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A Guide to Using GPUs for General Signal Processing

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If you have a question about this talk, please contact Taylan Cemgil.

The theoretical processing power of a consumer-grade graphics processing unit (GPU) now present on mid-range graphics cards is truly staggering. With even the lowest spec nVidia GeForce 8-series cards having a theoretical performance of over 340 GFlop/sec it is worth investing in the time required to learn how to leverage the computing power of these processors in applications beyond computer graphics.

This talk will cover the modern graphics processing pipeline along with tips and techniques on how it may be ‘tricked’ into performing useful computation. The talk will cover the actual code required to implement a simple image processing example capable of dealing with full HD resolution video streams in real-time.

This talk is part of the Signal Processing and Communications Lab Seminars series.

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