{"id":"https://openalex.org/W1813069762","doi":"https://doi.org/10.1145/2001858.2002032","title":"Identifying similarities in TMBL programs with alignment to quicken their compilation for GPUs","display_name":"Identifying similarities in TMBL programs with alignment to quicken their compilation for GPUs","publication_year":2011,"publication_date":"2011-07-12","ids":{"openalex":"https://openalex.org/W1813069762","doi":"https://doi.org/10.1145/2001858.2002032","mag":"1813069762"},"language":"en","primary_location":{"id":"doi:10.1145/2001858.2002032","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2001858.2002032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th annual conference companion on Genetic and evolutionary computation","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/A5070147024","display_name":"Tony E. Lewis","orcid":null},"institutions":[{"id":"https://openalex.org/I124357947","display_name":"University of London","ror":"https://ror.org/04cw6st05","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tony E. Lewis","raw_affiliation_strings":["University of London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of London, London, United Kingdom","institution_ids":["https://openalex.org/I124357947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050583872","display_name":"George D. Magoulas","orcid":"https://orcid.org/0000-0003-1884-0772"},"institutions":[{"id":"https://openalex.org/I124357947","display_name":"University of London","ror":"https://ror.org/04cw6st05","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"George D. Magoulas","raw_affiliation_strings":["University of London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of London, London, United Kingdom","institution_ids":["https://openalex.org/I124357947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I124357947"],"apc_list":null,"apc_paid":null,"fwci":0.2713,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46344997,"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":"447","last_page":"454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","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/T11975","display_name":"Evolutionary Algorithms and Applications","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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9902999997138977,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.8260304927825928},{"id":"https://openalex.org/keywords/tweaking","display_name":"Tweaking","score":0.7686177492141724},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6722341775894165},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.6503178477287292},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.5964099764823914},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.5863889455795288},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.5709000825881958},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5164878368377686},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.45534878969192505},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3563711941242218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22486478090286255},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.16809329390525818}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8260304927825928},{"id":"https://openalex.org/C2780200862","wikidata":"https://www.wikidata.org/wiki/Q4453309","display_name":"Tweaking","level":2,"score":0.7686177492141724},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6722341775894165},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.6503178477287292},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.5964099764823914},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5863889455795288},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.5709000825881958},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5164878368377686},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.45534878969192505},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3563711941242218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22486478090286255},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.16809329390525818},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2001858.2002032","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2001858.2002032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th annual conference companion on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.bbk.ac.uk.oai2:7719","is_oa":false,"landing_page_url":"https://eprints.bbk.ac.uk/id/eprint/7719/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400465","display_name":"BIROn (Birkbeck, University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98259816","host_organization_name":"Birkbeck, University of London","host_organization_lineage":["https://openalex.org/I98259816"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Book Section"},{"id":"mag:1813069762","is_oa":false,"landing_page_url":"https://web4.cs.ucl.ac.uk/staff/W.Langdon/cigpu2011/slides/GECCO2011.CIGPU.TonyLewis.Align.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Association for Computing Machinery eBooks","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1493915704","https://openalex.org/W1749721385","https://openalex.org/W1978334975","https://openalex.org/W2042771001","https://openalex.org/W2044966609","https://openalex.org/W2074231493","https://openalex.org/W2129139249"],"related_works":["https://openalex.org/W172319129","https://openalex.org/W5574817","https://openalex.org/W2055520913","https://openalex.org/W3190904369","https://openalex.org/W2170886848","https://openalex.org/W2156560068","https://openalex.org/W2106771621","https://openalex.org/W3123639931","https://openalex.org/W2471656211","https://openalex.org/W2140495717","https://openalex.org/W3089631566","https://openalex.org/W2295329047","https://openalex.org/W2275205953","https://openalex.org/W3202359813","https://openalex.org/W1576470049","https://openalex.org/W2409870541","https://openalex.org/W2522913635","https://openalex.org/W1963770705","https://openalex.org/W3206543241","https://openalex.org/W2117159302"],"abstract_inverted_index":{"The":[0],"most":[1],"impressive":[2],"accelerations":[3],"of":[4,26,83],"Genetic":[5],"Programming":[6],"(GP)":[7],"using":[8],"the":[9,48,86],"Graphics":[10],"Processing":[11],"Unit":[12],"(GPU)":[13],"have":[14],"been":[15],"achieved":[16],"by":[17,46,101],"dynamically":[18],"compiling":[19],"new":[20],"GPU":[21],"code":[22],"for":[23],"each":[24],"batch":[25],"individuals":[27,49,82],"to":[28,42,50,90],"be":[29],"evaluated.":[30],"This":[31],"approach":[32,66],"suffers":[33],"an":[34],"overhead":[35],"in":[36,60],"compilation":[37,61,92],"time.":[38],"\\n":[39],"\\nWe":[40],"aim":[41],"reduce":[43,91],"this":[44,65],"penalty":[45],"pre-processing":[47],"identify":[51],"and":[52],"draw":[53],"out":[54],"their":[55],"similarities,":[56],"hence":[57],"reducing":[58,98],"duplication":[59],"work.":[62],"We":[63],"use":[64],"with":[67],"Tweaking":[68],"Mutation":[69],"Behaviour":[70],"Learning":[71],"(TMBL),":[72],"a":[73],"form":[74],"focused":[75],"on":[76],"long":[77],"term":[78],"fitness":[79],"growth.":[80],"For":[81],"300":[84],"instructions,":[85],"technique":[87],"is":[88],"found":[89],"time":[93],"4.817":[94],"times":[95],"whilst":[96],"only":[97],"evaluation":[99],"speed":[100],"3.656%.":[102]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
