{"id":"https://openalex.org/W4390693268","doi":"https://doi.org/10.1109/icecs58634.2023.10382797","title":"Optimizing Data Availability and Utilization in Deep Learning Accelerator SoCs","display_name":"Optimizing Data Availability and Utilization in Deep Learning Accelerator SoCs","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4390693268","doi":"https://doi.org/10.1109/icecs58634.2023.10382797"},"language":"en","primary_location":{"id":"doi:10.1109/icecs58634.2023.10382797","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icecs58634.2023.10382797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","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/A5093697228","display_name":"Cagla Irmak Rumelili K\u00f6ksal","orcid":null},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Cagla Irmak Rumelili Koksal","raw_affiliation_strings":["Aselsan Inc.,Ankara,Turkiye","Aselsan Inc., Ankara, Turkiye"],"affiliations":[{"raw_affiliation_string":"Aselsan Inc.,Ankara,Turkiye","institution_ids":["https://openalex.org/I56303344"]},{"raw_affiliation_string":"Aselsan Inc., Ankara, Turkiye","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045818407","display_name":"Nihat Mert Cicek","orcid":null},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Nihat Mert Cicek","raw_affiliation_strings":["Aselsan Inc.,Ankara,Turkiye","Aselsan Inc., Ankara, Turkiye"],"affiliations":[{"raw_affiliation_string":"Aselsan Inc.,Ankara,Turkiye","institution_ids":["https://openalex.org/I56303344"]},{"raw_affiliation_string":"Aselsan Inc., Ankara, Turkiye","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046440258","display_name":"Ayse Yilmazer Metin","orcid":null},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ayse Yilmazer Metin","raw_affiliation_strings":["Istanbul Technical University,Istanbul,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Istanbul Technical University,Istanbul,T&#x00FC;rkiye","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003233119","display_name":"Berna \u00d6rs","orcid":"https://orcid.org/0000-0003-0851-8501"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Berna Ors","raw_affiliation_strings":["Istanbul Technical University,Istanbul,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Istanbul Technical University,Istanbul,T&#x00FC;rkiye","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5093697228"],"corresponding_institution_ids":["https://openalex.org/I56303344"],"apc_list":null,"apc_paid":null,"fwci":0.2468,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55842203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/instruction-prefetch","display_name":"Instruction prefetch","score":0.9099469184875488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8414422273635864},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.7062501907348633},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.638379693031311},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.6176908016204834},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5795140266418457},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5634281635284424},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5468229651451111},{"id":"https://openalex.org/keywords/control-reconfiguration","display_name":"Control reconfiguration","score":0.5325863361358643},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.52376788854599},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4406735301017761},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.42119234800338745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13564759492874146}],"concepts":[{"id":"https://openalex.org/C133588205","wikidata":"https://www.wikidata.org/wiki/Q28455645","display_name":"Instruction prefetch","level":3,"score":0.9099469184875488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8414422273635864},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.7062501907348633},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.638379693031311},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.6176908016204834},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5795140266418457},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5634281635284424},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5468229651451111},{"id":"https://openalex.org/C119701452","wikidata":"https://www.wikidata.org/wiki/Q5165881","display_name":"Control reconfiguration","level":2,"score":0.5325863361358643},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.52376788854599},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4406735301017761},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.42119234800338745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13564759492874146},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icecs58634.2023.10382797","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icecs58634.2023.10382797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","raw_type":"proceedings-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/66888","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/66888","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W957890233","https://openalex.org/W1999085092","https://openalex.org/W2194775991","https://openalex.org/W2945146780","https://openalex.org/W2979393958","https://openalex.org/W3089673885","https://openalex.org/W3115853802","https://openalex.org/W3195430069","https://openalex.org/W4236084225","https://openalex.org/W4244668938","https://openalex.org/W4285207478","https://openalex.org/W4381573143"],"related_works":["https://openalex.org/W2140324148","https://openalex.org/W2121199344","https://openalex.org/W2285914869","https://openalex.org/W3117515082","https://openalex.org/W2113441357","https://openalex.org/W2167639078","https://openalex.org/W2379283503","https://openalex.org/W2141676084","https://openalex.org/W2927951560","https://openalex.org/W2462146500"],"abstract_inverted_index":{"Deep":[0],"learning":[1,50,145],"accelerators":[2],"are":[3],"pivotal":[4],"in":[5,9,103,130,142],"accelerating":[6],"computation-intensive":[7],"tasks":[8],"modern":[10],"AI":[11],"applications.":[12,147],"Optimizing":[13],"the":[14,57,107,113,120,131],"utilization":[15],"of":[16,123],"system":[17,44,115],"resources,":[18],"including":[19,96],"shared":[20],"cache,":[21,134],"on-chip":[22],"SRAM,":[23],"and":[24,34,71,78,100,127,139],"data":[25,90],"movement":[26],"mechanisms,":[27],"is":[28],"crucial":[29],"for":[30,48,106],"achieving":[31],"superior":[32],"performance":[33,138],"energy":[35,79,104,140],"efficiency.":[36,80],"In":[37],"this":[38],"study,":[39],"we":[40,92],"propose":[41],"an":[42],"efficient":[43],"architecture":[45,53],"specifically":[46],"tailored":[47],"deep":[49,144],"workloads.":[51],"Our":[52],"enables":[54],"to":[55,85,112,136],"reconfigure":[56],"last":[58,132],"level":[59,133],"cache":[60,69],"as":[61],"a":[62,83,97],"scratchpad":[63,128],"with":[64,89],"prefetch":[65,125],"capability,":[66],"which":[67],"eliminates":[68],"misses":[70],"thereby":[72],"offers":[73],"resource":[74],"efficiency,":[75],"improved":[76],"performance,":[77],"By":[81],"implementing":[82],"strategy":[84],"overlap":[86],"accelerator":[87,146],"execution":[88],"movement,":[91],"achieved":[93],"remarkable":[94],"results,":[95],"$14\\times$":[98],"speedup":[99],"%5":[101],"reduction":[102],"consumption":[105],"ResNet50":[108],"benchmark":[109],"when":[110],"compared":[111],"base":[114],"configuration.":[116],"These":[117],"findings":[118],"demonstrate":[119],"substantial":[121],"benefits":[122],"incorporating":[124],"support":[126],"reconfiguration":[129],"leading":[135],"enhanced":[137],"efficiency":[141],"real-world":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
