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Anotace knihy

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. 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 K1Describes 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 capabilitiesDesigned to accompany and work with most low-cost Linux/ARM embedded development boards currently availableExpanded to include coverage of topics such as bus architectures, low-power programming, and sensor interfacingIncludes practical application areas such as machine learning

Parametry knihy

Zařazení knihy Knihy v angličtině Technology, engineering, agriculture Electronics & communications engineering Electronics engineering

• Plný název: Embedded Systems
• Podnázev: ARM Programming and Optimization
• Autor: Jason D. Bakos
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 320
• EAN: 9780128225752
• ISBN: 0128225750
• ID: 44262631
• Nakladatelství: Elsevier Science & Technology
• Hmotnost: 450 g
• Rozměry: 235 × 191 mm
• Datum vydání: 15. February 2024

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