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Embedded Systems,

Edition 2 ARM Programming and Optimization

Editors: By Jason D. Bakos

Publication Date: 19 Feb 2024

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Embedded Systems: ARM Programming and Optimization, Second Edition combines an exploration of the ARM architecture with an examination of the facilities offered by the Linux operating system to explain how various features of program design can influence processor performance. The book demonstrates methods by which a programmer can optimize program code in a way that does not impact its behavior but instead improves its performance. Several applications, including image transformations, fractal generation, image convolution, computer vision tasks, and now machine learning are used to describe and demonstrate these methods. From this, the reader will gain insight into computer architecture and application design, as well as practical knowledge in embedded software design for modern embedded systems. The second edition has been expanded to include more topics of interest to upper level undergraduate courses in embedded systems.

Key Features

Covers three ARM instruction set architectures, the ARMv6 and ARMv7-A, as well as three ARM cores, the ARM11 on the Raspberry Pi, Cortex-A9 on the Xilinx Zynq 7020, and Cortex-A15 on the NVIDIA Tegra K1
Describes how to fully leverage the facilities offered by the Linux operating system, including the Linux GCC compiler toolchain and debug tools, performance monitoring support, OpenMP multicore runtime environment, video frame buffer, and video capture capabilities
Designed to accompany and work with most low-cost Linux/ARM embedded development boards currently available
Expanded to include coverage of topics such as bus architectures, low-power programming, and sensor interfacing
Includes practical application areas such as machine learning

About the author

By Jason D. Bakos, Associate Professor of Computer Science and Engineering, University of South Carolina, Columbia, SC, United States of America

1. The Linux/ARM embedded platform Chapter
2. Multicore and data-level optimization: OpenMP and SIMD Chapter
3. Arithmetic optimization and the Linux Framebuffer Chapter
4. Memory optimization and video processing Chapter
5. Embedded heterogeneous programming with OpenCL

Appendix
A. Adding PMU support to Raspbian for the Generation 1 Raspberry Pi
B. NEON intrinsic reference
C. OpenCL reference Index

ISBN: 9780128225752

Page Count: 320

Retail Price :

9780128053874; 9780128094488; 9780124080829

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Exercise Solutions

Students in an embedded systems design course (roughly 11, 000 students per year according to Navstem. Professional programmers needing to understand embedded development