“For example, if we can have multiple Python processes all solving the same problem without communicating with one another (a situation known as embarrassingly parallel), not much of a penalty will be incurred as we add more and more Python processes. On the other hand, if each process needs to communicate with every other Python process, the communication overhead will slowly overwhelm the processing and slow things down. This means that as we add more and more Python processes, we can actually slow down our overall performance.”
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High Performance Python: Practical Performant Programming for Humans
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High Performance Python: Practical Performant Programming for Humans
by
Micha Gorelick241 ratings, average rating, 22 reviews
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