Graphics Card as a Cheap Supercomputer

Jan Prikryl
Institute of Information Theory and Automation, Pod Vodarenskou vezi 2, CZ-18200 Praha 8, Czech Republic
Programs and Algorithms of Numerical Mathematics 16, 2013



   author={Chleboun, J and Segeth, K and {v{S}}{i}stek, J and Vejchodsk{`y}, T},

   journal={Programs and Algorithms of Numerical Mathematics 16},




The current powerful graphics cards, providing stunning real-time visual effects for computer-based entertainment, have to accommodate powerful hardware components that are able to deliver the photo-realistic simulation to the end-user. Given the vast computing power of the graphics hardware, its producers very often offer a programming interface that makes it possible to use the computational resources of the graphics processors (GPU) to more general purposes. This step gave birth to the so-called GPGPU (general-purpose GPU) processors that – if programmed correctly – are able to achieve astonishing performance in floating point operations. In this paper we will briefly overview nVidia CUDA technology and we will demonstrate a process of developing a simple GPGPU application both in the native GPGPU style and in the add-ons for Matlab (Jacket and Parallel Toolbox).
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