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 |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
120681918 |