{"id":"https://openalex.org/W4406339903","doi":"https://doi.org/10.23919/date64628.2025.10993010","title":"MPTorch-FPGA: A Custom Mixed-Precision Framework for FPGA-Based DNN Training","display_name":"MPTorch-FPGA: A Custom Mixed-Precision Framework for FPGA-Based DNN Training","publication_year":2025,"publication_date":"2025-03-31","ids":{"openalex":"https://openalex.org/W4406339903","doi":"https://doi.org/10.23919/date64628.2025.10993010"},"language":"en","primary_location":{"id":"doi:10.23919/date64628.2025.10993010","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10993010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation &amp;amp; Test in Europe Conference (DATE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04882989/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101291651","display_name":"Sami Ben Ali","orcid":null},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Sami Ben Ali","raw_affiliation_strings":["Inria, Univ. Rennes"],"affiliations":[{"raw_affiliation_string":"Inria, Univ. Rennes","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034455519","display_name":"Silviu-Ioan Filip","orcid":null},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Silviu-Ioan Filip","raw_affiliation_strings":["Inria, Univ. Rennes"],"affiliations":[{"raw_affiliation_string":"Inria, Univ. Rennes","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108879698","display_name":"Olivier Sentieys","orcid":null},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Sentieys","raw_affiliation_strings":["Inria, Univ. Rennes"],"affiliations":[{"raw_affiliation_string":"Inria, Univ. Rennes","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071113717","display_name":"Guy Lemieux","orcid":"https://orcid.org/0000-0002-7924-8695"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Guy Lemieux","raw_affiliation_strings":["University of British Columbia"],"affiliations":[{"raw_affiliation_string":"University of British Columbia","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101291651"],"corresponding_institution_ids":["https://openalex.org/I56067802"],"apc_list":null,"apc_paid":null,"fwci":1.2205,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74521128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T13382","display_name":"Robotics and Automated Systems","score":0.8787999749183655,"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"}},"topics":[{"id":"https://openalex.org/T13382","display_name":"Robotics and Automated Systems","score":0.8787999749183655,"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"}},{"id":"https://openalex.org/T11283","display_name":"Experimental Learning in Engineering","score":0.8112000226974487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14470","display_name":"Advanced Data Processing Techniques","score":0.7851999998092651,"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/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.9102833271026611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7406536340713501},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5615431070327759},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4183485507965088},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.39530766010284424},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.358503520488739}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.9102833271026611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7406536340713501},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5615431070327759},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4183485507965088},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.39530766010284424},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.358503520488739},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/date64628.2025.10993010","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10993010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation &amp;amp; Test in Europe Conference (DATE)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04882989v2","is_oa":true,"landing_page_url":"https://hal.science/hal-04882989","pdf_url":"https://hal.science/hal-04882989/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"DATE 2025 - 28th IEEE/ACM Design, Automation and Test in Europe, Mar 2025, Lyon, France. pp.1-6","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04882989v2","is_oa":true,"landing_page_url":"https://hal.science/hal-04882989","pdf_url":"https://hal.science/hal-04882989/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"DATE 2025 - 28th IEEE/ACM Design, Automation and Test in Europe, Mar 2025, Lyon, France. pp.1-6","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406339903.pdf","grobid_xml":"https://content.openalex.org/works/W4406339903.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2116292260","https://openalex.org/W2155893237","https://openalex.org/W2194775991","https://openalex.org/W2557355796","https://openalex.org/W2945097505","https://openalex.org/W2949469598","https://openalex.org/W2996351509","https://openalex.org/W3035232708","https://openalex.org/W3089022192","https://openalex.org/W3093804823","https://openalex.org/W3176714321","https://openalex.org/W3208633927","https://openalex.org/W3211043030","https://openalex.org/W4283697602","https://openalex.org/W4285200511","https://openalex.org/W4287882613","https://openalex.org/W4304693398","https://openalex.org/W4311647561","https://openalex.org/W4323345742","https://openalex.org/W4379115884","https://openalex.org/W4390833969","https://openalex.org/W6638783484","https://openalex.org/W6767032739"],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2111241003","https://openalex.org/W2233261550","https://openalex.org/W2096844293","https://openalex.org/W2363944576","https://openalex.org/W2351041855","https://openalex.org/W2570254841","https://openalex.org/W1967938402","https://openalex.org/W2386041993","https://openalex.org/W1608572506"],"abstract_inverted_index":{"Training":[0],"Deep":[1],"Neural":[2],"Networks":[3],"(DNNs)":[4],"is":[5],"computationally":[6],"demanding,":[7],"leading":[8],"to":[9,17,48,105,132],"a":[10,88,128,143,153],"growing":[11],"interest":[12],"in":[13,77,83],"reduced":[14],"precision":[15,29,55,108,172],"formats":[16,26],"enhance":[18],"hardware":[19,167],"efficiency.":[20],"Several":[21],"frame-works":[22],"explore":[23],"custom":[24,54,129],"number":[25,156],"with":[27,94,103],"parameterizable":[28],"through":[30],"software":[31],"emulation":[32],"on":[33,111],"CPUs":[34],"or":[35,113],"GPUs.":[36],"However,":[37],"they":[38],"lack":[39],"comprehensive":[40],"support":[41],"for":[42,56,69,91],"different":[43],"rounding":[44,160],"modes":[45],"and":[46,74,80,97,159,166,180,191],"struggle":[47],"accurately":[49],"evaluate":[50],"the":[51,66,137,171,189],"impact":[52],"of":[53,65,121,139,145,155,173,194],"FPGA-based":[57],"targets.":[58],"This":[59],"paper":[60],"introduces":[61],"MPTorch-FPGA,":[62,140],"an":[63],"extension":[64],"MPTorch":[67],"framework":[68],"performing":[70],"custom,":[71],"multi-precision":[72],"inference":[73],"training":[75,110,146],"computations":[76],"CPU,":[78],"GPU,":[79],"FPGA":[81,125],"environments":[82],"PyTorch.":[84],"MPTorch-FPGA":[85],"can":[86],"generate":[87],"model-specific":[89],"accelerator":[90],"DNN":[92,109,150],"training,":[93],"customizable":[95],"sizes":[96],"arithmetic":[98],"implementations,":[99],"providing":[100],"bit-level":[101],"accuracy":[102,165],"respect":[104],"emulated":[106],"low":[107],"GPUs":[112],"CPUs.":[114],"An":[115],"offline":[116],"matching":[117],"algorithm":[118],"selects":[119],"one":[120],"several":[122],"pre-generated":[123],"(static)":[124],"configurations":[126,158],"using":[127,148],"performance":[130,168,175],"model":[131,176],"estimate":[133],"latency.":[134],"To":[135],"showcase":[136],"versatility":[138],"we":[141],"present":[142],"series":[144],"benchmarks":[147],"diverse":[149],"models,":[151],"exploring":[152],"range":[154],"format":[157],"modes.":[161],"We":[162],"report":[163],"both":[164],"metrics,":[169],"verifying":[170],"our":[174,195],"by":[177],"comparing":[178],"estimated":[179],"measured":[181],"latencies":[182],"across":[183],"multiple":[184],"benchmarks.":[185],"These":[186],"results":[187],"highlight":[188],"flexibility":[190],"practical":[192],"value":[193],"framework.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
