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by crabbone
737 days ago
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Marshaling is an issue as well as concurrency. Simply copying a chunk of data between two libraries through Python is already painful. There are so-called "buffer API" in Python, but it's very rare that Python users can actually take advantage of this feature. If anything in Python as much as looks at the data, that's not going to work etc. Similarly, concurrency. A lot of native libraries for Python are written with the expectation that nothing in Python really runs concurrently. And then you are presented with two bad options: try running in different threads (so that you don't have to copy data), but things will probably break because of races, or run in different processes, and spend most of the time copying data between them. Your interface to stuff like MPI is, again, only at the native level, or you will copy so much that the benefits of distributed computation might not outweigh the downsides of copying. |
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