{"title":"神经形态系统全方位协同设计的经验教训","authors":"C. Schuman, J. Plank, G. Rose, Maryam Parsa","doi":"10.1109/IMFEDK56875.2022.9975370","DOIUrl":null,"url":null,"abstract":"Neuromorphic computing is a broad, interdisciplinary field that spans across all levels of the compute stack, from applications and algorithms to devices and materials. When designing a new computing system from the ground up, co-design is key. Here, we discuss different types of co-design for neuromorphic systems, and we advocate specifically for omnidirectional co-design. Finally, we discuss recommendations for performing omnidirectional co-design, based on our own experience in the realm of neuromorphic computing.","PeriodicalId":162017,"journal":{"name":"2022 IEEE International Meeting for Future of Electron Devices, Kansai (IMFEDK)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Lessons Learned in Omnidirectional Co-Design of Neuromorphic Systems\",\"authors\":\"C. Schuman, J. Plank, G. Rose, Maryam Parsa\",\"doi\":\"10.1109/IMFEDK56875.2022.9975370\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Neuromorphic computing is a broad, interdisciplinary field that spans across all levels of the compute stack, from applications and algorithms to devices and materials. When designing a new computing system from the ground up, co-design is key. Here, we discuss different types of co-design for neuromorphic systems, and we advocate specifically for omnidirectional co-design. Finally, we discuss recommendations for performing omnidirectional co-design, based on our own experience in the realm of neuromorphic computing.\",\"PeriodicalId\":162017,\"journal\":{\"name\":\"2022 IEEE International Meeting for Future of Electron Devices, Kansai (IMFEDK)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Meeting for Future of Electron Devices, Kansai (IMFEDK)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMFEDK56875.2022.9975370\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Meeting for Future of Electron Devices, Kansai (IMFEDK)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMFEDK56875.2022.9975370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Lessons Learned in Omnidirectional Co-Design of Neuromorphic Systems
Neuromorphic computing is a broad, interdisciplinary field that spans across all levels of the compute stack, from applications and algorithms to devices and materials. When designing a new computing system from the ground up, co-design is key. Here, we discuss different types of co-design for neuromorphic systems, and we advocate specifically for omnidirectional co-design. Finally, we discuss recommendations for performing omnidirectional co-design, based on our own experience in the realm of neuromorphic computing.