Difference between Parallel Computing and Distributed Computing

Parallel Computing:
In parallel computing multiple processors performs multiple tasks assigned to them simultaneously. Memory in parallel systems can either be shared or distributed. Parallel computing provides concurrency and saves time and money.

Distributed Computing:
In distributed computing we have multiple autonomous computers which seems to the user as single system. In distributed systems there is no shared memory and computers communicate with each other through message passing. In distributed computing a single task is divided among different computers.

Difference between Parallel Computing and Distributed Computing:

S.NO Parallel Computing Distributed Computing
1. Many operations are performed simultaneously System components are located at different locations
2. Single computer is required Uses multiple computers
3. Multiple processors perform multiple operations Multiple computers perform multiple operations
4. It may have shared or distributed memory It have only distributed memory
5. Processors communicate with each other through bus Computer communicate with each other through message passing.
6. Improves the system performance Improves system scalability, fault tolerance and resource sharing capabilities

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