{"id":"https://openalex.org/W3146413196","doi":"https://doi.org/10.1109/iccad.2008.4681629","title":"FBT: Filled Buffer Technique to reduce code size for VLIW processors","display_name":"FBT: Filled Buffer Technique to reduce code size for VLIW processors","publication_year":2008,"publication_date":"2008-11-01","ids":{"openalex":"https://openalex.org/W3146413196","doi":"https://doi.org/10.1109/iccad.2008.4681629","mag":"3146413196"},"language":"en","primary_location":{"id":"doi:10.1109/iccad.2008.4681629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2008.4681629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE/ACM International Conference on Computer-Aided Design","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/A5009450763","display_name":"Talal Bonny","orcid":"https://orcid.org/0000-0003-1111-0304"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Talal Bonny","raw_affiliation_strings":["Chair for Embedded Systems, University of Karlsruhe, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Chair for Embedded Systems, University of Karlsruhe, Karlsruhe, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063508488","display_name":"J\u00f6rg Henkel","orcid":"https://orcid.org/0000-0001-9602-2922"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jorg Henkel","raw_affiliation_strings":["Chair for Embedded Systems, University of Karlsruhe, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Chair for Embedded Systems, University of Karlsruhe, Karlsruhe, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009450763"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34929359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"549","last_page":"554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9954000115394592,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9952999949455261,"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/very-long-instruction-word","display_name":"Very long instruction word","score":0.9448915123939514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8800991773605347},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6835606098175049},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.593094527721405},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.5415442585945129},{"id":"https://openalex.org/keywords/reduced-instruction-set-computing","display_name":"Reduced instruction set computing","score":0.5039944052696228},{"id":"https://openalex.org/keywords/instruction-set","display_name":"Instruction set","score":0.5024664402008057},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4296053349971771},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.35328418016433716},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0790298581123352},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07234057784080505}],"concepts":[{"id":"https://openalex.org/C170595534","wikidata":"https://www.wikidata.org/wiki/Q249743","display_name":"Very long instruction word","level":2,"score":0.9448915123939514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8800991773605347},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6835606098175049},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.593094527721405},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.5415442585945129},{"id":"https://openalex.org/C126298526","wikidata":"https://www.wikidata.org/wiki/Q189376","display_name":"Reduced instruction set computing","level":3,"score":0.5039944052696228},{"id":"https://openalex.org/C202491316","wikidata":"https://www.wikidata.org/wiki/Q272683","display_name":"Instruction set","level":2,"score":0.5024664402008057},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4296053349971771},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.35328418016433716},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0790298581123352},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07234057784080505},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad.2008.4681629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2008.4681629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE/ACM International Conference on Computer-Aided Design","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1573170655","https://openalex.org/W1686420892","https://openalex.org/W1989237971","https://openalex.org/W2091671815","https://openalex.org/W2128609716","https://openalex.org/W2155729921","https://openalex.org/W2159091813","https://openalex.org/W3147366819","https://openalex.org/W4242288781","https://openalex.org/W4251023687","https://openalex.org/W6637151178","https://openalex.org/W6683140091","https://openalex.org/W6684058395","https://openalex.org/W6684140544"],"related_works":["https://openalex.org/W2123760103","https://openalex.org/W2091059919","https://openalex.org/W1588619283","https://openalex.org/W2538644970","https://openalex.org/W2164026451","https://openalex.org/W2148099609","https://openalex.org/W1833231962","https://openalex.org/W1607469815","https://openalex.org/W3089200294","https://openalex.org/W2060231710"],"abstract_inverted_index":{"VLIW":[0,43,75,161],"processors":[1,11,76],"provide":[2],"higher":[3],"performance":[4],"and":[5,152,154,165,181,187],"better":[6],"efficiency":[7],"etc.":[8,18],"than":[9,117],"RISC":[10],"in":[12,60,113,130,183],"specific":[13],"domains":[14],"like":[15],"multimedia":[16],"applications":[17],"A":[19],"disadvantage":[20],"is":[21,37],"the":[22,27,33,67,88,121,135,177],"bloated":[23],"code":[24,35,68],"size":[25,36,69],"of":[26,148],"compiled":[28],"application":[29,34],"code.":[30],"Therefore,":[31],"reducing":[32],"a":[38,50,93,145],"design":[39],"key":[40],"issue":[41],"for":[42,74,185],"processors.":[44],"In":[45,84],"this":[46,82],"paper":[47],"we":[48,78,86],"adapt":[49],"hardware-supported":[51],"approach":[52],"called":[53,96],"ldquoDeflaterdquo":[54,89,123,178],"which":[55,100],"has":[56],"been":[57],"used":[58],"before":[59],"data":[61],"compression.":[62],"It":[63],"can":[64,101],"significantly":[65],"reduce":[66],"compared":[70,119],"to":[71,104,109,120,159],"state-of-the-art":[72],"approaches":[73],"as":[77,172,174],"will":[79],"show":[80],"within":[81],"work.":[83],"fact,":[85],"enhance":[87],"algorithm":[90,179],"by":[91,115,138],"using":[92,144,176],"new":[94],"technique":[95],"Filled":[97,127],"Buffer":[98,128],"Technique":[99,129],"be":[102],"applied":[103,156],"any":[105],"Lempel-Ziv":[106],"family":[107],"algorithms":[108],"improve":[110],"compression":[111,136,170],"ratio":[112,137],"average":[114,184],"more":[116],"13%":[118],"sole":[122],"algorithm.":[124],"Using":[125],"our":[126,157],"conjunction":[131],"with":[132],"ldquoV2Frdquo":[133],"improves":[134],"10%.":[139],"We":[140,167],"have":[141,155],"conducted":[142],"evaluations":[143],"representative":[146],"set":[147],"benchmarks":[149],"(from":[150],"Mediabench":[151],"Mibench)":[153],"scheme":[158],"two":[160],"processors,":[162],"namely":[163],"TMS320C62x":[164,186],"TMS320C64x.":[166],"achieved":[168],"allover":[169],"ratios":[171],"low":[173],"44%":[175],"(61%":[180],"56%":[182],"TMS320C64x,":[188],"respectively).":[189]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
