Multidimensional DSP with GPU acceleration: Difference between revisions

Revision as of 23:09, 1 November 2015

Revision as of 23:12, 1 November 2015

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==== Adopting Supercomputers ====

In order to accelerate multidimensional DSP computations, using dedicated [[Supercomputer|supercomputers]] or [[Computer cluster|cluster computers]] is required in some situations, e.g., [[weather forecasting]]. However, using super computerssupercomputers designated to simply perform DSP operations takes considerable cost and energy consumption. It is not suitable for all multidimensional DSP applications.

==== GPU Acceleration ====

[[Graphics processing unit|GPUs]] are originally designed to accelerate image processing and video rendering. Moreover, since modern GPUs' have good ability to perform numeric computations in parallel with a relatively low cost and better energy efficiency, GPUs are becoming a popular alternative-approach to replace supercomputers performing multidimensional DSP.

== Approaches ==