{"id":"https://openalex.org/W4389160775","doi":"https://doi.org/10.1109/iccad57390.2023.10323961","title":"IT-DSE: Invariance Risk Minimized Transfer Microarchitecture Design Space Exploration","display_name":"IT-DSE: Invariance Risk Minimized Transfer Microarchitecture Design Space Exploration","publication_year":2023,"publication_date":"2023-10-28","ids":{"openalex":"https://openalex.org/W4389160775","doi":"https://doi.org/10.1109/iccad57390.2023.10323961"},"language":"en","primary_location":{"id":"doi:10.1109/iccad57390.2023.10323961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad57390.2023.10323961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)","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/A5104216607","display_name":"Ziyang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziyang Yu","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662676","display_name":"Chen Bai","orcid":"https://orcid.org/0000-0002-1742-0090"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Bai","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031217579","display_name":"Shoubo Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Shoubo Hu","raw_affiliation_strings":["Huawei Noah&#x0027;s Ark Lab"],"affiliations":[{"raw_affiliation_string":"Huawei Noah&#x0027;s Ark Lab","institution_ids":["https://openalex.org/I4210159102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400800","display_name":"Ran Chen","orcid":"https://orcid.org/0000-0002-2770-4070"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ran Chen","raw_affiliation_strings":["Huawei Noah&#x0027;s Ark Lab"],"affiliations":[{"raw_affiliation_string":"Huawei Noah&#x0027;s Ark Lab","institution_ids":["https://openalex.org/I4210159102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104205490","display_name":"Taohai He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100005","display_name":"Silicon Technologies (United States)","ror":"https://ror.org/013qwzt07","country_code":"US","type":"company","lineage":["https://openalex.org/I4210100005"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taohai He","raw_affiliation_strings":["HiSilicon"],"affiliations":[{"raw_affiliation_string":"HiSilicon","institution_ids":["https://openalex.org/I4210100005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078949174","display_name":"Mingxuan Yuan","orcid":"https://orcid.org/0000-0002-2236-8784"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mingxuan Yuan","raw_affiliation_strings":["Huawei Noah&#x0027;s Ark Lab"],"affiliations":[{"raw_affiliation_string":"Huawei Noah&#x0027;s Ark Lab","institution_ids":["https://openalex.org/I4210159102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051340429","display_name":"Bei Yu","orcid":"https://orcid.org/0000-0001-6406-4810"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bei Yu","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053378706","display_name":"Martin D. F. Wong","orcid":"https://orcid.org/0000-0001-8274-9688"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Martin Wong","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5104216607"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":0.8058,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77163804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9925000071525574,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9925000071525574,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.991599977016449,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/microarchitecture","display_name":"Microarchitecture","score":0.7864038944244385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7527287602424622},{"id":"https://openalex.org/keywords/design-space-exploration","display_name":"Design space exploration","score":0.5776742696762085},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5322325825691223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41845250129699707},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4125116765499115},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3577428162097931},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.230373352766037},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.212274432182312}],"concepts":[{"id":"https://openalex.org/C107598950","wikidata":"https://www.wikidata.org/wiki/Q259864","display_name":"Microarchitecture","level":2,"score":0.7864038944244385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7527287602424622},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.5776742696762085},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5322325825691223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41845250129699707},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4125116765499115},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3577428162097931},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.230373352766037},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.212274432182312},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad57390.2023.10323961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad57390.2023.10323961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W129305155","https://openalex.org/W198451133","https://openalex.org/W1492711822","https://openalex.org/W1500284996","https://openalex.org/W1983394510","https://openalex.org/W1986491730","https://openalex.org/W2082137964","https://openalex.org/W2154327203","https://openalex.org/W2154637324","https://openalex.org/W2192203593","https://openalex.org/W2225156818","https://openalex.org/W2896457183","https://openalex.org/W2963238274","https://openalex.org/W3035677605","https://openalex.org/W3036405114","https://openalex.org/W3042840909","https://openalex.org/W3047192663","https://openalex.org/W3092265192","https://openalex.org/W3188178661","https://openalex.org/W4200520905","https://openalex.org/W4243970730","https://openalex.org/W4244227015","https://openalex.org/W4287114832","https://openalex.org/W4288287305","https://openalex.org/W4308083580","https://openalex.org/W4312376326","https://openalex.org/W4318685752","https://openalex.org/W4385750006","https://openalex.org/W6608060382","https://openalex.org/W6682727442","https://openalex.org/W6730042731","https://openalex.org/W6736057607","https://openalex.org/W6755207826","https://openalex.org/W6765285020","https://openalex.org/W6780116775","https://openalex.org/W6797867632","https://openalex.org/W6854931620"],"related_works":["https://openalex.org/W4386869637","https://openalex.org/W122453572","https://openalex.org/W2169880332","https://openalex.org/W2466405623","https://openalex.org/W4387251174","https://openalex.org/W2111062328","https://openalex.org/W4242293745","https://openalex.org/W3009555776","https://openalex.org/W2151122729","https://openalex.org/W2351011383"],"abstract_inverted_index":{"The":[0,67],"microarchitecture":[1,52,128],"design":[2,11,19,65,84],"of":[3,46,105,126,139],"processors":[4],"faces":[5],"growing":[6],"complexity":[7],"due":[8],"to":[9,60,113],"expanding":[10],"space":[12],"and":[13,109,130,142],"time-intensive":[14],"verification":[15],"processes.":[16],"Utilizing":[17],"historical":[18],"task":[20],"data":[21,97],"can":[22],"improve":[23],"the":[24,39,56,87,124],"search":[25,40],"process,":[26],"but":[27],"managing":[28],"distribution":[29,98],"discrepancies":[30],"between":[31],"different":[32],"source":[33,79],"tasks":[34,80],"is":[35],"essential":[36],"for":[37],"enhancing":[38],"method's":[41],"generalization":[42,94],"ability.":[43],"In":[44],"light":[45],"this,":[47],"we":[48],"introduce":[49],"IT-DSE,":[50],"a":[51,73,103,110],"searching":[53],"framework":[54],"with":[55,82],"surrogate":[57],"model":[58,111],"pre-trained":[59],"absorb":[61],"knowledge":[62,125],"from":[63,78],"previous":[64,135],"tasks.":[66],"Feature":[68],"Tokenizer-Transformer":[69],"(FT-Transformer)":[70],"serves":[71],"as":[72],"backbone,":[74],"facilitating":[75],"feature":[76],"extraction":[77],"even":[81],"varied":[83],"spaces.":[85],"Concurrently,":[86],"invariant":[88],"risk":[89],"minimization":[90],"(IRM)":[91],"paradigm":[92],"bolsters":[93],"ability":[95],"under":[96],"discrepancies.":[99],"Further,":[100],"IT-DSE":[101,121],"exploits":[102],"combination":[104],"multi-objective":[106],"Bayesian":[107],"optimization":[108],"ensemble":[112],"discover":[114],"Pareto-optimal":[115],"designs":[116,129,132],"Experimental":[117],"results":[118],"indicate":[119],"that":[120,133],"effectively":[122],"harnesses":[123],"existing":[127],"uncovers":[131],"outperform":[134],"methods":[136],"in":[137],"terms":[138],"power,":[140],"performance,":[141],"area":[143],"(PPA).":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}
