graphics processing unit (GPU) computing

GPU computing harnesses the power of Graphics Processing Units (GPUs) to perform complex calculations traditionally handled by the Central Processing Unit (CPU). Originally designed to render graphics in video games, GPUs consist of many smaller, efficient cores that can process multiple tasks simultaneously, making them ideal for parallel processing. This parallelism allows GPUs to accelerate workloads in various fields, such as scientific simulations, data analysis, and machine learning, enabling faster outcomes for large datasets. By offloading specific tasks to GPUs, systems can achieve higher performance and efficiency, significantly enhancing computational capabilities.