Performance-Optimierung für zukünftige Hardware

Internally funded project


Start date : 01.06.2006


Project details

Scientific Abstract

To get high performance in numerical applications, characteristics of the executing platform have to be considered. The number of cores per CPU are likely to further increase, and heterogeneous, accelerated architectures to establish, but even reconfigurable units are possible. We therefore investigate and develop performance optimization techniques on modern and alternative hardware, like for instance multicore systems, GPGPUs, and other accelerator architectures.

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