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Abstract
In recent years the more and more powerful GPU's available on the PC market have attracted
attention as a cost effective solution for parallel (SIMD) computing. CUDA is a solid
evidence of the attention that the major companies are devoting to the field. CUDA
is a hardware and software architecture developed by Nvidia for computing on the GPU.
It qualifies as a friendly alternative to the approach to GPU computing that has been
pioneered in the OpenGL environment. We discuss the application of both the CUDA and
the OpenGL approach to the simulation of 2-d spin systems (XY model).