issue_comments: 162419595
This data as json
| 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/issues/672#issuecomment-162419595 | https://api.github.com/repos/pydata/xarray/issues/672 | 162419595 | MDEyOklzc3VlQ29tbWVudDE2MjQxOTU5NQ== | 7300413 | 2015-12-07T06:11:39Z | 2015-12-07T06:11:39Z | NONE | Hello, I ran it with the dask profiler, and I looked at the top output disaggregated by core. It does seem to use multiple cores, but it seems to be using 8 threads when I looked at prof.visualize() (hyperthreading :P) and I feel this is killing performance. How can I control how many threads to use? Thanks, Joy |
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