Code: 14530580

Embedded Computing for High Performance

Name: Embedded Computing for High Performance
Brand: Elsevier Science & Technology
SKU: 14530580
Price: 329.61 PLN
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by Jo?o Cardoso, José Gabriel F. Coutinho, Pedro C. Diniz

Language: English
Binding: Paperback
Number of pages: 320
Publisher: Elsevier Science & Technology, 2017
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Book synopsis

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

Book details

Book category Books in English Computing & information technology Computer hardware Embedded systems

329.61 zł

Full title: Embedded Computing for High Performance
Subtitle: Efficient Mapping of Computations Using Customization, Code Transformations and Compilation
Author: Jo?o Cardoso, José Gabriel F. Coutinho, Pedro C. Diniz
Language: English
Binding: Paperback
Number of pages: 320
EAN: 9780128041895
ISBN: 0128041897
ID: 14530580
Publisher: Elsevier Science & Technology
Weight: 664 g
Dimensions: 192 × 234 × 18 mm
Date of publishing: 15. June 2017