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Embedded Computing for High Performance
Efficient Mapping of Computations Using Customization, Code Transformations and Compilation
Explores the best practices needed to develop high performance embedded applications, including real-life example implementations
João Manuel Paiva Cardoso (Author), José Gabriel de Figueiredo Coutinho (Author), Pedro C. Diniz (Author)
9780128041895, Elsevier Science
Paperback, published 15 June 2017
320 pages
23.4 x 19 x 2.1 cm, 0.59 kg
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.
1. Introduction2. High Performance Embedded Computing3. Controlling the Design and Development Cycle4. Source Code Analysis and Instrumentation5. Source Code Transformations and Optimizations6. Compiler Optimizations7. Code Retargeting8. Advanced Topics
Subject Areas: Distributed systems [UTR], Grid & parallel computing [UKG], Microprocessors [TJFD1]
