122070312,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.8453978896141052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7782473564147949},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6303325295448303},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.6077654361724854},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.5996137857437134},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.5939133763313293},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5767303109169006},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5368396043777466},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.517936646938324},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4791621267795563},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.42939597368240356},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.30525827407836914},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27578601241111755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20298650860786438},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07970443367958069}],"concepts":[{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.8453978896141052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782473564147949},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6303325295448303},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.6077654361724854},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.5996137857437134},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.5939133763313293},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5767303109169006},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5368396043777466},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.517936646938324},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4791621267795563},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.42939597368240356},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.30525827407836914},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27578601241111755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20298650860786438},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07970443367958069},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fpl.2012.6339183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fpl.2012.6339183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"22nd International Conference on Field Programmable Logic and Applications (FPL)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1589794013","https://openalex.org/W2024471218","https://openalex.org/W2059212813","https://openalex.org/W2067017781","https://openalex.org/W2078063076","https://openalex.org/W2107884096","https://openalex.org/W2108619558","https://openalex.org/W2122867301","https://openalex.org/W2140200866","https://openalex.org/W2143516773","https://openalex.org/W2151646056","https://openalex.org/W2159080219","https://openalex.org/W2164918853","https://openalex.org/W2169282664"],"related_works":["https://openalex.org/W2050010277","https://openalex.org/W2163364417","https://openalex.org/W2963109230","https://openalex.org/W2896991873","https://openalex.org/W2122977448","https://openalex.org/W4286892381","https://openalex.org/W4301665663","https://openalex.org/W2124250880","https://openalex.org/W2129340397","https://openalex.org/W2129270363"],"abstract_inverted_index":{"In":[0],"this":[1,118],"paper,":[2],"we":[3],"describe":[4],"hardware":[5,82,92],"for":[6,80],"inference":[7],"computations":[8],"on":[9,40,131],"Markov":[10],"Random":[11],"Fields":[12],"(MRFs).":[13],"MRFs":[14],"are":[15,27],"widely":[16],"used":[17],"in":[18,45,64,90],"applications":[19],"like":[20],"computer":[21],"vision,":[22],"but":[23,47],"conventional":[24],"software":[25],"solvers":[26],"slow.":[28],"Belief":[29],"Propagation":[30],"(BP)":[31],"solvers,":[32],"which":[33],"use":[34],"patterns":[35],"of":[36,106],"local":[37],"message":[38,59],"passing":[39,60],"MRFs,":[41],"have":[42,125],"been":[43,126],"studied":[44],"hardware,":[46],"their":[48],"performance":[49],"is":[50,104],"unreliable.":[51],"We":[52,84],"show":[53,85],"how":[54,86],"a":[55,108],"superior":[56],"method-Sequential":[57],"Tree-Reweighted":[58],"(TRW-S)-can":[61],"be":[62],"rendered":[63],"hardware.":[65],"TRW-S":[66,81,89,123],"has":[67],"reliable":[68],"convergence,":[69],"guaranteed":[70],"by":[71],"its":[72],"so-called":[73],"\u201csequential\u201d":[74],"computation.":[75],"Analysis":[76],"reveals":[77],"many":[78],"opportunities":[79],"acceleration.":[83],"to":[87,128],"implement":[88],"FPGA":[91,133],"so":[93],"that":[94],"it":[95],"exploits":[96],"significant":[97],"parallelism":[98],"and":[99],"memory":[100],"bandwidth.":[101],"Our":[102],"implementation":[103],"capable":[105],"running":[107],"standard":[109],"stereo":[110],"vision":[111],"benchmark":[112],"at":[113],"rates":[114],"approaching":[115],"40":[116],"frames/sec;":[117],"represents":[119],"the":[120],"first":[121],"time":[122],"methods":[124],"accelerated":[127],"these":[129],"speeds":[130],"an":[132],"platform.":[134]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
