{"id":"https://openalex.org/W4412496340","doi":"https://doi.org/10.7148/2025-0162","title":"Intel Xe Architecture Automatic Parameter Tuning With FEM Numerical Integration","display_name":"Intel Xe Architecture Automatic Parameter Tuning With FEM Numerical Integration","publication_year":2025,"publication_date":"2025-06-24","ids":{"openalex":"https://openalex.org/W4412496340","doi":"https://doi.org/10.7148/2025-0162"},"language":"en","primary_location":{"id":"doi:10.7148/2025-0162","is_oa":true,"landing_page_url":"https://doi.org/10.7148/2025-0162","pdf_url":"http://www.scs-europe.net/dlib/2025/ecms2025acceptedpapers/0162_fdem_ecms2025_0051.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2025 Proceedings edited by Marco Scarpa, Salvatore Cavalieri, Salvatore Serrano, Fabrizio De Vita","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://www.scs-europe.net/dlib/2025/ecms2025acceptedpapers/0162_fdem_ecms2025_0051.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049462234","display_name":"Filip Kru\u017cel","orcid":"https://orcid.org/0000-0002-3462-9144"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Filip Kruzel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083798800","display_name":"Mateusz Nytko","orcid":"https://orcid.org/0000-0003-0606-1835"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mateusz Nytko","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049462234"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18879119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"162","last_page":"169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9616000056266785,"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":0.9616000056266785,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9549999833106995,"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/T12810","display_name":"Real-time simulation and control systems","score":0.929099977016449,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/finite-element-method","display_name":"Finite element method","score":0.6568253040313721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6190211176872253},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5844099521636963},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3797878324985504},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.37815383076667786},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.37026166915893555},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18048113584518433},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.10828167200088501}],"concepts":[{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.6568253040313721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6190211176872253},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5844099521636963},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3797878324985504},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.37815383076667786},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.37026166915893555},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18048113584518433},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.10828167200088501},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.7148/2025-0162","is_oa":true,"landing_page_url":"https://doi.org/10.7148/2025-0162","pdf_url":"http://www.scs-europe.net/dlib/2025/ecms2025acceptedpapers/0162_fdem_ecms2025_0051.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2025 Proceedings edited by Marco Scarpa, Salvatore Cavalieri, Salvatore Serrano, Fabrizio De Vita","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.7148/2025-0162","is_oa":true,"landing_page_url":"https://doi.org/10.7148/2025-0162","pdf_url":"http://www.scs-europe.net/dlib/2025/ecms2025acceptedpapers/0162_fdem_ecms2025_0051.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2025 Proceedings edited by Marco Scarpa, Salvatore Cavalieri, Salvatore Serrano, Fabrizio De Vita","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412496340.pdf","grobid_xml":"https://content.openalex.org/works/W4412496340.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2055836843","https://openalex.org/W2755775996","https://openalex.org/W3131818128","https://openalex.org/W2095941963","https://openalex.org/W2366062865","https://openalex.org/W2069701013","https://openalex.org/W2169158840","https://openalex.org/W2588198209","https://openalex.org/W1997375727","https://openalex.org/W2038503502"],"abstract_inverted_index":{"This":[0],"article":[1],"analyses":[2],"the":[3,20,49,60,74,87,96,109,170,178,185],"usability":[4],"of":[5,76,155,172],"Intel":[6,11,180],"ARC":[7,110],"770":[8,111],"based":[9,18],"on":[10,19,114],"Xe":[12],"Architecture":[13],"for":[14,149,205],"scientific":[15,150],"computational":[16,138],"tasks":[17],"Numerical":[21],"Integration":[22],"in":[23,86,95],"Finite":[24],"Element":[25],"Method":[26],"(FEM).":[27],"To":[28],"achieve":[29],"a":[30,55,83,93,153,202],"thorough":[31],"comparison,":[32],"we":[33,58,120,159],"employed":[34],"our":[35,104,189],"proprietary":[36],"auto-tuning":[37],"algorithm,":[38],"allowing":[39],"us":[40],"to":[41,66,91,161],"assess":[42],"architectural":[43,167],"differences":[44],"between":[45],"Intel\u2019s":[46,78,144],"solution":[47],"and":[48,70,140,157],"widely":[50],"adopted":[51],"Nvidia":[52,118],"architecture.":[53],"As":[54],"reference":[56,117],"point,":[57],"selected":[59],"GeForce":[61],"RTX":[62],"3060":[63],"Laptop":[64],"due":[65],"its":[67,193],"comparable":[68],"performance":[69,113],"similar":[71],"price":[72],"at":[73],"time":[75],"release.":[77],"latest":[79],"GPU":[80,181],"architecture":[81],"represents":[82],"significant":[84],"step":[85],"company\u2019s":[88],"ongoing":[89],"efforts":[90],"establish":[92],"foothold":[94],"GPGPU":[97],"market,":[98],"challenging":[99],"Nvidia\u2019s":[100],"longstanding":[101],"dominance.":[102],"While":[103],"benchmarking":[105],"results":[106],"indicate":[107],"that":[108,125,177],"delivers":[112],"par":[115],"with":[116,184],"architecture,":[119],"identified":[121],"distinctive":[122],"behavioural":[123],"characteristics":[124],"set":[126],"it":[127,200],"apart":[128],"from":[129],"previously":[130],"analyzed":[131],"architectures.":[132],"These":[133],"unique":[134],"attributes":[135],"could":[136],"affect":[137],"efficiency":[139,171],"workload":[141],"distribution,":[142],"making":[143],"approach":[145],"an":[146],"intriguing":[147],"alternative":[148],"computing.":[151],"Through":[152],"series":[154],"experiments":[156],"simulations,":[158],"aim":[160],"provide":[162],"deeper":[163],"insight":[164],"into":[165],"how":[166],"variations":[168],"influence":[169],"FEM":[173],"numerical":[174],"integration.":[175],"Given":[176],"tested":[179],"shares":[182],"similarities":[183],"professional":[186],"Xe-HPC":[187],"lineup,":[188],"research":[190],"also":[191],"explores":[192],"potential":[194],"applicability":[195],"beyond":[196],"consumer-grade":[197],"hardware,":[198],"positioning":[199],"as":[201],"viable":[203],"option":[204],"high-performance":[206],"computing":[207],"tasks.":[208]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
