A reconfigurable computing framework for multi-scale cellular image processing
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- 作者：Reid Porter ; Jan Frigo ; Al Conti ; Neal Harvey ; Garrett Kenyon ; Maya Gokhale
- 关键词：Field programmable gate array ; Reconfigurable computing ; Image processing ; Cellular automata ; Cellular nonlinear network
- 刊名：Microprocessors and Microsystems
- 出版年：2007
- 出版时间：3 December 2007
- 年：2007
- 卷：31
- 期：8
- 页码：546-563
- 全文大小：1238 K
文摘
Cellular computing architectures represent an important class of computation that are characterized by simple processing elements, local interconnect and massive parallelism. These architectures are a good match for many image and video processing applications and can be substantially accelerated with Reconfigurable Computers. We present a flexible software/hardware framework for design, implementation and automatic synthesis of cellular image processing algorithms. The system provides an extremely flexible set of parallel, pipelined and time-multiplexed components which can be tailored through reconfigurable hardware for particular applications. The most novel aspects of our framework include a highly pipelined architecture for multi-scale cellular image processing as well as support for several different pattern recognition applications. In this paper, we will describe the system in detail and present our performance assessments. The system achieved speed-up of at least 100× for computationally expensive sub-problems and 10× for end-to-end applications compared to software implementations.