{"id":"https://openalex.org/W7124175675","doi":"https://doi.org/10.1109/icpads67057.2025.11322908","title":"FASP: A Fast and Accurate Framework for Schedule Performance Evaluation","display_name":"FASP: A Fast and Accurate Framework for Schedule Performance Evaluation","publication_year":2025,"publication_date":"2025-12-14","ids":{"openalex":"https://openalex.org/W7124175675","doi":"https://doi.org/10.1109/icpads67057.2025.11322908"},"language":null,"primary_location":{"id":"doi:10.1109/icpads67057.2025.11322908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11322908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","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/A5112180728","display_name":"Lan Q","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingqiu Lan","raw_affiliation_strings":["School of Computer Science, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051490998","display_name":"Ao Ren","orcid":"https://orcid.org/0000-0002-2322-8038"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Ren","raw_affiliation_strings":["School of Computer Science, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040836917","display_name":"Z.F. Wang","orcid":"https://orcid.org/0009-0002-1550-5258"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Wang","raw_affiliation_strings":["School of Computer Science, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123023270","display_name":"Wei Li","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Computer Science, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121550778","display_name":"Hongbin Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Zhu","raw_affiliation_strings":["School of Computer Science, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066818952","display_name":"Yujuan Tan","orcid":"https://orcid.org/0000-0002-9055-5389"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujuan Tan","raw_affiliation_strings":["School of Computer Science, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675843","display_name":"Duo Liu","orcid":"https://orcid.org/0000-0002-3040-2065"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duo Liu","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121570718","display_name":"Kan Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kan Zhong","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014967811","display_name":"Chaoxia Qin","orcid":"https://orcid.org/0000-0002-7193-9993"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoxia Qin","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"08"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.5166000127792358,"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":0.5166000127792358,"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/T10933","display_name":"Real-Time Systems Scheduling","score":0.08309999853372574,"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":0.07909999787807465,"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/overhead","display_name":"Overhead (engineering)","score":0.5378000140190125},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5339000225067139},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.45899999141693115},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43650001287460327},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.435699999332428},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4343000054359436},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4246000051498413},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4099999964237213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8180999755859375},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5378000140190125},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5339000225067139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5174999833106995},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.45899999141693115},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43650001287460327},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.435699999332428},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4343000054359436},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4246000051498413},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4099999964237213},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40880000591278076},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.40849998593330383},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.39649999141693115},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.35850000381469727},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3140999972820282},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3061999976634979},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2872999906539917},{"id":"https://openalex.org/C128099668","wikidata":"https://www.wikidata.org/wiki/Q573952","display_name":"Lazy evaluation","level":3,"score":0.2800000011920929},{"id":"https://openalex.org/C2778820799","wikidata":"https://www.wikidata.org/wiki/Q3454688","display_name":"Cost reduction","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpads67057.2025.11322908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11322908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G53602013","display_name":null,"funder_award_id":"62572085,62472058,62402070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2982083293","https://openalex.org/W3004659153","https://openalex.org/W3012249773","https://openalex.org/W4318541553","https://openalex.org/W4389231539","https://openalex.org/W4394945233"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,18,28,33,43,46,74,77,165],"widespread":[2],"application":[3],"of":[4,45,67,71,76,167],"deep":[5,20],"neural":[6],"networks,":[7],"improving":[8],"inference":[9],"efficiency":[10,75],"has":[11],"become":[12],"increasingly":[13],"critical.":[14],"To":[15,80],"speed":[16],"up":[17],"inference,":[19],"learning":[21],"compilers":[22],"search":[23],"for":[24,27,92,114,135,158],"high-performance":[25,50,202],"schedules":[26,203],"DNN":[29],"tensor":[30],"programs.":[31],"During":[32],"process,":[34],"cost":[35,155],"models":[36],"have":[37],"been":[38],"extensively":[39],"studied":[40],"to":[41,110,192],"evaluate":[42],"performance":[44,68,94,161,179],"schedules,":[47],"such":[48],"that":[49],"ones":[51],"can":[52,200],"be":[53],"efficiently":[54],"obtained.":[55],"However,":[56],"existing":[57],"methods":[58,169],"suffer":[59],"from":[60,189],"either":[61],"high":[62],"overhead":[63],"or":[64],"low":[65],"accuracy":[66],"evaluation,":[69,95,185],"both":[70,181],"which":[72,130],"limit":[73],"final":[78],"schedule.":[79],"address":[81],"these":[82],"issues,":[83],"we":[84,103,120,145],"propose":[85,104,121,146],"FASP,":[86],"a":[87,105,122,147,153],"fast":[88],"and":[89,140,152,183],"accurate":[90,116,160],"framework":[91],"schedule":[93],"based":[96,126],"on":[97,127],"Abstract":[98],"Syntax":[99],"Trees":[100],"(ASTs).":[101],"First,":[102],"redundancy-aware":[106],"ASTs":[107,113,149],"reduction":[108],"method":[109,125,151],"generate":[111],"compact":[112,128],"more":[115,159],"feature":[117,123],"extraction.":[118],"Second,":[119],"extraction":[124],"ASTs,":[129],"extracts":[131],"features":[132],"by":[133,170],"accounting":[134],"computation":[136],"nodes,":[137,139],"loop":[138],"their":[141],"structural":[142],"relationships.":[143],"Third,":[144],"composition-similarity-driven":[148],"classification":[150],"class-specific":[154],"model":[156],"architecture":[157],"evaluation.":[162],"FASP":[163,199],"overcomes":[164],"limitations":[166],"prior":[168],"significantly":[171],"reducing":[172],"evaluation":[173],"errors.":[174],"Experiments":[175],"show":[176],"its":[177],"excellent":[178],"in":[180],"single-model":[182],"cross-model":[184],"with":[186,204],"errors":[187],"ranging":[188],"6":[190],"%":[191],"<tex":[193,205],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[194,206],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{1":[195],"3":[196],"\\%}$</tex>.":[197],"Moreover,":[198],"obtain":[201],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$13":[207],"\\times$</tex>":[208],"lower":[209],"latency.":[210]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-15T00:00:00"}