issue_comments: 307977450

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https://github.com/pydata/xarray/issues/1257#issuecomment-307977450 https://api.github.com/repos/pydata/xarray/issues/1257 307977450 MDEyOklzc3VlQ29tbWVudDMwNzk3NzQ1MA== 1197350 2017-06-13T01:08:07Z 2017-06-13T01:08:07Z MEMBER

I am very interested. I have been doing a lot of benchmarking already wrt dask.distributed on my local cluster, focusing on performance with multi-terabyte datasets. At this scale, certain operations emerge as performance bottlenecks (e.g. index alignment of multi-file netcdf datasets, #1385).

I think this should probably be done in AWS or Google Cloud. That way we can establish a consistent test environment for benchmarking. I might be able to pay for that (especially if our proposal gets funded)!

 
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