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A Design Tool for High Performance Image Processing on Multicore Platforms

Published

Author(s)

Timothy J. Blattner, Jiahao Wu, Walid Keyrouz, Shuvra S. Bhattacharyya

Abstract

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 Title
Proceedings of the Design, Automation and Test in Europe
Conference Dates
March 19-23, 2018
Conference Location
Dresden

Keywords

image processing, task graph, multicore

Citation

Blattner, T. , Wu, J. , Keyrouz, W. and Bhattacharyya, S. (2018), A Design Tool for High Performance Image Processing on Multicore Platforms, Proceedings of the Design, Automation and Test in Europe, Dresden, -1 (Accessed June 12, 2024)

Issues

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Created March 23, 2018, Updated September 18, 2018