Explain the difference between shared memory and distributed memory parallel computing architectures?

Shared memory and distributed memory parallel computing architectures are two different approaches to parallel computing. In shared memory parallel computing, multiple processors or cores share a common memory space, while in distributed memory parallel computing, each processor or core has its own memory space and communicates with other processors or cores through a network. Shared memory parallel computing architectures are often used in symmetric multiprocessing (SMP) systems and multi-core processors. In a shared memory parallel computing architecture, all the processors or cores can access any part of the memory, making it easy to share data between the processors or cores. This allows for the execution of multiple threads or processes that can access and modify the same data in the shared memory. The shared memory model provides a simple and e....