👉 Aggregate computing refers to the practice of combining multiple computational resources, such as CPUs, GPUs, or specialized hardware like FPGAs, to work together on a single task or set of tasks. This approach allows for the distribution of workloads, which can significantly enhance processing power, speed, and efficiency beyond what a single resource could achieve alone. By leveraging the strengths of different types of processors, aggregate computing optimizes performance for various applications, from data analytics and machine learning to scientific simulations and high-performance computing. This method is particularly useful in scenarios where tasks require substantial computational resources or when dealing with large datasets, enabling more effective and cost-efficient solutions.
