Kategoria BISAC: Computers >> Embedded Computer Systems

This book provides readers a comprehensive introduction to alternative number systems for more efficient representations of Deep Neural Network (DNN) data. Various number systems (conventional/unconventional) exploited for DNNs are discussed, including Floating Point (FP), Fixed Point (FXP), Logarithmic Number System (LNS), Residue Number System (RNS), Block Floating Point Number System (BFP), Dynamic Fixed-Point Number System (DFXP) and Posit Number System (PNS). The authors explore the impact of these number systems on the performance and hardware design of DNNs, highlighting...

This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms,...

Every computing system has only two attributes: Data Value and Data timing from the system external behavior point of view. This book is to development the automotive ECU by focusing on those two attributes.

This book explains and focuses on analysis of electric circuits using an up-to-date software package. The book is filled with examples that students will see throughout a standard electric circuit course. This book is a good source to accompany and complete theoretical work of professors. The author provides a single-source for anyone who needs to analyse an electric circuit.