{"id":"https://openalex.org/W4283716045","doi":"https://doi.org/10.1007/s11265-022-01784-1","title":"Increased Leverage of Transprecision Computing for Machine Vision Applications at the Edge","display_name":"Increased Leverage of Transprecision Computing for Machine Vision Applications at the Edge","publication_year":2022,"publication_date":"2022-06-30","ids":{"openalex":"https://openalex.org/W4283716045","doi":"https://doi.org/10.1007/s11265-022-01784-1"},"language":"en","primary_location":{"id":"doi:10.1007/s11265-022-01784-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11265-022-01784-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11265-022-01784-1.pdf","source":{"id":"https://openalex.org/S11258463","display_name":"Journal of Signal Processing Systems","issn_l":"1939-8018","issn":["1939-8018","1939-8115"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Signal Processing Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11265-022-01784-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021983289","display_name":"Umar Ibrahim Minhas","orcid":"https://orcid.org/0000-0001-9702-3070"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Umar Ibrahim Minhas","raw_affiliation_strings":["Queen\u2019s University Belfast, Belfast, Northern Ireland","Queen's University Belfast, Belfast, Northern Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen\u2019s University Belfast, Belfast, Northern Ireland","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"Queen's University Belfast, Belfast, Northern Ireland","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078925783","display_name":"Junkyu Lee","orcid":"https://orcid.org/0000-0003-1985-5116"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"JunKyu Lee","raw_affiliation_strings":["Queen\u2019s University Belfast, Belfast, Northern Ireland","Queen's University Belfast, Belfast, Northern Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen\u2019s University Belfast, Belfast, Northern Ireland","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"Queen's University Belfast, Belfast, Northern Ireland","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056162490","display_name":"Lev Mukhanov","orcid":"https://orcid.org/0000-0002-0119-4359"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lev Mukhanov","raw_affiliation_strings":["Queen\u2019s University Belfast, Belfast, Northern Ireland","Queen's University Belfast, Belfast, Northern Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen\u2019s University Belfast, Belfast, Northern Ireland","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"Queen's University Belfast, Belfast, Northern Ireland","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077501734","display_name":"Georgios Karakonstantis","orcid":"https://orcid.org/0000-0002-5693-8503"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Georgios Karakonstantis","raw_affiliation_strings":["Queen\u2019s University Belfast, Belfast, Northern Ireland","Queen's University Belfast, Belfast, Northern Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen\u2019s University Belfast, Belfast, Northern Ireland","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"Queen's University Belfast, Belfast, Northern Ireland","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086758775","display_name":"Hans Vandierendonck","orcid":"https://orcid.org/0000-0001-5868-9259"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hans Vandierendonck","raw_affiliation_strings":["Queen\u2019s University Belfast, Belfast, Northern Ireland","Queen's University Belfast, Belfast, Northern Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen\u2019s University Belfast, Belfast, Northern Ireland","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"Queen's University Belfast, Belfast, Northern Ireland","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043910265","display_name":"Roger Woods","orcid":"https://orcid.org/0000-0001-6201-4270"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Roger Woods","raw_affiliation_strings":["Queen\u2019s University Belfast, Belfast, Northern Ireland","Queen's University Belfast, Belfast, Northern Ireland"],"raw_orcid":"https://orcid.org/0000-0001-6201-4270","affiliations":[{"raw_affiliation_string":"Queen\u2019s University Belfast, Belfast, Northern Ireland","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"Queen's University Belfast, Belfast, Northern Ireland","institution_ids":["https://openalex.org/I126231945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5043910265"],"corresponding_institution_ids":["https://openalex.org/I126231945"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":0.2936,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51688489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"94","issue":"10","first_page":"1101","last_page":"1118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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":0.9987000226974487,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9950000047683716,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9944000244140625,"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/computer-science","display_name":"Computer science","score":0.8487180471420288},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7206041216850281},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.562446653842926},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5518971085548401},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5345693230628967},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.49499934911727905},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.45548194646835327},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.4259503185749054},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42410963773727417},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.423765629529953},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.41858386993408203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41316473484039307},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3558352589607239},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3513908386230469},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.34640419483184814},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.17991098761558533},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.14392918348312378}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8487180471420288},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7206041216850281},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.562446653842926},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5518971085548401},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5345693230628967},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.49499934911727905},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.45548194646835327},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.4259503185749054},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42410963773727417},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.423765629529953},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.41858386993408203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41316473484039307},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3558352589607239},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3513908386230469},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.34640419483184814},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.17991098761558533},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14392918348312378},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11265-022-01784-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11265-022-01784-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11265-022-01784-1.pdf","source":{"id":"https://openalex.org/S11258463","display_name":"Journal