{"id":"https://openalex.org/W4410582469","doi":"https://doi.org/10.23919/date64628.2025.10992589","title":"Poros: One-Level Architecture-Mapping Co-Exploration for Tensor Algorithms","display_name":"Poros: One-Level Architecture-Mapping Co-Exploration for Tensor Algorithms","publication_year":2025,"publication_date":"2025-03-31","ids":{"openalex":"https://openalex.org/W4410582469","doi":"https://doi.org/10.23919/date64628.2025.10992589"},"language":"en","primary_location":{"id":"doi:10.23919/date64628.2025.10992589","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10992589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation & Test in Europe Conference (DATE)","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/A5101534623","display_name":"Fuyu Wang","orcid":"https://orcid.org/0000-0003-3165-873X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fuyu Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002840650","display_name":"Minghua Shen","orcid":"https://orcid.org/0000-0003-4747-8020"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghua Shen","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101534623"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13988095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9836000204086304,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9824000000953674,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6219574213027954},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5662249326705933},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.44316524267196655},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40390318632125854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20267704129219055},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07266426086425781},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.05761334300041199}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6219574213027954},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5662249326705933},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.44316524267196655},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40390318632125854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20267704129219055},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07266426086425781},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.05761334300041199},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date64628.2025.10992589","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10992589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation & Test in Europe Conference (DATE)","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":29,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2024060531","https://openalex.org/W2194775991","https://openalex.org/W2606722458","https://openalex.org/W2625457103","https://openalex.org/W2732547613","https://openalex.org/W2804032941","https://openalex.org/W2906043559","https://openalex.org/W2940862705","https://openalex.org/W2945146780","https://openalex.org/W2963163009","https://openalex.org/W2964472696","https://openalex.org/W2980104813","https://openalex.org/W2980200167","https://openalex.org/W2997929983","https://openalex.org/W3012249773","https://openalex.org/W3042501387","https://openalex.org/W3090480494","https://openalex.org/W3102790199","https://openalex.org/W3135807226","https://openalex.org/W3192336523","https://openalex.org/W3193212547","https://openalex.org/W3212403328","https://openalex.org/W4213249026","https://openalex.org/W4318541538","https://openalex.org/W4360831810","https://openalex.org/W6739901393","https://openalex.org/W6770165107","https://openalex.org/W6779728309"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Tensor":[0],"algorithms":[1,20],"increasingly":[2],"rely":[3],"on":[4],"specialized":[5],"accelerators":[6,137],"to":[7,96,116,126],"meet":[8],"growing":[9],"performance":[10],"and":[11,21,35,47,87,129,138],"efficiency":[12],"demands.":[13],"Given":[14],"the":[15,22,41,50,101,109],"rapid":[16],"evolution":[17],"of":[18,25,52,84],"these":[19],"high":[23],"cost":[24],"designing":[26],"accelerators,":[27],"automated":[28],"solutions":[29],"for":[30],"jointly":[31],"optimizing":[32],"both":[33],"architectures":[34],"mappings":[36],"have":[37],"gained":[38],"attention.":[39],"However,":[40],"joint":[42,103],"design":[43,104],"space":[44],"is":[45],"non-convex":[46],"non-smooth,":[48],"hindering":[49],"finding":[51],"optimal":[53],"or":[54],"near-optimal":[55],"designs.":[56],"Moreover,":[57],"prior":[58],"work":[59],"conducts":[60],"two-level":[61],"exploration,":[62],"resulting":[63],"in":[64,100],"a":[65,74,82],"combinatorial":[66],"explosion.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71],"propose":[72],"Poros,":[73],"one-level":[75,144],"architecture-mapping":[76,85],"co-exploration":[77],"framework.":[78],"Poros":[79,111,123,147],"directly":[80],"explores":[81],"batch":[83],"configurations":[86],"evaluates":[88],"their":[89],"performance.":[90],"It":[91],"then":[92],"exploits":[93],"reinforcement":[94],"learning":[95],"perform":[97],"gradient-based":[98],"search":[99],"non-smooth":[102],"space.":[105],"By":[106],"sampling":[107],"from":[108],"policy,":[110],"keeps":[112],"exploring":[113],"new":[114],"actions":[115],"address":[117],"non-convexity.":[118],"Experimental":[119],"results":[120],"demonstrate":[121],"that":[122],"achieves":[124],"up":[125],"5.32":[127],"\u00d7":[128,131],"2.15":[130],"better":[132],"EDP":[133],"compared":[134],"with":[135],"hand-designed":[136],"state-of-the-art":[139],"automatic":[140],"approaches":[141],"respectively.":[142],"Through":[143],"exploration":[145],"scheme,":[146],"also":[148],"converges":[149],"at":[150],"least":[151],"20%":[152],"faster":[153],"than":[154],"other":[155],"approaches.":[156]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}