👉 Also computing, or multi-computing, refers to the practice of utilizing multiple computing resources—such as CPUs, GPUs, or specialized hardware—to execute tasks in parallel, significantly enhancing computational efficiency and performance. This approach is particularly beneficial for complex, data-intensive applications like machine learning, scientific simulations, and large-scale data processing, where tasks can be divided into smaller, independent operations that run concurrently on different processors. By distributing the workload across multiple units, also computing reduces overall execution time and improves resource utilization, making it a cornerstone of modern high-performance computing environments.
