03491nam 22006495 450 991073602960332120251009100834.09783031342370303134237210.1007/978-3-031-34237-0(MiAaPQ)EBC30668268(Au-PeEL)EBL30668268(DE-He213)978-3-031-34237-0(PPN)272257222(CKB)27867643500041(OCoLC)1392651859(EXLCZ)992786764350004120230727d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierOn-Chip Training NPU - Algorithm, Architecture and SoC Design /by Donghyeon Han, Hoi-Jun Yoo1st ed. 2023.Cham :Springer Nature Switzerland :Imprint: Springer,2023.1 online resource (249 pages)Engineering Series9783031342363 3031342364 Chapter 1 Introduction -- Chapter 2 A Theoretical Study on Artificial Intelligence Training -- Chapter 3 New Algorithm 1: Binary Direct Feedback Alignment for Fully-Connected layer -- Chapter 4 New Algorithm 2: Extension of Direct Feedback Alignment to Convolutional Recurrent Neural Network -- Chapter 5 DF-LNPU: A Pipelined Direct Feedback Alignment based Deep Neural Network Learning Processor for Fast Online Learning -- Chapter 6 HNPU-V1: An Adaptive DNN Training Processor Utilizing Stochastic Dynamic Fixed-point and Active Bit-precision Searching -- Chapter 7 HNPU-V2: An Energy-efficient DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation -- Chapter 8 An Overview of Energy-efficient DNN Training Processors -- Chapter 9 Conclusion.Unlike most available sources that focus on deep neural network (DNN) inference, this book provides readers with a single-source reference on the needs, requirements, and challenges involved with on-device, DNN training semiconductor and SoC design. The authors include coverage of the trends and history surrounding the development of on-device DNN training, as well as on-device training semiconductors and SoC design examples to facilitate understanding. Focuses on the requirements and challenges of on-device deep neural network (DNN) training, rather than DNN inference; Provides guidelines for on-device, DNN training semiconductor or System-on-Chip (SoC) design; Includes on-device training semiconductors and SoC design examples to facilitate understanding.Engineering SeriesElectronic circuitsEmbedded computer systemsMicroprocessorsComputer architectureElectronic Circuits and SystemsEmbedded SystemsProcessor ArchitecturesElectronic circuits.Embedded computer systems.Microprocessors.Computer architecture.Electronic Circuits and Systems.Embedded Systems.Processor Architectures.621.3815Han Donghyeon1380380Yoo Hoi-Jun1380381MiAaPQMiAaPQMiAaPQBOOK9910736029603321On-Chip Training NPU - Algorithm, Architecture and SoC Design3421645UNINA