Importance of balanced architectures in the design of high-performance imaging systems

Joseph A. Sgro; Paul C. Stanton

doi:10.1117/12.343797

26 March 1999 Importance of balanced architectures in the design of high-performance imaging systems

Joseph A. Sgro, Paul C. Stanton

Proceedings Volume 3645, Real-Time Imaging IV; (1999) https://doi.org/10.1117/12.343797
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

Imaging systems employed in demanding military and industrial applications, such as automatic target recognition and computer vision, typically require real-time high-performance computing resources. While high- performances computing systems have traditionally relied on proprietary architectures and custom components, recent advances in high performance general-purpose microprocessor technology have produced an abundance of low cost components suitable for use in high-performance computing systems. A common pitfall in the design of high performance imaging system, particularly systems employing scalable multiprocessor architectures, is the failure to balance computational and memory bandwidth. The performance of standard cluster designs, for example, in which several processors share a common memory bus, is typically constrained by memory bandwidth. The symptom characteristic of this problem is failure to the performance of the system to scale as more processors are added. The problem becomes exacerbated if I/O and memory functions share the same bus. The recent introduction of microprocessors with large internal caches and high performance external memory interfaces makes it practical to design high performance imaging system with balanced computational and memory bandwidth. Real word examples of such designs will be presented, along with a discussion of adapting algorithm design to best utilize available memory bandwidth.

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Joseph A. Sgro and Paul C. Stanton "Importance of balanced architectures in the design of high-performance imaging systems", Proc. SPIE 3645, Real-Time Imaging IV, (26 March 1999); https://doi.org/10.1117/12.343797

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KEYWORDS

Imaging systems

Computing systems

Image processing

Computer architecture

Data processing

Inspection

Sensors

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