{"id":"https://openalex.org/W2061976406","doi":"https://doi.org/10.1145/1066677.1066874","title":"A code compression advisory tool for embedded processors","display_name":"A code compression advisory tool for embedded processors","publication_year":2005,"publication_date":"2005-03-13","ids":{"openalex":"https://openalex.org/W2061976406","doi":"https://doi.org/10.1145/1066677.1066874","mag":"2061976406"},"language":"en","primary_location":{"id":"doi:10.1145/1066677.1066874","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1066677.1066874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM symposium on Applied computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001535959","display_name":"Sreejith K. Menon","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sreejith K Menon","raw_affiliation_strings":["Indian Institute of Science, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013592136","display_name":"Priti Shankar","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Priti Shankar","raw_affiliation_strings":["Indian Institute of Science, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.221,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.46290404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"863","last_page":"867"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9991000294685364,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9987000226974487,"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":0.8584188222885132},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5937302708625793},{"id":"https://openalex.org/keywords/object-code","display_name":"Object code","score":0.5507814884185791},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5441672801971436},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5389012098312378},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5138440728187561},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5137695074081421},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.5046099424362183},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4870779812335968},{"id":"https://openalex.org/keywords/instruction-set","display_name":"Instruction set","score":0.4863005578517914},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.45374780893325806},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.42107006907463074},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.40144556760787964},{"id":"https://openalex.org/keywords/code-generation","display_name":"Code generation","score":0.31320351362228394},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.21275466680526733},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17163169384002686},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1637842357158661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11743775010108948},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.11120069026947021}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8584188222885132},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5937302708625793},{"id":"https://openalex.org/C154526789","wikidata":"https://www.wikidata.org/wiki/Q157965","display_name":"Object code","level":4,"score":0.5507814884185791},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5441672801971436},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5389012098312378},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5138440728187561},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5137695074081421},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.5046099424362183},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4870779812335968},{"id":"https://openalex.org/C202491316","wikidata":"https://www.wikidata.org/wiki/Q272683","display_name":"Instruction set","level":2,"score":0.4863005578517914},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.45374780893325806},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.42107006907463074},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.40144556760787964},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.31320351362228394},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.21275466680526733},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17163169384002686},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1637842357158661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11743775010108948},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.11120069026947021},{"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/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1066677.1066874","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1066677.1066874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM symposium on Applied computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1528788915","https://openalex.org/W1650697697","https://openalex.org/W1656564876","https://openalex.org/W1969031936","https://openalex.org/W2099961767","https://openalex.org/W2122095039","https://openalex.org/W2126121886","https://openalex.org/W2131017271","https://openalex.org/W2243185300","https://openalex.org/W4233459951","https://openalex.org/W6678846246"],"related_works":["https://openalex.org/W2127497159","https://openalex.org/W1493727516","https://openalex.org/W1482854495","https://openalex.org/W5991980","https://openalex.org/W3163715002","https://openalex.org/W1987578288","https://openalex.org/W2115007649","https://openalex.org/W643157443","https://openalex.org/W2168331211","https://openalex.org/W3006867180"],"abstract_inverted_index":{"We":[0,140],"present":[1],"a":[2,11,45,70,74,132,150],"tool":[3,54,80,144],"which":[4],"is":[5,96,103],"designed":[6],"to":[7,19,50,130,145],"be":[8,20,51],"used":[9,142],"as":[10,82],"code":[12,18,133],"compression":[13,28,77,134],"advisory":[14],"system":[15],"for":[16,116,136,149,154],"object":[17,48],"run":[21],"on":[22],"an":[23],"embedded":[24],"processor.":[25,139],"All":[26],"the":[27,35,40,53,56,84,87,90,99,107,123,137,143,155,162],"schemes":[29,148],"support":[30],"run-time":[31],"random":[32],"decompression.":[33],"Given":[34],"machine":[36],"instruction":[37,62,158],"set":[38,46,159],"architecture,":[39],"encoding":[41],"of":[42,47,73,76,86,109,119,152],"instructions,":[43],"and":[44,64,68,98,161,166],"programs":[49],"compressed,":[52],"analyzes":[55],"code,":[57,89],"gathers":[58],"statistics":[59],"about":[60],"static":[61],"frequencies":[63],"other":[65],"relevant":[66],"information,":[67],"performs":[69],"relative":[71],"evaluation":[72],"suite":[75,151],"strategies.":[78],"The":[79,125],"produces":[81],"output,":[83],"sizes":[85,108],"compressed":[88],"Line":[91],"Address":[92],"Table":[93],"(if":[94,101],"one":[95,129],"required),":[97],"dictionary":[100],"there":[102,113],"only":[104],"one)":[105],"or":[106],"all":[110],"dictionaries":[111],"if":[112],"are":[114],"several,":[115],"various":[117],"choices":[118],"parameters":[120],"input":[121,138],"by":[122],"user.":[124],"final":[126],"result":[127],"helps":[128],"decide":[131],"strategy":[135],"have":[141],"evaluate":[146],"alternate":[147],"benchmarks":[153],"TI":[156],"TMS320C62x":[157],"architecture":[160],"Intel":[163],"StrongARM":[164],"processor":[165],"report":[167],"results.":[168]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
