Dynamic Memory Management for Embedded Systems, Hardcover by Alonso, David At...

$ 33.61

width: 6.1 in ISBN: 9783319105710 Publisher: Springer International Publishing A&G Item Width: 6.1 in Language: English Number of Pages: Xiii, 243 Pages Subject: Programming / General, Systems Architecture / General, Electronics / Circuits / General, Electronics / General Subject Area: Computers, Technology & Engineering Format: Hardcover Item Length: 9.3 in Item Weight: 181.6 Oz Book Title: Dynamic Memory Management for Embedded Systems Type: Textbook Publication Name: Dynamic Memory Management for Embedded Systems Publication Year: 2014 Author: Stylianos Mamagkakis, David Atienza Alonso, Miguel Peón-Quirós, Christophe Poucet, Alexandros Bartzas

Description

Dynamic Memory Management for Embedded Systems, Hardcover by Alonso, David At.... Dynamic Memory Management for Embedded Systems, Hardcover by Alonso, David Atienza; Mamagkakis, Stylianos; Poucet, Christophe; Peon-Quirós, Miguel; Bartzas, Alexandros, ISBN 331910571X, ISBN-13 9783319105710, Like New Used, Free shipping in the US This book provides a systematic and unified methodology, including basic principles and reusable processes, for dynamic memory management (DMM) in embedded systems. The authors describe in detail how to design and optimize the use of dynamic memory in modern, multimedia and network applications, targeting the latest generation of portable embedded systems, such as smartphones. Coverage includes a variety of design and optimization topics in electronic design automation of DMM, from high-level software optimization to microarchitecture-level hardware support. The authors describe the design of multi-layer dynamic data structures for the final memory hierarchy layers of the target portable embedded systems and how to create a low-fragmentation, cost-efficient, dynamic memory management subsystem out of configurable components for the particular memory allocation and de-allocation patterns for each type of application. The design methodology described in this book is based on propagating constraints among design decisions from multiple abstraction levels (both hardware and software) and customizing DMM according to application-specific data access and storage behaviors.