👉 Die computing, or distributed computing, refers to the practice of dividing computational tasks across multiple interconnected computers or processors to solve complex problems more efficiently. Instead of relying on a single powerful machine, die computing leverages the combined resources of numerous devices, each potentially handling a fraction of the workload. This approach not only accelerates computation but also enhances reliability, as tasks can be distributed and recovered from multiple nodes if one fails. It is widely used in scenarios requiring massive data processing, such as weather forecasting, scientific simulations, and large-scale data analysis, where the combined power of many machines can significantly outperform a single high-end machine.