{"id":"https://openalex.org/W1990104412","doi":"https://doi.org/10.1080/08839519408945449","title":"ARTIFICIAL INTELLIGENCE IN SCHEDULING AND INSTRUCTION SELECTION FOR DIGITAL SIGNAL PROCESSORS","display_name":"ARTIFICIAL INTELLIGENCE IN SCHEDULING AND INSTRUCTION SELECTION FOR DIGITAL SIGNAL PROCESSORS","publication_year":1994,"publication_date":"1994-07-01","ids":{"openalex":"https://openalex.org/W1990104412","doi":"https://doi.org/10.1080/08839519408945449","mag":"1990104412"},"language":"en","primary_location":{"id":"doi:10.1080/08839519408945449","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839519408945449","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5030011493","display_name":"K.H. Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"KIN H. YU","raw_affiliation_strings":["Department of Electrical and Computer Engineering , University of Wisconsin-Madison , Madison, Wisconsin, USA","Department of Electrical and Computer Engineering, University of Wisconsin\u2013Madison, Madison, Wisconsin, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering , University of Wisconsin-Madison , Madison, Wisconsin, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Wisconsin\u2013Madison, Madison, Wisconsin, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100721274","display_name":"Yu Hen Hu","orcid":"https://orcid.org/0000-0003-3427-0677"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"YU HEN HU","raw_affiliation_strings":["Department of Electrical and Computer Engineering , University of Wisconsin-Madison , Madison, Wisconsin, USA","Department of Electrical and Computer Engineering, University of Wisconsin\u2013Madison, Madison, Wisconsin, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering , University of Wisconsin-Madison , Madison, Wisconsin, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Wisconsin\u2013Madison, Madison, Wisconsin, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030011493"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":0.3975,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64586847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":"3","first_page":"377","last_page":"392"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9962999820709229,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9962999820709229,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9934999942779541,"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/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.9245368242263794},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5175944566726685},{"id":"https://openalex.org/keywords/instruction-scheduling","display_name":"Instruction scheduling","score":0.5054683685302734},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4534112215042114},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4230634272098541},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.41766875982284546},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41330209374427795},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3465348482131958},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.33552518486976624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2721058130264282},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1961301565170288},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.1814034879207611},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.11888056993484497},{"id":"https://openalex.org/keywords/rate-monotonic-scheduling","display_name":"Rate-monotonic scheduling","score":0.10260680317878723},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08959037065505981}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9245368242263794},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5175944566726685},{"id":"https://openalex.org/C73564150","wikidata":"https://www.wikidata.org/wiki/Q11417093","display_name":"Instruction scheduling","level":5,"score":0.5054683685302734},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4534112215042114},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4230634272098541},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.41766875982284546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41330209374427795},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3465348482131958},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.33552518486976624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2721058130264282},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1961301565170288},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.1814034879207611},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.11888056993484497},{"id":"https://openalex.org/C127456818","wikidata":"https://www.wikidata.org/wiki/Q238879","display_name":"Rate-monotonic scheduling","level":4,"score":0.10260680317878723},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08959037065505981},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/08839519408945449","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839519408945449","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W44810752","https://openalex.org/W1516857049","https://openalex.org/W1518828487","https://openalex.org/W1547987132","https://openalex.org/W1557486623","https://openalex.org/W1578696966","https://openalex.org/W1598048396","https://openalex.org/W1968833464","https://openalex.org/W1981627423","https://openalex.org/W2032102882","https://openalex.org/W2051664111","https://openalex.org/W2054873730","https://openalex.org/W2056549821","https://openalex.org/W2065496085","https://openalex.org/W2070053315","https://openalex.org/W2075728160","https://openalex.org/W2084335986","https://openalex.org/W2109507516","https://openalex.org/W2112824813","https://openalex.org/W2118034614","https://openalex.org/W2138650611","https://openalex.org/W2340812064","https://openalex.org/W3023540311","https://openalex.org/W3139316869","https://openalex.org/W4238476000","https://openalex.org/W6630963714","https://openalex.org/W6676607282","https://openalex.org/W7036056368"],"related_works":["https://openalex.org/W1533543133","https://openalex.org/W2115140794","https://openalex.org/W2041120224","https://openalex.org/W1504320321","https://openalex.org/W2067902980","https://openalex.org/W4312275919","https://openalex.org/W2056396287","https://openalex.org/W1991993901","https://openalex.org/W2034393996","https://openalex.org/W2099833385"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"describe":[4],"a":[5,34],"novel":[6],"approach":[7,19],"to":[8,43,55,65,99],"the":[9,56,59,66,69,90],"scheduling":[10],"and":[11,26,33,62],"instruction":[12],"selection":[13],"phases":[14],"of":[15,58,68,89,101],"code":[16,39,92],"generation.":[17],"Our":[18,47],"mimics":[20],"that":[21,74,100],"used":[22],"by":[23,104],"human":[24,105],"programmers":[25],"combines":[27],"heuristic":[28],"search":[29],"with":[30,81],"hierarchical":[31],"planning":[32],"modified":[35],"means-ends":[36],"analysis.":[37],"Optimal":[38],"generation":[40],"is":[41,93],"known":[42],"be":[44,50,79],"NP-Complete":[45],"hard.":[46],"algorithm":[48],"can":[49,78],"executed":[51],"in":[52],"time":[53],"polynomial":[54],"size":[57],"input":[60],"program":[61],"exponential":[63],"only":[64],"depth":[67],"search.":[70],"Empirical":[71],"results":[72,77],"show":[73],"very":[75],"good":[76],"accomplished":[80],"depths":[82],"as":[83,85],"small":[84],"3.":[86],"The":[87],"quality":[88],"generated":[91,103],"comparable":[94],"(in":[95],"some":[96],"cases":[97],"superior)":[98],"codes":[102],"digital":[106],"signal":[107],"processing":[108],"experts.":[109]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}