A Design Tool for High Performance Image Processing on Multicore Platforms
Timothy J. Blattner, Jiahao Wu, Walid Keyrouz, Shuvra S. Bhattacharyya
Design and implementation of smart vision systems often involve the mapping of complex image processing algorithms into efficient, real-time implementations on multicore platforms. In this paper, we describe a novel design tool that is developed to address this important challenge. A key component of the tool is a new approach to hierarchical dataflow scheduling that integrates a global scheduler and multiple local schedulers. The local schedulers are lightweight modules that work independently. The global scheduler interacts with the local schedulers to optimize overall memory usage and execution time. The proposed design tool is demonstrated through a case study involving an image stitching application for large scale microscopy images.
Proceedings of the Design, Automation and Test in Europe
, Wu, J.
, Keyrouz, W.
and Bhattacharyya, S.
A Design Tool for High Performance Image Processing on Multicore Platforms, Proceedings of the Design, Automation and Test in Europe, Dresden, -1
(Accessed December 11, 2023)