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Embedded Computing for High Performance

Embedded Computing for High Performance

Efficient Mapping of Computations Using Customization, Code Transformations and Compilation

by Joao Manuel Paiva CardosoPedro C. Diniz and Jose Gabriel de Figueiredo Coutinho
Paperback
Publication Date: 01/06/2017

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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.
ISBN:
9780128041895
9780128041895
Category:
Embedded systems
Format:
Paperback
Publication Date:
01-06-2017
Publisher:
Elsevier Science & Technology
Country of origin:
United States
Pages:
320
Dimensions (mm):
235x191mm
Weight:
0.59kg

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