of Signal Processing Systems","issn_l":"1939-8018","issn":["1939-8018","1939-8115"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Signal Processing Systems","raw_type":"journal-article"},{"id":"pmh:oai:pure.qub.ac.uk/portal:openaire/c40add58-b41d-41ab-8498-2b7d3f24eaf2","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/c40add58-b41d-41ab-8498-2b7d3f24eaf2","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Minhas, U I, Lee, J, Mukhanov, L, Karakonstantis, G, Vandierendonck, H & Woods, R 2022, 'Increased leverage of transprecision computing for machine vision applications at the edge', Journal of Signal Processing Systems, vol. 94, no. 10, pp. 1101-1118. https://doi.org/10.1007/s11265-022-01784-1","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s11265-022-01784-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11265-022-01784-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11265-022-01784-1.pdf","source":{"id":"https://openalex.org/S11258463","display_name":"Journal of Signal Processing Systems","issn_l":"1939-8018","issn":["1939-8018","1939-8115"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Signal Processing Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5698611806","display_name":null,"funder_award_id":"CHIST-ERA-18-SDCDN-00","funder_id":"https://openalex.org/F4320338463","funder_display_name":"CHIST-ERA"},{"id":"https://openalex.org/G725167099","display_name":null,"funder_award_id":"EP/T022345/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7752907213","display_name":"DiPET: Distributed Stream Processing on Fog and Edge Systems via Transprecise Computing","funder_award_id":"EP/T022345/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320338463","display_name":"CHIST-ERA","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283716045.pdf","grobid_xml":"https://content.openalex.org/works/W4283716045.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W2018667656","https://openalex.org/W2024214021","https://openalex.org/W2081368694","https://openalex.org/W2084732345","https://openalex.org/W2097117768","https://openalex.org/W2100218206","https://openalex.org/W2109946919","https://openalex.org/W2146311717","https://openalex.org/W2202949802","https://openalex.org/W2267244539","https://openalex.org/W2286365479","https://openalex.org/W2529546376","https://openalex.org/W2549139847","https://openalex.org/W2553303224","https://openalex.org/W2554302513","https://openalex.org/W2557728737","https://openalex.org/W2806318734","https://openalex.org/W2883433640","https://openalex.org/W2886851211","https://openalex.org/W2896006880","https://openalex.org/W2897268228","https://openalex.org/W2913980322","https://openalex.org/W2931743911","https://openalex.org/W2946948417","https://openalex.org/W2962677625","https://openalex.org/W2962883027","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2963821229","https://openalex.org/W2963918968","https://openalex.org/W2967733054","https://openalex.org/W2990920110","https://openalex.org/W2998429528","https://openalex.org/W3033979988","https://openalex.org/W3034971973","https://openalex.org/W3088284726","https://openalex.org/W3172720379","https://openalex.org/W3175549063","https://openalex.org/W3212188443","https://openalex.org/W4255017701","https://openalex.org/W6617368339","https://openalex.org/W6687785706","https://openalex.org/W6757036269"],"related_works":["https://openalex.org/W2120447654","https://openalex.org/W2977179488","https://openalex.org/W2144453115","https://openalex.org/W2744553356","https://openalex.org/W2128223750","https://openalex.org/W4238532390","https://openalex.org/W2188872161","https://openalex.org/W2961779879","https://openalex.org/W2142466746","https://openalex.org/W2134736911"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"practical":[2],"deployment":[3],"of":[4,47,89,97,114,125,143,197],"machine":[5],"vision":[6],"presents":[7],"particular":[8],"challenges":[9],"for":[10,30,84,129,194],"resource":[11,53],"constrained":[12],"edge":[13],"devices.":[14],"With":[15],"a":[16,28,31,69,104,112,118,148],"clear":[17],"need":[18,29],"to":[19,176,203],"execute":[20],"multiple":[21],"tasks":[22],"with":[23,166],"variable":[24],"workloads,":[25],"there":[26],"is":[27,74],"robust":[32],"approach":[33,57],"that":[34,58,80,109,116,147],"can":[35,42,161],"dynamically":[36],"adapt":[37],"at":[38,170],"runtime":[39,61],"and":[40,64,93,95,136],"which":[41,201],"maintain":[43],"the":[44,51,60,82,98,123,126,130,179,185,198,205],"maximum":[45],"quality":[46],"service":[48],"(QoS)":[49],"within":[50],"available":[52],"constraints.":[54,138],"A":[55],"lightweight":[56],"monitors":[59],"workload":[62],"constraints":[63],"leverages":[65],"accuracy-throughput":[66],"trade-offs":[67],"on":[68,164],"graphics":[70],"processing":[71,159,191],"unit":[72],"(GPU),":[73],"presented.":[75],"It":[76],"includes":[77],"optimisation":[78],"techniques":[79],"identify":[81],"configurations":[83],"each":[85],"task":[86],"in":[87],"terms":[88],"optimal":[90,127],"accuracy,":[91],"energy":[92,137],"memory":[94,135],"management":[96],"transparent":[99],"switching":[100,180],"between":[101,181],"configurations.":[102],"Using":[103],"neural":[105],"network":[106],"architecture":[107],"search":[108],"statically":[110],"generates":[111],"range":[113],"implementations":[115],"target":[117],"resource-precision":[119],"trade-off,":[120],"we":[121,145,183],"explore":[122],"detection":[124],"parameters":[128],"required":[131],"QoS":[132],"under":[133],"specific":[134],"For":[139],"an":[140],"accuracy":[141],"loss":[142],"1%,":[144],"demonstrate":[146],"$$1.6\\times$$":[149],"<mml:math":[150],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[151],"<mml:mrow>":[152],"<mml:mn>1.6</mml:mn>":[153],"<mml:mo>\u00d7</mml:mo>":[154],"</mml:mrow>":[155],"</mml:math>":[156],"higher":[157],"frame":[158,206],"rate":[160,207],"be":[162],"achieved":[163],"GPU":[165],"further":[167,171,177,209],"improvements":[168],"possible":[169],"relaxed":[172],"accuracy.":[173],"In":[174],"order":[175],"improve":[178,204],"configurations,":[182],"enhance":[184],"proposed":[186],"mechanism":[187],"by":[188,208],"employing":[189],"central":[190],"units":[192],"(CPUs)":[193],"offloading":[195],"some":[196],"executed":[199],"frames,":[200],"helps":[202],"0.9%.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}