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OverviewEmbedded 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. Full Product DetailsAuthor: Jason D. Bakos (Professor of Computer Science and Engineering, University of South Carolina, Columbia, SC, United States of America)Publisher: Elsevier Science & Technology Imprint: Morgan Kaufmann Publishers In Edition: 2nd edition Weight: 0.680kg ISBN: 9780128225752ISBN 10: 0128225750 Pages: 320 Publication Date: 08 February 2024 Audience: College/higher education , Undergraduate Format: Paperback Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of Contents1. 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 IndexReviewsAuthor InformationJason D. Bakos is a professor of Computer Science and Engineering at the University of South Carolina. He received a BS in Computer Science from Youngstown State University in 1999 and a PhD in Computer Science from the University of Pittsburgh in 2005. Dr. Bakos’s research focuses on mapping data- and compute-intensive codes to high-performance, heterogeneous, reconfigurable, and embedded computer systems. His group works closely with FPGA-based computer manufacturers Convey Computer Corporation, GiDEL, and Annapolis Micro Systems, as well as GPU and DSP manufacturers NVIDIA, Texas Instruments, and Advantech. Dr. Bakos holds two patents, has published over 30 refereed publications in computer architecture and high-performance computing, was a winner of the ACM/DAC student design contest in 2002 and 2004, and received the US National Science Foundation (NSF) CAREER award in 2009. He is currently serving as associate editor for ACM Transactions on Reconfigurable Technology and Systems. Tab Content 6Author Website:Countries AvailableAll regions |
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