{"id":"https://openalex.org/W7140731839","doi":"https://doi.org/10.1109/fpl68686.2025.00029","title":"EViL: An Efficient Vision-LSTM Accelerator Based on FPGA","display_name":"EViL: An Efficient Vision-LSTM Accelerator Based on FPGA","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W7140731839","doi":"https://doi.org/10.1109/fpl68686.2025.00029"},"language":null,"primary_location":{"id":"doi:10.1109/fpl68686.2025.00029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fpl68686.2025.00029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 35th International Conference on Field-Programmable Logic and Applications (FPL)","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/A5068193778","display_name":"Zexuan Deng","orcid":null},"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":"Zexuan Deng","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109573014","display_name":"Han Yi Jiao","orcid":null},"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":"Han Jiao","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenjin Huang","orcid":null},"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":"Wenjin Huang","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125177385","display_name":"Yihua Huang","orcid":null},"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":"Yihua Huang","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068193778"],"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":0.64913622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"139","last_page":"143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.10360000282526016,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.10360000282526016,"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"}},{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.07460000365972519,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0632999986410141,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.4767000079154968},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2766999900341034},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.26350000500679016},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.2540000081062317},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.24690000712871552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5741000175476074},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.4767000079154968},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.373199999332428},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.33390000462532043},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26840001344680786},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2540000081062317},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.24690000712871552},{"id":"https://openalex.org/C147494362","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Troubleshooting","level":2,"score":0.241799995303154}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fpl68686.2025.00029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fpl68686.2025.00029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 35th International Conference on Field-Programmable Logic and Applications (FPL)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5580934882164001,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G5052140407","display_name":null,"funder_award_id":"2022A1515110006,2024A1515011259,2024A1515012246","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G6701825051","display_name":null,"funder_award_id":"62276278","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2795961274","https://openalex.org/W2982041622","https://openalex.org/W2982479999","https://openalex.org/W4211085526","https://openalex.org/W4308479898","https://openalex.org/W4321637080","https://openalex.org/W4389163074","https://openalex.org/W4392828138","https://openalex.org/W4393578753"],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"the":[1,29,37,58,92,111,128,142,157,191,195,205,216,222],"Vision-LSTM":[2],"(ViL)":[3],"model,":[4],"built":[5],"upon":[6],"Extended":[7],"Long":[8],"Short-Term":[9],"Memory":[10],"(xLSTM)":[11],"building":[12],"blocks,":[13],"has":[14],"attracted":[15],"widespread":[16],"attention":[17],"due":[18],"to":[19,28,139,221],"its":[20,24,46],"excellent":[21],"performance":[22,237],"and":[23,61,104,117,198,203,239],"linear":[25],"complexity.":[26],"Due":[27],"unified":[30],"compute":[31],"architecture":[32],"of":[33,45,114,127],"GPUs,":[34],"efficiently":[35,140],"deploying":[36],"ViL":[38,76,93,129,196],"layer":[39,130,197],"on":[40,156,175,215],"GPU":[41],"is":[42],"challenging":[43],"because":[44],"complex":[47],"dataflow,":[48],"thereby":[49],"necessitating":[50],"custom":[51],"hardware":[52,172,188,209],"accelerators.":[53],"Moreover,":[54],"significant":[55],"differences":[56],"in":[57,249],"activation":[59],"distribution":[60],"quantization":[62,69,87,98,112,120,126],"sensitivity":[63,113],"among":[64],"modules,":[65],"making":[66],"most":[67],"existing":[68],"methods":[70],"for":[71,75,91,190],"CNNs":[72],"not":[73],"suitable":[74,119],"layers.":[77],"To":[78],"address":[79],"these":[80],"challenges,":[81],"we":[82,123,146,177],"propose":[83,147],"an":[84,179],"intra-layer":[85],"mixed-precision":[86],"method,":[88],"termed":[89],"ClipQuant,":[90],"layer.":[94],"By":[95,185],"introducing":[96],"variable":[97],"range":[99],"parameters":[100,106],"<tex":[101,107,230,241],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[102,108,231,242],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\alpha$</tex>":[103],"scaling":[105],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\beta$</tex>,":[109],"assessing":[110],"each":[115],"module,":[116],"imposing":[118],"parameter":[121],"constraints,":[122],"achieve":[124,163],"near-lossless":[125],"(accuracy":[131],"loss":[132],"<":[133],"1%)":[134],"with":[135,169],"low":[136],"precision.":[137],"Furthermore,":[138],"process":[141],"quantized":[143],"low-bit-width":[144],"data,":[145],"a":[148,229,240],"self-correcting,":[149],"packed":[150],"DSP":[151,166],"MAC":[152,167],"calculation":[153],"structure":[154],"based":[155],"Xilinx":[158,217],"DSP48E2":[159],"slices.":[160],"We":[161,212],"first":[162],"error-free":[164],"cascaded":[165],"operations":[168],"minimal":[170],"additional":[171],"resources.":[173],"Based":[174],"this,":[176],"design":[178],"efficient":[180],"FPGA-based":[181],"stream-style":[182],"accelerator,":[183],"EViL.":[184],"crafting":[186],"dedicated":[187],"units":[189],"various":[192],"modules":[193],"within":[194],"allocating":[199],"appropriate":[200],"data":[201],"streams":[202],"throughput,":[204],"accelerator":[206],"attains":[207],"high":[208],"resource":[210],"utilization.":[211],"implement":[213],"EViL":[214,227],"ZCU102":[218],"platform.":[219],"Compared":[220],"NVIDIA":[223],"RTX":[224],"3090":[225],"baseline,":[226],"achieves":[228],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$1.10":[232],"\\times":[233,244],"\\sim":[234,245],"1.49":[235],"\\times$</tex>":[236,247],"improvement":[238,248],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$36.95":[243],"45.50":[246],"energy":[250],"efficiency.":[251]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2026-03-27T00:00:00"}
