GPU computing, or graphics processing unit computing, refers to the use of GPUs to perform computational tasks traditionally handled by the CPU. GPUs are designed to handle complex graphics rendering tasks, but their parallel processing capabilities make them highly efficient for a wide range of general-purpose computing tasks. GPU computing is particularly well-suited for tasks that can be parallelized, such as scientific simulations, machine learning algorithms, and data processing. By offloading these tasks to the GPU, researchers can see significant speedups in performance compared to traditional CPU-based computing. Overall, GPU computing has become an increasingly popular research area due to the potential for accelerated processing speeds and the ability to handle large-scale computations more efficiently.