0342300 20240111140739.120100423235959.9 2 s. www cav_un_epca*0342299978-1-4244-6610-8125-126ViennaInstitute of Electrical and Electronics Engineers2010 convolution CUDA SIMD HW implementation cav_un_auth*0202597 Mazanec Tomáš Zpracování signálů Department of Signal Processing ZS ZS UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101105 Heřmánek Antonín Zpracování signálů Department of Signal Processing ZS ZS UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0213251 Kamenický Jan Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. pdf http://library.utia.cas.cz/separaty/2010/ZS/mazanec-blind image deconvolution algorithm on nvidia cuda platform.pdf 7H09005 GA MŠk cav_un_auth*0253180 CEZ:AV0Z10750506 Advanced image processing algorithms usually require high computing performance. Today's personal computers (PCs) offer satisfying resources for implementation of image processing tasks. However, as the image processing techniques are becoming more and more complex other implementation possibilities have to be searched. Since image processing algorithms usually comply with the Single Instruction Multiple Data (SIMD) model, implementation efforts using such hardware resources are suitable. An example of the SIMD hardware component available nowadays is the graphics processor (GPU) embedded in modern graphics cards manufactured for PCs. In this paper, the implementation of a blind image deconvolution algorithm using graphics processor as the SIMD computing resource is presented. The resulting performance is compared to the performance achieved on a common general-purpose processor (CPU). cav_un_auth*0261515 The 13th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems Vienna 14.04.2010-16.04.2010 AT 2011 JC http://hdl.handle.net/11104/0185066 2010 pdf cav_un_epca*0342299 Proceedings of the 13th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems 978-1-4244-6610-8 125 126 Proceedings of the 13th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems Vienna Institute of Electrical and Electronics Engineers 2010