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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/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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