Bøger af Muhammad Shafique

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, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing;Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization;Describes real applications todemonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.

Specifically, one part of the book focuses on maximizing/optimizing computational performance under power or thermal constraints, while another part focuses on minimizing energy consumption under performance (or real-time) constraints.

Providing the means to implement energy-efficient video systems by using different optimization approaches at multiple abstraction levels, this book evaluates the complete video system to optimize its components in synergy, increase throughput-per-watt, and address reliability issues, and providing algorithmic and architectural enhancements.

Readers will learn how to achieve increased soft error resilience on unreliable hardware, while exploiting the inherent error masking characteristics and error (stemming from soft errors, aging, and process variations) mitigations potential at different software layers.

This book shows how to develop energy-efficient algorithms and hardware architectures to allow high-definition 3D video coding on resource-constrained embedded devices. Includes an introduction to 3D video, state-of-the-art 3D video coding techniques and more.

Basing its systems on dynamically reconfigurable processors, this book will help systems designers adhere to the constraints of performance and area. It presents a number of techniques for reducing energy consumption in adaptive embedded multimedia systems.