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What is the difference between distributed and parallel computing?
Wiki User
∙ 15y ago
In the most simple form = Parallel Computing is a method where several individual (autonomous) systems (CPU's) work in tandem to resolve a common computing workload.
Distributed Computing is where several dis-associated systems are working seperatly to resolve a multi-faceted computing workload.
An example of Parallel computing would be two servers that share the workload of routing mail, managing connections to an accounting system or database, solving a mathematical problem, ect...
Distributed Computing would be more like the SETI Program, where each client works a separate "chunk" of information, and returns the completed package to a centralized resource that's responsible for managing the overall workload.
If you think of ten men pulling on a rope to lift a load, that is parallel computing. If ten men have ten ropes and are lifting ten different loads from one place to consolidate at another place, that would be distributed computing.
In Parallel Computing all processors have access to a shared memory. In distributed computing, each processor has its own private memory
Wiki User
∙ 12y ago
Wiki User
∙ 15y agomain goal of distributed computing is to connect users and resources in a transparant, open and scalable way.
main goal of parallel computing is to speed up.
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What is the difference between parallel computing and distributing computing? In the most simple form = Parallel Computing is a method where several individual (autonomous) systems (CPU's) work in tandem to resolve a common computing workload. Distributed Computing is where several dis-associated systems are working seperatly to resolve a multi-faceted computing workload. An example of Parallel computing would be two servers that share the workload of routing mail, managing connections to an accounting system or database, solving a mathematical problem, ect... Distributed Computing would be more like the SETI Program, where each client works a seperate "chunk" of information, and returns the completed package to a centralized resource that's responsible for managing the overall workload. If you think of ten men pulling on a rope to lift a load, that is parallel computing. If ten men have ten ropes and are lifting ten different loads from one place to consolidate at another place, that would be distributed computing.
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