👉 Distributed Memory Computing (DMC), also known as distributed computing, is a paradigm where multiple interconnected computers or nodes work together to solve complex computational problems. Each node in the network operates independently, holding its own memory and processing power, which allows for parallel processing of large datasets or tasks. Data is distributed across these nodes, enabling efficient handling of problems that are too large for a single machine to manage alone. Communication between nodes is facilitated through message passing protocols, where nodes exchange information or results as needed to achieve the overall computational goal. This approach is particularly useful in fields like scientific research, big data analytics, and machine learning, where the volume of data and complexity of tasks often exceed the capabilities of traditional computing architectures.
