Process-Based Parallelism
Process-based parallelism is a concurrency model where multiple independent processes run simultaneously, each with its own memory space and resources, to execute tasks in parallel. It leverages operating system processes to achieve parallelism, often using inter-process communication (IPC) mechanisms like pipes, sockets, or shared memory for coordination. This approach is commonly used in distributed systems, high-performance computing, and applications requiring strong isolation between tasks.
Developers should learn process-based parallelism when building scalable applications that need to handle CPU-intensive tasks, such as scientific simulations, data processing, or web servers, as it allows for efficient utilization of multi-core processors. It is particularly useful in scenarios requiring fault tolerance and isolation, as processes are independent and can crash without affecting others, making it ideal for distributed environments and microservices architectures.