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Dynamic Memory Management for Embedded Systems (Hardcover, 2015 ed.): David Atienza Alonso, Stylianos Mamagkakis, Christophe... Dynamic Memory Management for Embedded Systems (Hardcover, 2015 ed.)
David Atienza Alonso, Stylianos Mamagkakis, Christophe Poucet, Miguel Peon Quiros, Alexandros Bartzas, …
R3,209 R1,892 Discovery Miles 18 920 Save R1,317 (41%) Ships in 12 - 17 working days

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.

VLSI-SoC: Forward-Looking Trends in IC and Systems Design - 18th IFIP WG 10.5/IEEE International Conference on Very Large Scale... VLSI-SoC: Forward-Looking Trends in IC and Systems Design - 18th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2010, Madrid, Spain, September 27-29, 2010, Revised Selected Papers (Hardcover, 2012)
Jose L. Ayala, David Atienza Alonso, Ricardo Reis
R1,521 Discovery Miles 15 210 Ships in 10 - 15 working days

This book contains extended and revised versions of the best papers presented at the 18th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2010, held in Madrid, Spain, in September 2010. The 14 papers included in the book were carefully reviewed and selected from the 52 full papers presented at the conference. The papers cover a wide variety of excellence in VLSI technology and advanced research. They address the current trend toward increasing chip integration and technology process advancements bringing about stimulating new challenges both at the physical and system-design levels, as well as in the test of theses systems.

Dynamic Memory Management for Embedded Systems (Paperback, Softcover reprint of the original 1st ed. 2015): David Atienza... Dynamic Memory Management for Embedded Systems (Paperback, Softcover reprint of the original 1st ed. 2015)
David Atienza Alonso, Stylianos Mamagkakis, Christophe Poucet, Miguel Peon Quiros, Alexandros Bartzas, …
R2,163 Discovery Miles 21 630 Ships in 10 - 15 working days

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.

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