Gpu
A few years ago all graphics hardware used a fixed pipeline. Where each vertex and triangle description was passed through pre-programmed components to generate the image on the screen.
Vertex, pixel and geometry shaders are often referred to as the Graphics Processing Unit (GPU).
Now video cards built with a programmable architecture. Now we can alter the way vertices and triangles are processed.
Programmable graphics cards are now in a growing research field.
We can apply non-graphical algorithms onto the GPU.
This along with image processing, numerical equations and illumination computation are some examples of what is called General Purpose GPU (GPGPU) programming.
Slide
We for this experiment we performed a computational study of dead reckoning comparing the GPU with the CPU. Using a variety of CPUs and GPUs to different quantities of simulated entities.
We wanted to see how the GPU’s slower bus restriction could affect its performance.
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