Performance tuning of imaging applications through pattern-based code transformation

R. Sangwan; R. Ludwig; P. A. Laplante; C. J. Neill

doi:10.1117/12.583554

Performance tuning of imaging applications through pattern-based code transformation

R. Sangwan, R. Ludwig, P. A. Laplante, C. J. Neill

Research output: Contribution to journal › Conference article › peer-review

7 Scopus citations

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.

Original language	English (US)
Article number	01
Pages (from-to)	1-7
Number of pages	7
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5671
DOIs	https://doi.org/10.1117/12.583554
State	Published - Jul 20 2005
Event	Proceedings of SPIE-IS and T Electronic Imaging - Real-Time Imaging IX - San Jose, CA, United States Duration: Jan 18 2005 → Jan 20 2005

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.583554

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AU - Ludwig, R.

AU - Laplante, P. A.

AU - Neill, C. J.

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Performance tuning of imaging applications through pattern-based code transformation

Abstract

All Science Journal Classification (ASJC) codes

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