{"id":"https://openalex.org/W7131079262","doi":"https://doi.org/10.1109/cgo68049.2026.11395218","title":"DyPARS: Dynamic-Shape DNN Optimization via Pareto-Aware MCTS for Graph Variants","display_name":"DyPARS: Dynamic-Shape DNN Optimization via Pareto-Aware MCTS for Graph Variants","publication_year":2026,"publication_date":"2026-01-31","ids":{"openalex":"https://openalex.org/W7131079262","doi":"https://doi.org/10.1109/cgo68049.2026.11395218"},"language":null,"primary_location":{"id":"doi:10.1109/cgo68049.2026.11395218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cgo68049.2026.11395218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)","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/A5126642699","display_name":"Hao Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Hao Qian","raw_affiliation_strings":["School of Computer Science and Engineering University of New South Wales,Sydney,Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering University of New South Wales,Sydney,Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413695","display_name":"Hongyi Li","orcid":"https://orcid.org/0000-0002-4518-5315"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guangli Li","raw_affiliation_strings":["School of Computer Science and Engineering University of New South Wales,Sydney,Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering University of New South Wales,Sydney,Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108927525","display_name":"Qikun Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuchu Yu","raw_affiliation_strings":["SKLP, Institute of Computing Technology, Chinese Academy of Sciences University of Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"SKLP, Institute of Computing Technology, Chinese Academy of Sciences University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126619375","display_name":"Xueying Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueying Wang","raw_affiliation_strings":["School of Computer Science Beijing University of Posts and Telecommunications,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123851584","display_name":"Jingling Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jingling Xue","raw_affiliation_strings":["School of Computer Science and Engineering University of New South Wales,Sydney,Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering University of New South Wales,Sydney,Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5126642699"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43844941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"603","last_page":"616"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.6812999844551086,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.6812999844551086,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.12970000505447388,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.01640000008046627,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/compiler","display_name":"Compiler","score":0.7940000295639038},{"id":"https://openalex.org/keywords/rewriting","display_name":"Rewriting","score":0.5885999798774719},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5145000219345093},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5095000267028809},{"id":"https://openalex.org/keywords/compile-time","display_name":"Compile time","score":0.5077000260353088},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49480000138282776}],"concepts":[{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.7940000295639038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7914999723434448},{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.5885999798774719},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5145000219345093},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5095000267028809},{"id":"https://openalex.org/C200833197","wikidata":"https://www.wikidata.org/wiki/Q333707","display_name":"Compile time","level":3,"score":0.5077000260353088},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49480000138282776},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.43849998712539673},{"id":"https://openalex.org/C131992880","wikidata":"https://www.wikidata.org/wiki/Q2528185","display_name":"Subgraph isomorphism problem","level":3,"score":0.43689998984336853},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3944000005722046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3359000086784363},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C190902152","wikidata":"https://www.wikidata.org/wiki/Q1325106","display_name":"Optimizing compiler","level":3,"score":0.31940001249313354},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.290800005197525},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28929999470710754}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cgo68049.2026.11395218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cgo68049.2026.11395218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2101234009","https://openalex.org/W2168405694","https://openalex.org/W2194775991","https://openalex.org/W2780077279","https://openalex.org/W2804032941","https://openalex.org/W2949967139","https://openalex.org/W2954698171","https://openalex.org/W2963563691","https://openalex.org/W2964081807","https://openalex.org/W2981758446","https://openalex.org/W3012249773","https://openalex.org/W3118616291","https://openalex.org/W3120016685","https://openalex.org/W3123054690","https://openalex.org/W3174529902","https://openalex.org/W3177452048","https://openalex.org/W4212986322","https://openalex.org/W4379536906","https://openalex.org/W4382202854","https://openalex.org/W4388620366","https://openalex.org/W4392425852","https://openalex.org/W4394998528","https://openalex.org/W4394998532","https://openalex.org/W4403334425","https://openalex.org/W4407319523","https://openalex.org/W4408903581"],"related_works":[],"abstract_inverted_index":{"Dynamic-shape":[0],"DNNs":[1],"are":[2,105],"widely":[3],"used":[4],"in":[5],"applications":[6],"such":[7],"as":[8],"variable-resolution":[9],"image":[10],"processing":[11],"and":[12,54,85,129,134],"language":[13],"modeling":[14],"with":[15,66,120],"variable-length":[16],"sequences.":[17],"Existing":[18],"DL":[19,74],"(Deep-Learning)":[20],"compilers":[21],"apply":[22],"rule-based":[23],"rewriting":[24],"to":[25,38],"either":[26],"transform":[27],"a":[28,31,72,108],"subgraph":[29,57,80],"into":[30,107],"fixed":[32],"variant":[33,114],"at":[34,45,82,90],"compile":[35,83],"time":[36,84],"(leading":[37],"suboptimal":[39],"performance)":[40],"or":[41],"generate":[42],"multiple":[43],"variants":[44,58,81,104],"runtime,":[46],"incurring":[47],"significant":[48],"overhead.":[49,122],"The":[50],"challenge":[51],"is":[52],"discovering":[53],"applying":[55],"shape-dependent":[56,100],"that":[59,77],"maintain":[60],"high":[61],"efficiency":[62,144],"across":[63,138,145],"diverse":[64,146],"inputs":[65],"minimal":[67,121],"runtime":[68],"cost.We":[69],"propose":[70],"DyPARS,":[71],"dynamic-shape":[73],"compiler":[75],"approach":[76],"discovers":[78],"high-performance":[79],"applies":[86],"the":[87],"best":[88],"ones":[89],"runtime.":[91],"Leveraging":[92],"Pareto-aware":[93],"MCTS,":[94],"DyPARS":[95,123],"identifies":[96],"shape-aware":[97],"variants,":[98],"incorporating":[99],"kernel":[101],"adaptations.":[102],"These":[103],"integrated":[106],"prediction-enhanced":[109],"computational":[110],"graph,":[111],"enabling":[112],"efficient":[113],"selection":[115],"based":[116],"on":[117],"input":[118],"shapes":[119],"achieves":[124],"average":[125],"speedups":[126],"of":[127],"1.31\u00d7":[128],"1.80\u00d7":[130],"over":[131],"TorchInductor":[132],"(JIT)":[133],"BladeDISC":[135],"(non-JIT),":[136],"respectively,":[137],"five":[139],"DNN":[140],"models,":[141],"demonstrating":[142],"robust":[143],"inputs.":[147]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-02-24T00:00:00"}
