Skip to main content

Save up to 30% on Elsevier print and eBooks with free shipping. No promo code needed.

Save up to 30% on print and eBooks.

Embedded Computing for High Performance

Efficient Mapping of Computations Using Customization, Code Transformations and Compilation

  • 1st Edition - June 13, 2017
  • Authors: João Manuel Paiva Cardoso, José Gabriel de Figueiredo Coutinho, Pedro C. Diniz
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 1 2 - 8 0 4 1 8 9 - 5
  • eBook ISBN:
    9 7 8 - 0 - 1 2 - 8 0 4 1 9 9 - 4

Embedded Computing for High Performance: Design Exploration and Customization Using High-level Compilation and Synthesis Tools provides a set of real-life example implement… Read more

Embedded Computing for High Performance

Purchase options

LIMITED OFFER

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code is needed.

Institutional subscription on ScienceDirect

Request a sales quote

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.