Scalable Multi-core Architectures (eBook, PDF)

Design Methodologies and Tools
Redaktion: Soudris, Dimitrios; Jantsch, Axel

• Format: PDF

Produktbeschreibung

As Moore's law continues to unfold, two important trends have recently emerged. First, the growth of chip capacity is translated into a corresponding increase of number of cores. Second, the parallelization of the computation and 3D integration technologies lead to distributed memory architectures. This book describes recent research that addresses urgent challenges in many-core architectures and application mapping. It addresses the architectural design of many core chips, memory and data management, power management, design and programming methodologies. It also describes how new techniques have been applied in various industrial case studies.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 223
• Erscheinungstermin: 17. Oktober 2011
• Englisch
• ISBN-13: 9781441967787
• Artikelnr.: 37357646

Inhaltsangabe

Part I: HS/SW/ Building Blocks: Architecture, Methods, and Techniques.- 1. Memory Architecture and Management in an NoC Platform.- 2. Application-Specific Multi-Threaded Dynamic Memory Management.- 3. Power Management Architecture in McNoC.- 4. ASIP Exploration and Design.- Part II: System-level Exploration.- 5. System Exploration.- 6. MPA: Parallelization Made Easy.- Part III: Industrial Applications.- 7. MPSoC Architecture Performance Analysis for Agile SDR Radio Applications.- 8. Application of the MOSART Flow on the WiMAX (802.16e) PHY.

Rezensionen

From the reviews:

"This book presents to the general public the most important results from the Mapping Optimization for Scalable Multi-core Architecture (MOSART) research project, which was carried out between 2008 and 2010 (three years). It is quite brief and organized into three parts. ... this book is well organized and balanced. Each chapter is self-explanatory and can be studied separately. The book as a whole is a good demonstration of engineering. It deserves to be recommended to professionals and research students in the area." (D. Grigoras, ACM Computing Reviews, June, 2012)