{"id":"https://openalex.org/W4315783727","doi":"https://doi.org/10.1109/mm.2022.3229244","title":"Special Issue on Cool Chips","display_name":"Special Issue on Cool Chips","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4315783727","doi":"https://doi.org/10.1109/mm.2022.3229244"},"language":"en","primary_location":{"id":"doi:10.1109/mm.2022.3229244","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/mm.2022.3229244","pdf_url":"https://ieeexplore.ieee.org/ielx7/40/10015900/10015905.pdf","source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Micro","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/40/10015900/10015905.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033954091","display_name":"Ryusuke Egawa","orcid":"https://orcid.org/0000-0001-8966-867X"},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryusuke Egawa","raw_affiliation_strings":["Tokyo Denki University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Denki University, Tokyo, Japan","institution_ids":["https://openalex.org/I165522056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101587301","display_name":"Yasutaka Wada","orcid":"https://orcid.org/0000-0002-5489-0964"},"institutions":[{"id":"https://openalex.org/I63030401","display_name":"Meisei University","ror":"https://ror.org/022yhjq53","country_code":"JP","type":"education","lineage":["https://openalex.org/I63030401"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasutaka Wada","raw_affiliation_strings":["Meisei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Meisei University, Tokyo, Japan","institution_ids":["https://openalex.org/I63030401"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033954091"],"corresponding_institution_ids":["https://openalex.org/I165522056"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00266301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"43","issue":"1","first_page":"40","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11429","display_name":"Semiconductor Lasers and Optical Devices","score":0.5838000178337097,"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/T11429","display_name":"Semiconductor Lasers and Optical Devices","score":0.5838000178337097,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.5475000143051147,"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"}},{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.524399995803833,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8628783226013184},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5607821941375732},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5270942449569702},{"id":"https://openalex.org/keywords/system-on-a-chip","display_name":"System on a chip","score":0.47918474674224854},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4509262442588806},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.44654396176338196},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.39690065383911133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14094948768615723},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1353347897529602}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8628783226013184},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5607821941375732},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5270942449569702},{"id":"https://openalex.org/C118021083","wikidata":"https://www.wikidata.org/wiki/Q610398","display_name":"System on a chip","level":2,"score":0.47918474674224854},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4509262442588806},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.44654396176338196},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.39690065383911133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14094948768615723},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1353347897529602}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mm.2022.3229244","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/mm.2022.3229244","pdf_url":"https://ieeexplore.ieee.org/ielx7/40/10015900/10015905.pdf","source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Micro","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/mm.2022.3229244","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/mm.2022.3229244","pdf_url":"https://ieeexplore.ieee.org/ielx7/40/10015900/10015905.pdf","source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Micro","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4315783727.pdf","grobid_xml":"https://content.openalex.org/works/W4315783727.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2502691491","https://openalex.org/W2115579119","https://openalex.org/W2017236304","https://openalex.org/W3142211975","https://openalex.org/W1879443270","https://openalex.org/W2018912978","https://openalex.org/W2119122672","https://openalex.org/W2130914040","https://openalex.org/W2136848245","https://openalex.org/W1978899622"],"abstract_inverted_index":{"This":[0],"special":[1],"issue":[2],"of":[3,15,50],"IEEE":[4],"Micro":[5],"captures":[6],"two":[7,20],"contributions":[8],"from":[9],"among":[10],"the":[11,53],"12":[12],"regular":[13],"presentations":[14],"Cool":[16,57],"Chips":[17,58],"25.":[18,59],"The":[19],"articles":[21],"are":[22,52],"focused":[23],"on":[24],"a":[25],"system-on-":[26],"chip":[27],"(SoC)":[28],"with":[29],"ternary":[30],"neural":[31,35],"network":[32,36],"(TNN)/temporal":[33],"convolutional":[34],"(TCN)":[37],"accelerator,":[38],"and":[39],"body":[40],"bias":[41],"optimization":[42],"for":[43],"coarse-grained":[44],"reconfigurable":[45],"architectures":[46],"(CGRAs),":[47],"respectively.":[48],"All":[49],"them":[51],"emerging":[54],"topics":[55],"at":[56]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
