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A comment on Optimizing Python – A Case Study. Parent comment

Re:Optimizing Python – A Case Study by wallstop on Friday May 29, 2015 @01:00AM (#9622754)
Is this really a suitable counter-question? GPUs lend themselvse towards specific kinds of programming problems + added latency of GPU communication. On the contrary, the cost between switching from any on-CPU language is programmer time that may result in significant runtime advantages.
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Re:Optimizing Python – A Case Study by vetinari on Friday May 29, 2015 @07:20AM (#9623887)
Also disadvantages: increased programmer time for implementing new features. Risks: you might optimize the wrong part (i.e. you invest into rewrite, but it will not solve performance problems).

That's why you must quantify advantages and disadvantages, including risks minimization and only then you'll see, whether given course of action is viable.

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