GPU acceleration is a technique that uses graphics processing units (GPUs) to speed up the computation of complex tasks in a wide range of fields such as scientific computing, artificial intelligence, and image processing. GPUs are massively parallel processors that can handle multiple tasks simultaneously, making them well-suited for tasks that require a high level of parallelism. By offloading computations to the GPU, researchers can significantly reduce the time it takes to process large amounts of data and increase the overall performance of their applications. This has led to a wide adoption of GPU acceleration in various research areas to improve efficiency and speed up computations.