Modern computer hardware provides parallelism at various different levels–most obviously, multiple multicore processors allow many independent threads to execute at once. At a finer-grained level, each core contains a vector unit allowing multiple integer or floating point calculations to be performed with a single instruction. Additionally, GPU hardware is highly parallel and performs best when processing large numbers of independent threads. At the same time, tools such as CUDA have become steadily more abundant and mature, allowing more of this parallelism to be exploited.