GPUs have established an alternative to get high performance in a cheap and power-efficient way for a variety of scientific applications. We present optimization techniques for geometric multigrid methods, evaluate their benefit on recent GPGPUs, show how they relate to optimization techniques on other platforms and compare their performance.