When should I use parallelism instead of distributed systems?
Parallelism is best for tasks that can be executed simultaneously on a single machine, while distributed systems are ideal for tasks that require multiple machines to work together.
Can you give me an example of parallelism?
Sure! An example of parallelism is processing large datasets using multiple CPU cores on a single server to speed up computations.
What about distributed systems? How do they work?
Distributed systems involve multiple computers working together over a network, sharing resources and tasks to achieve a common goal, like cloud computing.
What are the advantages of using distributed systems?
Distributed systems offer scalability, fault tolerance, and the ability to handle larger workloads by distributing tasks across multiple machines.
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