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- Alternative parallel execution frameworks in xarray · 3 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1287134964 | https://github.com/pydata/xarray/issues/6807#issuecomment-1287134964 | https://api.github.com/repos/pydata/xarray/issues/6807 | IC_kwDOAMm_X85MuB70 | dcherian 2448579 | 2022-10-21T15:38:27Z | 2022-10-21T18:08:49Z | MEMBER | IIUC the issue Ryan & Tom are talking about is tied to reading from files. For example, we read from a zarr store using IIUC #4628 is about concatenating such arrays i.e. neither With dask or cubed we would have PS: This is what I was attempting to explain (not very clearly) in the distributed arrays meeting. We don't ever use |
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Alternative parallel execution frameworks in xarray 1308715638 | |
| 1188496314 | https://github.com/pydata/xarray/issues/6807#issuecomment-1188496314 | https://api.github.com/repos/pydata/xarray/issues/6807 | IC_kwDOAMm_X85G1wO6 | dcherian 2448579 | 2022-07-19T01:29:28Z | 2022-07-19T01:29:28Z | MEMBER | Another parallel framework would be Ramba cc @DrTodd13 |
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Alternative parallel execution frameworks in xarray 1308715638 | |
| 1188361671 | https://github.com/pydata/xarray/issues/6807#issuecomment-1188361671 | https://api.github.com/repos/pydata/xarray/issues/6807 | IC_kwDOAMm_X85G1PXH | dcherian 2448579 | 2022-07-18T21:56:58Z | 2022-07-18T21:56:58Z | MEMBER | This sounds great! We should finish up https://github.com/pydata/xarray/pull/4972 to make it easier to test. |
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Alternative parallel execution frameworks in xarray 1308715638 |
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