{"id":"https://openalex.org/W2016448615","doi":"https://doi.org/10.1109/hpcc.2012.298","title":"A practical method for quickly improving performance and reducing answer time through the selection of hot loops based on the input data","display_name":"A practical method for quickly improving performance and reducing answer time through the selection of hot loops based on the input data","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2016448615","doi":"https://doi.org/10.1109/hpcc.2012.298","mag":"2016448615"},"language":"en","primary_location":{"id":"doi:10.1109/hpcc.2012.298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc.2012.298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 14th International Conference on High Performance Computing and Communication &amp; 2012 IEEE 9th International Conference on Embedded Software and Systems","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/A5012560008","display_name":"Lamia Djoudi","orcid":null},"institutions":[{"id":"https://openalex.org/I195731000","display_name":"Universit\u00e9 de Versailles Saint-Quentin-en-Yvelines","ror":"https://ror.org/03mkjjy25","country_code":"FR","type":"education","lineage":["https://openalex.org/I195731000","https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Lamia Atma Djoudi","raw_affiliation_strings":["Universit\u00e9 de Versailles Saint-Quentin-en-Yvelines, Versailles, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Versailles Saint-Quentin-en-Yvelines, Versailles, France","institution_ids":["https://openalex.org/I195731000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050756835","display_name":"Mohamed Amine Achab","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed Amine Achab","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012560008"],"corresponding_institution_ids":["https://openalex.org/I195731000"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0884392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1150","last_page":"1157"},"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/T12127","display_name":"Software System Performance and Reliability","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9986000061035156,"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":0.8434770703315735},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6878808736801147},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6701847314834595},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6298480033874512},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6048398017883301},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5559824109077454},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23323363065719604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13545674085617065},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11772486567497253}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8434770703315735},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6878808736801147},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6701847314834595},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6298480033874512},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6048398017883301},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5559824109077454},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23323363065719604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13545674085617065},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11772486567497253},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpcc.2012.298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc.2012.298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 14th International Conference on High Performance Computing and Communication &amp; 2012 IEEE 9th International Conference on Embedded Software and Systems","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":32,"referenced_works":["https://openalex.org/W174502620","https://openalex.org/W187885531","https://openalex.org/W371480961","https://openalex.org/W1513519693","https://openalex.org/W1828177288","https://openalex.org/W2040183246","https://openalex.org/W2047226031","https://openalex.org/W2056922852","https://openalex.org/W2089323323","https://openalex.org/W2091250014","https://openalex.org/W2093708648","https://openalex.org/W2097892280","https://openalex.org/W2100006263","https://openalex.org/W2100933152","https://openalex.org/W2106296728","https://openalex.org/W2125721566","https://openalex.org/W2134748571","https://openalex.org/W2137311321","https://openalex.org/W2150196852","https://openalex.org/W2160468841","https://openalex.org/W2168519934","https://openalex.org/W2241410952","https://openalex.org/W3128129736","https://openalex.org/W4206504442","https://openalex.org/W4256441135","https://openalex.org/W6607114765","https://openalex.org/W6607570373","https://openalex.org/W6612713102","https://openalex.org/W6630810166","https://openalex.org/W6673841500","https://openalex.org/W6690348739","https://openalex.org/W6790308878"],"related_works":["https://openalex.org/W4231775656","https://openalex.org/W2046435967","https://openalex.org/W4205762803","https://openalex.org/W2383646825","https://openalex.org/W2371018915","https://openalex.org/W2354191502","https://openalex.org/W1972225038","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W3134658850"],"abstract_inverted_index":{"A":[0],"quick":[1],"resolution":[2],"of":[3,78,99,113,121,126,143],"the":[4,14,35,50,54,75,85,96,106,110,116,119,124,127,136,140],"performance":[5,17,51,70],"problem":[6],"depends":[7],"on":[8,34,74],"having":[9],"precise":[10,92],"methodology/tool":[11],"for":[12,95,109,139],"exploring":[13],"relationship":[15],"between":[16],"and":[18,43,53,80,118],"computation":[19],"analysis.":[20],"Also,":[21],"it":[22],"is":[23,40],"necessary":[24],"to":[25,67,104],"take":[26],"into":[27,83],"account":[28,84],"parameters":[29],"that":[30],"have":[31],"an":[32,41],"impact":[33],"methodology":[36,89,130],"process.":[37],"Input":[38],"data":[39],"important":[42],"a":[44,62,91,133],"main":[45],"parameter":[46],"which":[47,64],"can":[48],"involve":[49],"gain":[52],"answer":[55],"time.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60],"propose":[61],"strategy":[63],"allows":[65],"us":[66],"quickly":[68],"improve":[69],"by":[71],"(1)":[72],"focusing":[73],"hot":[76,111],"part":[77,98,112,142],"code":[79],"(2)":[81],"taking":[82],"input":[86,122],"data.":[87],"Our":[88],"provides":[90,131],"static/dynamic":[93],"analysis":[94],"selected":[97,141],"code.":[100,114,144],"It":[101],"guides":[102],"user":[103],"apply":[105],"best":[107,137],"transformation":[108,138],"Whatever":[115],"number":[117],"size":[120,125],"data,":[123],"application,":[128],"our":[129],"in":[132],"short":[134],"time":[135]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
