{"id":"https://openalex.org/W4385583910","doi":"https://doi.org/10.1145/3611015","title":"An Approach to the Systematic Characterization of Multitask Accelerated CNN Inference in Edge MPSoCs","display_name":"An Approach to the Systematic Characterization of Multitask Accelerated CNN Inference in Edge MPSoCs","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385583910","doi":"https://doi.org/10.1145/3611015"},"language":"en","primary_location":{"id":"doi:10.1145/3611015","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3611015","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3611015","source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3611015","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088628660","display_name":"Alessandro Cilardo","orcid":"https://orcid.org/0000-0002-1685-8736"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Cilardo","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0002-1685-8736","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077095261","display_name":"Vincenzo Maisto","orcid":"https://orcid.org/0000-0002-1631-1597"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vincenzo Maisto","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0002-1631-1597","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045567395","display_name":"Nicola Mazzocca","orcid":"https://orcid.org/0000-0002-0401-9687"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Mazzocca","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0002-0401-9687","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044768714","display_name":"Franca Rocco di Torrepadula","orcid":"https://orcid.org/0000-0003-4099-5244"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Franca Rocco Di Torrepadula","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0003-4099-5244","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":0.2425,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5227498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"23","issue":"3","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9976000189781189,"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":0.9976000189781189,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9972000122070312,"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/T11005","display_name":"Radiation Effects in Electronics","score":0.9958000183105469,"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/inference","display_name":"Inference","score":0.703644335269928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5978935956954956},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5648555159568787},{"id":"https://openalex.org/keywords/characterization","display_name":"Characterization (materials science)","score":0.5400996208190918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35239309072494507},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08662620186805725},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.07123291492462158}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.703644335269928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5978935956954956},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5648555159568787},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.5400996208190918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35239309072494507},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08662620186805725},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.07123291492462158}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3611015","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3611015","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3611015","source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3611015","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3611015","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3611015","source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2484832597","display_name":null,"funder_award_id":"2014-2020","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G7650586444","display_name":null,"funder_award_id":"PRIN-2017","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"}],"funders":[{"id":"https://openalex.org/F4320321873","display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","ror":"https://ror.org/0166hxq48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385583910.pdf","grobid_xml":"https://content.openalex.org/works/W4385583910.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1724438581","https://openalex.org/W1821462560","https://openalex.org/W2194775991","https://openalex.org/W2285660444","https://openalex.org/W2289252105","https://openalex.org/W2565125333","https://openalex.org/W2588448445","https://openalex.org/W2612445135","https://openalex.org/W2754084392","https://openalex.org/W2783538964","https://openalex.org/W2886014761","https://openalex.org/W2907463061","https://openalex.org/W2914219486","https://openalex.org/W2953212265","https://openalex.org/W2965571038","https://openalex.org/W2997006708","https://openalex.org/W2997106510","https://openalex.org/W2999803881","https://openalex.org/W3017135385","https://openalex.org/W3034368386","https://openalex.org/W3088552745","https://openalex.org/W3097806840","https://openalex.org/W3101026687","https://openalex.org/W3138154797","https://openalex.org/W3205956402","https://openalex.org/W3215120999","https://openalex.org/W4200195825","https://openalex.org/W4297775537","https://openalex.org/W6638523607"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W3107994849","https://openalex.org/W4247143848","https://openalex.org/W2009883749","https://openalex.org/W2735573198","https://openalex.org/W2390279801","https://openalex.org/W29442446","https://openalex.org/W2358668433","https://openalex.org/W4396701345"],"abstract_inverted_index":{"Deep":[0,63,99,125],"Learning":[1,64,100,126],"is":[2,6],"ubiquitous":[3],"today":[4],"and":[5,38,89,138,166,194],"increasingly":[7],"moving":[8],"from":[9],"the":[10,14,31,40,79,94,108,142,176,183,188,191,195,200,205,208],"cloud":[11,45],"down":[12],"to":[13,24,30,141],"edge":[15,103,130],"of":[16,97,122,169,182,190,199,207],"networked":[17],"infrastructures,":[18],"where":[19,71],"it":[20,140],"enables":[21],"embedded":[22],"applications":[23,70],"perform":[25],"complex":[26,69],"inference":[27,65,101],"tasks":[28],"close":[29],"data":[32,36],"sources,":[33],"reducing":[34],"long-distance":[35],"movement":[37],"alleviating":[39],"need":[41],"for":[42,62,68,93,129,144,163],"a":[43,90,111,119,123,134,170,179],"powerful":[44],"infrastructure.":[46],"Edge-class":[47],"multi-processor":[48],"system":[49],"on":[50,102,151],"chip":[51],"(MPSoC)":[52],"devices":[53],"featuring":[54],"an":[55,87],"on-chip":[56],"FPGA":[57,104],"fabric":[58],"offer":[59],"key":[60],"advantages":[61],"tasks,":[66],"especially":[67],"multiple":[72],"models":[73],"may":[74],"be":[75,161],"run":[76],"concurrently":[77],"in":[78],"same":[80],"platform.":[81],"In":[82],"this":[83],"work,":[84],"we":[85],"propose":[86],"approach":[88,159],"practical":[91],"framework":[92,109],"systematic":[95],"characterization":[96],"multithreaded":[98],"MPSoCs.":[105],"We":[106,132,155],"instantiate":[107],"into":[110],"real-world":[112],"MPSoC":[113],"platform,":[114],"targeting":[115],"Xilinx":[116],"Vitis-AI":[117],"as":[118],"representative":[120],"example":[121],"commercial":[124],"acceleration":[127],"toolkit":[128,185],"environments.":[131],"design":[133],"comprehensive":[135],"experimental":[136],"campaign":[137],"apply":[139],"platform":[143],"several":[145],"convolutional":[146],"neural":[147],"networks,":[148],"each":[149],"trained":[150],"three":[152],"different":[153],"datasets.":[154],"show":[156],"that":[157],"our":[158],"can":[160],"used":[162],"both":[164],"hardware-":[165],"software-level":[167],"analysis":[168,177],"target":[171],"system.":[172],"Among":[173],"other":[174],"findings,":[175],"revealed":[178],"suboptimal":[180],"behavior":[181],"underlying":[184],"runtime,":[186],"involving":[187],"utilization":[189],"accelerator":[192],"cores":[193],"uneven":[196],"software":[197],"latency":[198],"support":[201],"library,":[202],"influenced":[203],"by":[204],"shapes":[206],"input":[209],"tensors.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}