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Embedded Computing for High Performance

Efficient Mapping of Computations Using Customization, Code Transformations and Compilation

Autor: Jo?o Cardoso, José Gabriel F. Coutinho, Pedro C. Diniz

Jazyk:

Väzba: Brožovaná

Vydavateľ: Elsevier Science & Technology

Dostupnosť: U vydavateľa na objednávku

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Embedded Computing for High Performance: Design Exploration and Customization using High-level Compi...

Informácie o knihe

Autor

Jo?o Cardoso, José Gabriel F. Coutinho, Pedro C. Diniz

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2017

Stránok

320

EAN

9780128041895

ISBN

0128041897

Enbook ID

14530580

Vydavateľ

Elsevier Science & Technology

Hmotnosť

664

Rozmery

234 x 192 x 18

Kompletný popis

Embedded Computing for High Performance: Design Exploration and Customization using High-level Compilation and Synthesis Tools provides a set of real-life example implementations that migrate traditional desktop systems to embedded systems. Working with popular hardware, including Xilinx and ARM, the book offers a comprehensive description of techniques for mapping computations expressed in programming languages such as C or MATLAB to high-performance embedded architectures consisting of multiple CPUs, GPUs, and reconfigurable hardware (FPGAs). The authors demonstrate a domain-specific language (LARA) that facilitates retargeting to multiple computing systems using the same source code. In this way, users can decouple original application code from transformed code and enhance productivity and program portability. After reading this book, engineers will understand the processes, methodologies, and best practices needed for the development of applications for high-performance embedded computing systems. Focuses on maximizing performance while managing energy consumption in embedded systemsExplains how to retarget code for heterogeneous systems with GPUs and FPGAsDemonstrates a domain-specific language that facilitates migrating and retargeting existing applications to modern systemsIncludes downloadable slides, tools, and tutorials

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Embedded Computing for High Performance

Efficient Mapping of Computations Using Customization, Code Transformations and Compilation

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