A key technology enabling fast-paced embedded media processing developments is the high-performance, low-power, small-footprint convergent processor, a specialized device that combines the real-time control of a traditional microcontroller with the signal processing power of a DSP. This practical guide is your one-stop shop for understanding how to implement this cutting-edge technology. You will learn how to:
- Choose the proper processor for an application.
- Architect your system to avoid problems at the outset.
- Manage your data flows and memory accesses so that they line up properly
- Make smart-trade-offs in portable applications between power considerations and computational performance.
- Divide processing tasks across multiple cores.
- Program frameworks that optimize performance without needlessly increasing programming model complexity.
- Implement benchmarking techniques that will help you adapt a framework to best fit a target application, and much more!
Covering the entire spectrum of EMP-related design issues, from easy-to-understand explanations of basic architecture and direct memory access (DMA), to in-depth discussions of code optimization and power management, this practical book will be an invaluable aid to every engineer working with EMP, from the beginner to the seasoned expert.
- Comprehensive subject coverage with emphasis on practical application
- Essential assembly language code included throughout text
- Many real-world examples using Analog's popular Blackfin Processor architecture
Rick Gentile joined ADI in 2000 as a Senior DSP Applications Engineer, and he currently leads the Processor Applications Group, which is responsible for Blackfin, SHARC and TigerSHARC processors. Prior to joining ADI, Rick was a Member of the Technical Staff at MIT Lincoln Laboratory, where he designed several signal processors used in a wide range of radar sensors. He has authored dozens of articles and presented at multiple technical conferences. He received a B.S. in 1987 from the University of Massachusetts at Amherst and an M.S. in 1994 from Northeastern University, both in Electrical and Computer Engineering.