Abstract
In this article, we have given an overview of hardware and traditional optimization techniques for the GPU. We have furthermore given a step-by-step guide to profile driven development, in which bottlenecks and possible solutions are outlined. The focus is on state-of-the-art hardware with accompanying tools, and we have addressed the most prominent bottlenecks: memory, arithmetics, and latencies.
