{"id":"https://openalex.org/W4403391119","doi":"https://doi.org/10.1109/iotsms62296.2024.10710209","title":"NeuralCasting: A Front-End Compilation Infrastructure for Neural Networks","display_name":"NeuralCasting: A Front-End Compilation Infrastructure for Neural Networks","publication_year":2024,"publication_date":"2024-09-02","ids":{"openalex":"https://openalex.org/W4403391119","doi":"https://doi.org/10.1109/iotsms62296.2024.10710209"},"language":"en","primary_location":{"id":"doi:10.1109/iotsms62296.2024.10710209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iotsms62296.2024.10710209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th International Conference on Internet of Things: Systems, Management and Security (IOTSMS)","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/A5043613528","display_name":"Alessandro Cerioli","orcid":null},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Alessandro Cerioli","raw_affiliation_strings":["Technical University of Denmark,Kongens Lyngby,Denmark"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark,Kongens Lyngby,Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087077768","display_name":"Riccardo Miccini","orcid":"https://orcid.org/0000-0002-0421-6170"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Riccardo Miccini","raw_affiliation_strings":["Technical University of Denmark,Kongens Lyngby,Denmark"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark,Kongens Lyngby,Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102957401","display_name":"Cl\u00e9ment Laroche","orcid":"https://orcid.org/0000-0003-1753-1898"},"institutions":[{"id":"https://openalex.org/I4210155671","display_name":"GN Store Nord (Denmark)","ror":"https://ror.org/04ck29617","country_code":"DK","type":"company","lineage":["https://openalex.org/I4210155671"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Cl\u00e9ment Laroche","raw_affiliation_strings":["GN Audio,Ballerup,Denmark"],"affiliations":[{"raw_affiliation_string":"GN Audio,Ballerup,Denmark","institution_ids":["https://openalex.org/I4210155671"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018887201","display_name":"Tobias Piechowiak","orcid":"https://orcid.org/0000-0002-6446-5208"},"institutions":[{"id":"https://openalex.org/I4210155671","display_name":"GN Store Nord (Denmark)","ror":"https://ror.org/04ck29617","country_code":"DK","type":"company","lineage":["https://openalex.org/I4210155671"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Tobias Piechowiak","raw_affiliation_strings":["GN Audio,Ballerup,Denmark"],"affiliations":[{"raw_affiliation_string":"GN Audio,Ballerup,Denmark","institution_ids":["https://openalex.org/I4210155671"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033388505","display_name":"Luca Pezzarossa","orcid":"https://orcid.org/0000-0002-0863-2526"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Luca Pezzarossa","raw_affiliation_strings":["Technical University of Denmark,Kongens Lyngby,Denmark"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark,Kongens Lyngby,Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055051850","display_name":"Jens Spars\u00f8","orcid":"https://orcid.org/0000-0002-0961-9438"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Jens Spars\u00f8","raw_affiliation_strings":["Technical University of Denmark,Kongens Lyngby,Denmark"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark,Kongens Lyngby,Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083205602","display_name":"Martin Schoeberl","orcid":"https://orcid.org/0000-0003-2366-382X"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Martin Schoeberl","raw_affiliation_strings":["Technical University of Denmark,Kongens Lyngby,Denmark"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark,Kongens Lyngby,Denmark","institution_ids":["https://openalex.org/I96673099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5043613528"],"corresponding_institution_ids":["https://openalex.org/I96673099"],"apc_list":null,"apc_paid":null,"fwci":0.5248,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66634286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"161","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/front-and-back-ends","display_name":"Front and back ends","score":0.7331492900848389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.688144326210022},{"id":"https://openalex.org/keywords/front","display_name":"Front (military)","score":0.5266340374946594},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5104724168777466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27994614839553833},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19223114848136902},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1332240104675293}],"concepts":[{"id":"https://openalex.org/C53016008","wikidata":"https://www.wikidata.org/wiki/Q620167","display_name":"Front and back ends","level":2,"score":0.7331492900848389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.688144326210022},{"id":"https://openalex.org/C2777551076","wikidata":"https://www.wikidata.org/wiki/Q842332","display_name":"Front (military)","level":2,"score":0.5266340374946594},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5104724168777466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27994614839553833},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19223114848136902},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1332240104675293},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iotsms62296.2024.10710209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iotsms62296.2024.10710209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th International Conference on Internet of Things: Systems, Management and Security (IOTSMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2186615578","https://openalex.org/W2194775991","https://openalex.org/W2346804249","https://openalex.org/W2406293284","https://openalex.org/W2805566098","https://openalex.org/W2907463061","https://openalex.org/W2963122961","https://openalex.org/W2965759310","https://openalex.org/W3004659153","https://openalex.org/W3039835063","https://openalex.org/W3098220359","https://openalex.org/W3158216587","https://openalex.org/W4283273271","https://openalex.org/W4287639545","https://openalex.org/W4289308614","https://openalex.org/W4295312788","https://openalex.org/W4312817580","https://openalex.org/W4383751021","https://openalex.org/W4385610105","https://openalex.org/W6686509673","https://openalex.org/W6751349269","https://openalex.org/W6766978945","https://openalex.org/W6779923432","https://openalex.org/W6781739890","https://openalex.org/W6784225549"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2074777875","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"This":[0],"study":[1],"presents":[2],"the":[3,19,32,45,60,138,155],"development":[4],"of":[5,12,34,62,82,114],"NeuralCasting,":[6],"a":[7,48,80,109,118,178],"front-end":[8],"compiler":[9,157],"framework":[10,86],"capable":[11],"converting":[13],"(casting)":[14],"neural":[15,35],"networks":[16,36],"encoded":[17],"in":[18],"ONNX":[20,54,147,172],"format":[21],"to":[22,30,79,181],"optimized":[23,160],"C":[24,41,63,161],"code.":[25],"The":[26,85],"primary":[27],"objective":[28],"is":[29],"enable":[31],"compilation":[33],"depending":[37],"only":[38],"on":[39,193],"standard":[40],"libraries,":[42],"thus":[43],"eliminating":[44],"need":[46],"for":[47,67,121,128,168,184,191],"separate":[49],"inference":[50],"engine,":[51],"such":[52,90,145],"as":[53,91,146],"runtime.":[55],"Furthermore,":[56],"this":[57],"feature":[58],"allows":[59],"generation":[61],"code":[64,162],"suitable":[65,190],"both":[66],"bare":[68],"metal":[69],"embedded":[70],"devices":[71],"and":[72,124,131,136,149,174,176],"other":[73,141],"resource-constrained":[74],"devices,":[75],"extending":[76],"model":[77],"applicability":[78],"plethora":[81],"hardware":[83],"targets.":[84],"addresses":[87],"critical":[88],"applications":[89],"real-time":[92,165],"audio":[93],"processing,":[94],"especially":[95],"regarding":[96],"latency":[97],"constraints.":[98],"As":[99],"an":[100,125],"example":[101],"use":[102],"case,":[103],"we":[104],"compile":[105],"three":[106],"different":[107],"models:":[108],"Multi-Layer":[110],"Perceptron":[111],"(MLP)":[112],"composed":[113],"fully":[115],"connected":[116],"layers,":[117],"ResNet":[119],"cell":[120],"image":[122],"recognition,":[123],"NSNet":[126],"2":[127],"speech":[129],"enhancement":[130],"noise":[132],"suppression.":[133],"We":[134],"analyze":[135],"compare":[137],"performance":[139],"with":[140],"widely":[142],"used":[143],"frameworks,":[144],"Runtime":[148,173],"PyTorch.":[150],"Our":[151],"findings":[152],"indicate":[153],"that":[154,163],"developed":[156],"successfully":[158],"generates":[159],"meets":[164],"processing":[166],"requirements":[167],"latency-sensitive":[169],"applications,":[170],"outperforming":[171],"PyTorch":[175],"reaching":[177],"speedup":[179],"close":[180],"$\\mathbf{x}":[182],"10$":[183],"small-sized":[185],"MLP":[186],"models,":[187],"which":[188],"are":[189],"deployment":[192],"edge":[194],"devices.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}