Embedded Computing for High Performance

Efficient Mapping of Computations Using Customization, Code Transformations and Compilation

Nonfiction, Computers, Programming, Parallel Programming, Advanced Computing, Parallel Processing, General Computing
Cover of the book Embedded Computing for High Performance by João Manuel Paiva Cardoso, José Gabriel de Figueiredo Coutinho, Pedro C. Diniz, Elsevier Science
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Author: João Manuel Paiva Cardoso, José Gabriel de Figueiredo Coutinho, Pedro C. Diniz ISBN: 9780128041994
Publisher: Elsevier Science Publication: June 13, 2017
Imprint: Morgan Kaufmann Language: English
Author: João Manuel Paiva Cardoso, José Gabriel de Figueiredo Coutinho, Pedro C. Diniz
ISBN: 9780128041994
Publisher: Elsevier Science
Publication: June 13, 2017
Imprint: Morgan Kaufmann
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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