Performance tuning of imaging applications through pattern-based code transformation

R. S. Sangwan; Robert S. Ludwig; Phillip A. Laplante; Colin J. Neill

doi:10.1117/12.583554

25 February 2005 Performance tuning of imaging applications through pattern-based code transformation

R. S. Sangwan, Robert S. Ludwig, Phillip A. Laplante, Colin J. Neill

Proceedings Volume 5671, Real-Time Imaging IX; (2005) https://doi.org/10.1117/12.583554
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

The benefits of an object-oriented approach and pattern based design for complex software systems are well known. But most software engineers believe that these techniques have a run time performance cost that is too high for real-time imaging applications. Unfortunately, no usable data to support or disprove this contention exists. In this work we describe a set of experiments that challenge the conventional wisdom. We report on our results and we further introduce a strategy to thoroughly investigate the issues of run-time performance in any real-time imaging system.

Citation Download Citation

R. S. Sangwan, Robert S. Ludwig, Phillip A. Laplante, and Colin J. Neill "Performance tuning of imaging applications through pattern-based code transformation", Proc. SPIE 5671, Real-Time Imaging IX, (25 February 2005); https://doi.org/10.1117/12.583554

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