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
Computer engineers and computer scientists as well as electrical engineers working on embedded, parallel, or FPGA systems; students in these areas
- High Performance Embedded Computing
- Controlling the Design and Development Cycle
- Source Code Analysis and Instrumentation
- Source Code Transformations and Optimizations
- Compiler Optimizations
- Code Retargeting
- Advanced Topics
- No. of pages:
- © Morgan Kaufmann 2017
- 15th June 2017
- Morgan Kaufmann
- eBook ISBN:
- Paperback ISBN: