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Embedded Computing for High Performance - Efficient Mapping of Computations Using Customization, Code Transformations and Compilation (Paperback)
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Embedded Computing for High Performance - Efficient Mapping of Computations Using Customization, Code Transformations and Compilation (Paperback)
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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.
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