issue_comments: 674584614
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/pull/4155#issuecomment-674584614 | https://api.github.com/repos/pydata/xarray/issues/4155 | 674584614 | MDEyOklzc3VlQ29tbWVudDY3NDU4NDYxNA== | 1005109 | 2020-08-16T22:14:55Z | 2020-08-16T22:16:05Z | CONTRIBUTOR | I forgot to take into account that the interpolations are orthogonal So in sequential we are doing 2 interpolation first x then y In parallel we do the same: The fist interpolation will have 20 000 tasks, each task will have the totality of the input array, and compute an interpolation of 5 point of the output (x) producing an array of 5x100 per task or 100 000x100 full result as an intermediate array. The second interpolation will have 20 000² tasks each task will have a block of 5x100 point of the intermediate array and compute an interpolation on 5 point of the output (y) resulting in a 5² array per task and the 100 000² full result. So plenty of room for overhead... |
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