Embedded Computing for High Performance: Efficient Mapping of Computations Using Customization,Code Transformations and Compilation
Authors: João Manuel Paiva Cardoso – José Gabriel de Figueiredo Coutinho – Pedro C. Diniz
ISBN-10: 0128041897
ISBN-13: 9780128041895
Edition 版本: 1
Released: 2017-06-29
Print Length 页数: 320 pages
Book Description
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 systems
Explains how to retarget code for heterogeneous systems with GPUs and FPGAs
Demonstrates a domain-specific language that facilitates migrating and retargeting existing applications to modern systems
Includes downloadable slides,tools,and tutorials
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