What are the advantages of parallel computing over distributed computing?
Parallel computing allows for faster processing by using multiple processors in a single machine, while distributed computing spreads tasks across multiple machines.
Can you give me some specific examples of tasks that benefit from parallel computing?
Sure! Tasks like image processing, simulations, and scientific computations often benefit from parallel computing due to their need for high processing power.
What about the scalability of both methods?
Distributed computing is generally more scalable since you can add more machines to the network, while parallel computing is limited by the number of processors in a single system.
Are there any downsides to using parallel computing?
Yes, parallel computing can be more complex to program and may face issues like resource contention and communication overhead.
Which method is more cost-effective for large-scale applications?
It depends on the application. Distributed computing can be more cost-effective for large-scale applications due to the ability to use cheaper, commodity hardware.
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