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convolve_2d
Caching is an important way that we can avoid disk I/O, as we have been doing in routing for some time now. GDAL states that it already has an LRU caching mechanism (and has for a long time), and also python now has an LRUCache in the standard library.
So, do we gain anything performance-wise to implement a python block cache of numpy arrays?
The text was updated successfully, but these errors were encountered:
Adding an LRUCache to convolve_2d.
882b868
RE:natcap#373
Noting change in HISTORY. RE:natcap#373
93993bb
Successfully merging a pull request may close this issue.
Caching is an important way that we can avoid disk I/O, as we have been doing in routing for some time now. GDAL states that it already has an LRU caching mechanism (and has for a long time), and also python now has an LRUCache in the standard library.
So, do we gain anything performance-wise to implement a python block cache of numpy arrays?
The text was updated successfully, but these errors were encountered: