Kategoria BISAC: Computers >> Embedded Computer Systems

This book discusses the acceleration of deep reinforcement learning (DRL), which may be the next step in the burst success of artificial intelligence (AI). The authors address acceleration systems which enable DRL on area-limited & battery-limited mobile devices. Methods are described that enable DRL optimization at the algorithm-, architecture-, and circuit-levels of abstraction.

This is an introductory textbook for courses in Synchronous Digital Design that enables students to develop useful intuitions for all of the key concepts of digital design. The author focuses this tutorial on the design flow, which is introduced as an iterative cycle of Analysis, Improvement, Modeling, and Synthesis. All the basic elements of digital design are covered, starting with the CMOS transistor to provide an abstraction upon which everything else is built. The other main foundational concepts introduced are clocked synchronous register-transfer level design, datapath, finite...

This book describes recent findings in the domain of Boolean logic and Boolean algebra, covering application domains in circuit and system design, but also basic research in mathematics and theoretical computer science.  Content includes invited chapters and a selection of the best papers presented at the 15^th annual International Workshop on Boolean Problems.

This book provides an introduction to the key concepts of Fully Homomorphic Encryption (FHE)-based computing, and discusses the challenges associated with architecting FHE-based computing systems. Readers will see that due to FHE’s ability to compute on encrypted data, it is a promising solution to address privacy concerns arising from cloud-based services commonly used for a variety of applications including healthcare, financial, transportation, and weather forecasting. This book explains the fundamentals of the FHE operations and then presents an architectural analysis of the...

This book provides readers with the current state-of-the-art research and technology on quantum computing. The authors provide design paradigms of quantum computing. Topics covered include multi-programming mechanisms on near-term quantum computing, Lagrange interpolation approach for the general parameter-shift rule, architecture-aware decomposition of quantum circuits, software for massively parallel quantum computing, machine learning in quantum annealing processors, quantum annealing for real-world machine learning applications, queuing theory models for (Fault-Tolerant) quantum...