{"id":"https://openalex.org/W7140681269","doi":"https://doi.org/10.1109/fpl68686.2025.00062","title":"Analytical Buffer Sizing for Neural Network Inference Applications on FPGAs","display_name":"Analytical Buffer Sizing for Neural Network Inference Applications on FPGAs","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W7140681269","doi":"https://doi.org/10.1109/fpl68686.2025.00062"},"language":null,"primary_location":{"id":"doi:10.1109/fpl68686.2025.00062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fpl68686.2025.00062","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/A5047367440","display_name":"Lukas Stasytis","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Lukas Stasytis","raw_affiliation_strings":["Technical University of Darmstadt,Systems Group,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Darmstadt,Systems Group,Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085369326","display_name":"Felix Jentzsch","orcid":"https://orcid.org/0000-0003-4987-5708"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Felix Jentzsch","raw_affiliation_strings":["Paderborn University,Computer Engineering Group,Germany"],"affiliations":[{"raw_affiliation_string":"Paderborn University,Computer Engineering Group,Germany","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082765592","display_name":"Zsolt Istv\u00e1n","orcid":"https://orcid.org/0000-0002-4127-8573"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zsolt Istv\u00e1n","raw_affiliation_strings":["Technical University of Darmstadt,Systems Group,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Darmstadt,Systems Group,Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047367440"],"corresponding_institution_ids":["https://openalex.org/I31512782"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.67398796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"356","last_page":"356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11005","display_name":"Radiation Effects in Electronics","score":0.1103999987244606,"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/T11005","display_name":"Radiation Effects in Electronics","score":0.1103999987244606,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.10130000114440918,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.0706000030040741,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6139000058174133},{"id":"https://openalex.org/keywords/sizing","display_name":"Sizing","score":0.5602999925613403},{"id":"https://openalex.org/keywords/buffer","display_name":"Buffer (optical fiber)","score":0.5027999877929688},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.4318999946117401},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4034999907016754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6726999878883362},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6139000058174133},{"id":"https://openalex.org/C2777767291","wikidata":"https://www.wikidata.org/wiki/Q1080291","display_name":"Sizing","level":2,"score":0.5602999925613403},{"id":"https://openalex.org/C145018004","wikidata":"https://www.wikidata.org/wiki/Q4985944","display_name":"Buffer (optical fiber)","level":2,"score":0.5027999877929688},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.4318999946117401},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4034999907016754},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3531999886035919},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34950000047683716},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32199999690055847},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2736999988555908}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fpl68686.2025.00062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fpl68686.2025.00062","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2107101659","https://openalex.org/W2888910611","https://openalex.org/W2891946740"],"related_works":[],"abstract_inverted_index":{"A":[0],"crucial":[1],"and":[2,29,93,104,121,148],"challenging":[3],"step":[4],"of":[5,15,74,91,126,142],"implementing":[6],"neural":[7,52,116],"network":[8,117],"inference":[9,118],"on":[10,77,119],"FPGAs":[11,120],"is":[12,39,80,96],"the":[13,19,71,89,112],"sizing":[14,38,86],"intermediate":[16],"buffers":[17,23],"between":[18],"pipeline":[20],"stages.":[21],"Under-sizing":[22],"can":[24],"lead":[25],"to":[26,82],"throughput":[27],"loss":[28],"deadlocks,":[30],"over-sizing":[31],"wastes":[32],"valuable":[33],"device":[34],"resources.":[35],"Typically,":[36],"buffer":[37,85,131],"performed":[40],"either":[41],"with":[42,101,130],"exhaustive":[43,135],"search":[44,136],"or":[45],"solvers,":[46],"accompanied":[47],"by":[48,87,98],"simulations.":[49],"With":[50],"modern":[51],"networks":[53],"rapidly":[54],"growing":[55],"in":[56],"size,":[57],"these":[58],"approaches":[59],"become":[60],"infeasibly":[61],"time":[62],"consuming.":[63],"In":[64],"this":[65],"work,":[66],"we":[67],"show":[68,122],"how":[69],"given":[70],"specialized":[72],"domain":[73],"machine":[75],"learning":[76],"FPGAs,":[78],"it":[79],"feasible":[81],"dramatically":[83],"speedup":[84],"avoiding":[88],"use":[90],"simulations":[92],"solvers.":[94],"This":[95],"done":[97],"replacing":[99],"them":[100],"analytical":[102],"modeling":[103],"heuristics":[105],"respectively.":[106],"We":[107],"incorporate":[108],"our":[109],"approach":[110],"into":[111],"FINN":[113],"compiler":[114],"for":[115,138],"over":[123],"three":[124],"orders":[125],"magnitude":[127],"speed":[128],"up":[129],"sizes":[132],"closely":[133],"matching":[134],"results":[137],"a":[139],"wide":[140],"range":[141],"example":[143],"models":[144],"such":[145],"as":[146],"mobilenet-v1":[147],"resnet50.":[149]},"counts_by_year":[],"updated_date":"2026-03-28T06:11:35.319607","created_date":"2026-03-27T00:00:00"}