Publikation
Stream Processing on GPUs Using Distributed Multimedia Middleware
Michael Repplinger; Philipp Slusallek
In: Proceedings of the 8th International Conference on Parallel Processing and Applied Mathematics - PPAM 2009 (to appear). International Conference on Parallel Processing and Applied Mathematics (PPAM-09), 8th, September 13-16, Wroclaw, Poland, 2009.
Zusammenfassung
Available GPUs provide increasingly more processing power especially for
multimedia and digital signal processing. Despite the tremendous progress in
hardware and thus processing power, there are and always will be applications
that require using multiple GPUs either running inside the same machine or
distributed in the network due to computational intensive processing algorithms.
Existing solutions for developing applications for GPUs still require a lot of
hand-optimization when using multiple GPUs inside the same machine and provide in
general no support for using remote GPUs distributed in the network. In this
paper we address this problem and show that an open distributed multimedia
middleware, like the Network-Integrated Multimedia Middleware (NMM), is able (1)
to seamlessly integrate processing components using GPUs while completely hiding
GPU specific issues from the application developer, (2) to transparently combine
processing components using GPUs or CPUs, and (3) to transparently use local and
remote GPUs for distributed processing.