{"id":"https://openalex.org/W7164170623","doi":"https://doi.org/10.1109/fccm68464.2026.00083","title":"Unleashing Heterogeneous Systems Capabilities to Enhance Compute-Intensive Workloads","display_name":"Unleashing Heterogeneous Systems Capabilities to Enhance Compute-Intensive Workloads","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7164170623","doi":"https://doi.org/10.1109/fccm68464.2026.00083"},"language":null,"primary_location":{"id":"doi:10.1109/fccm68464.2026.00083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fccm68464.2026.00083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 34th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)","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/A5103099232","display_name":"Giuseppe Sorrentino","orcid":"https://orcid.org/0009-0009-3025-8620"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Sorrentino","raw_affiliation_strings":["Politecnico di Milano"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031247318","display_name":"Davide Conficconi","orcid":"https://orcid.org/0000-0002-5834-0812"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Conficconi","raw_affiliation_strings":["Politecnico di Milano"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.85466314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"321","last_page":"322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.3003000020980835,"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":0.3003000020980835,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.13500000536441803,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.09059999883174896,"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/key","display_name":"Key (lock)","score":0.3465999960899353},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.3102000057697296},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.27410000562667847},{"id":"https://openalex.org/keywords/dynamic-capabilities","display_name":"Dynamic capabilities","score":0.2542000114917755},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.2493000030517578}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5957000255584717},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3465999960899353},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.2775000035762787},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C2780504989","wikidata":"https://www.wikidata.org/wiki/Q2742037","display_name":"Dynamic capabilities","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2493000030517578},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2363000065088272},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.23569999635219574},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.23229999840259552}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fccm68464.2026.00083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fccm68464.2026.00083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 34th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)","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":8,"referenced_works":["https://openalex.org/W1983309412","https://openalex.org/W3197787694","https://openalex.org/W4400656480","https://openalex.org/W4410810249","https://openalex.org/W4410810368","https://openalex.org/W4411725362","https://openalex.org/W7155498797","https://openalex.org/W7164130461"],"related_works":[],"abstract_inverted_index":{"Heterogeneous":[0],"systems":[1,37],"are":[2],"a":[3,63,91,139,148],"key":[4],"enabler":[5],"for":[6,102],"meeting":[7],"the":[8,155],"tight":[9],"performance":[10],"and":[11,29,32,62,77,98],"energy-efficiency":[12],"demands":[13],"of":[14,43,65,158],"modern":[15,121],"artificial":[16],"intelligence":[17],"workloads.":[18],"By":[19],"integrating":[20],"diverse":[21],"compute":[22],"units,":[23],"such":[24],"as":[25],"scalar":[26],"cores,":[27],"vector":[28],"matrix":[30],"processors,":[31,131],"Programmable":[33],"Logic":[34],"(PL),":[35],"these":[36,86],"can":[38],"exploit":[39,50],"multiple,":[40],"complementary":[41],"forms":[42],"parallelism.":[44],"However,":[45],"current":[46],"design":[47,67,100,157],"methodologies":[48,101],"rarely":[49],"this":[51,88],"heterogeneity":[52],"effectively.":[53],"In":[54],"practice,":[55],"developers":[56],"face":[57],"fragmented":[58],"toolchains,":[59],"limited":[60],"abstractions,":[61],"lack":[64],"systematic":[66,156],"guidelines,":[68],"leading":[69],"to":[70,108,114],"suboptimal":[71],"resource":[72],"utilization,":[73],"longer":[74],"development":[75,145,151],"time,":[76],"inefficient":[78],"application":[79],"mapping":[80],"across":[81],"heterogeneous":[82,103,160],"components.":[83],"To":[84],"address":[85],"challenges,":[87],"research":[89],"proposes":[90],"unified":[92],"approach":[93,137],"that":[94,125],"combines":[95],"analytical":[96],"modelling":[97],"practical":[99],"systems.":[104],"The":[105,135],"objective":[106],"is":[107],"provide":[109],"designers":[110],"with":[111,118,128,142],"structured":[112],"guidelines":[113],"effectively":[115],"leverage":[116],"heterogeneity,":[117],"validation":[119],"on":[120],"AMD":[122],"Versal":[123],"platforms":[124],"combine":[126],"PL":[127],"hardened":[129],"VLIW":[130],"namely":[132],"AI":[133],"Engines.":[134],"proposed":[136],"introduces":[138],"methodology":[140],"paired":[141],"an":[143],"open-source":[144],"framework,":[146],"proving":[147],"reduction":[149],"in":[150],"effort":[152],"while":[153],"enabling":[154],"efficient":[159],"accelerators.":[161]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-06-11T00:00:00"}
