azavea / azavea/simple-raster-processing
Implement multiprocessing
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- Dominant language
- Python
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- 6
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Description
For operations that lend themselves to being parallellized (count & count pairs should both apply), implement a multiprocessing architecture to take advantage of multiple cores. This is similar in spirit and design to [Rio Mucho](https://github.com/mapbox/rio-mucho), however that library expects a disk path to write output to, instead of returning numpy arrays which would be useful for an HTTP geoprocessing service.
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