The goal of this tutorial is to explain the background and all necessary steps that are required to implement a simple linear algebra operator on the GPU: saxpy() as known from the BLAS library. For two vectors x and y of length N and a scalar value alpha, we want to compute a scaled vector-vector addition: y = y+alpha∗x. The saxpy() operation requires almost no background in linear algebra, and serves well to illustrate all entry-level GPGPU concepts. The techniques and implementation details introduced in this tutorial can easily be extended to more complex calculations on GPUs.
This tutorial is based on OpenGL, simply because the target platform should not be limited to MS Windows. Most concepts explained here however translate directly to DirectX. This tutorial is not intended to explain every single detail from scratch. It is written for programmers with a basic understanding of OpenGL, its state machine concept and the way OpenGL models the graphics pipeline. For a good overview and pointers to reading material, please refer to the GPGPU community web page 1 .Updates of this tutorial are available on my homepage.
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