👉 Along computing, also known as distributed or parallel computing, is a paradigm that involves dividing computational tasks across multiple processors or computing nodes to enhance performance and efficiency. This approach leverages the collective power of interconnected systems, such as clusters or supercomputers, to solve complex problems faster than a single machine could handle alone. By distributing data and processing tasks, along computing can significantly reduce execution time, improve resource utilization, and enable the handling of large-scale computations that would otherwise be infeasible. This method is widely used in scientific research, data analytics, machine learning, and other fields requiring intensive computational resources.
