Embedded Computing for High Performance is popular PDF and ePub book, written by João Manuel Paiva Cardoso in 2017-06-13, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Embedded Computing for High Performance can be Read Online from any device for your convenience.
Embedded Computing for High Performance Book PDF Summary
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
Detail Book of Embedded Computing for High Performance PDF
- Author : João Manuel Paiva Cardoso
- Release : 13 June 2017
- Publisher : Morgan Kaufmann
- ISBN : 9780128041994
- Genre : Computers
- Total Page : 322 pages
- Language : English
- PDF File Size : 14,5 Mb
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