Computer Architecture Questions
The main difference between multiprocessors and cluster computers lies in their architecture and organization.
Multiprocessors, also known as parallel computers, are systems that have multiple processors or central processing units (CPUs) working together in a single machine. These processors share a common memory and are tightly interconnected, allowing them to communicate and coordinate their tasks efficiently. Multiprocessors are designed to handle parallel processing, where multiple tasks or instructions are executed simultaneously, improving overall performance and speed.
On the other hand, cluster computers are a collection of individual computers or nodes that are connected together through a network. Each node in a cluster operates independently and has its own memory and processing power. These nodes work together to solve a common problem or perform a specific task by dividing the workload among themselves. Cluster computers are designed for distributed computing, where tasks are divided and executed across multiple nodes, enabling scalability and fault tolerance.
In summary, the key difference is that multiprocessors have multiple processors working together in a single machine with shared memory, while cluster computers consist of individual computers connected through a network, each with its own memory and processing power.