0389501 20240103202219.620130221235959.9 6 s. P cav_un_epca*0389500978-80-85823-62-2162-167PragueInstitute of Mathematics, Academy of Sciences of the Czech Republic2013ChlebounJ.SegethK.ŠístekJ.VejchodskýT. GPU graphics card Matlab Jacket CUDA cav_un_auth*0205734 Přikryl Jan Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2013/AS/prikryl-graphics card as a cheap supercomputer.pdf TA01030603 GA TA ČR cav_un_auth*0272526 MEB091015 GA MŠk CZ cav_un_auth*0263551 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). cav_un_auth*0289320 Programy a algoritmy numerické matematiky /16./ 03.06.2012-08.06.2012 Dolní Maxov CZ 2013 JC 1 PR http://hdl.handle.net/11104/0218410 2013 cav_un_epca*0389500 Programs and Algorithms of Numerical Matematics 16 978-80-85823-62-2 162 167 Prague Institute of Mathematics, Academy of Sciences of the Czech Republic 2013 Chleboun J. 340 Segeth K. 340 Šístek J. 340 Vejchodský T. 340