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Assuming it's local, you can technically run Spark on a single machine, and leverage multiple cores, but running Spark locally also incurs a lot of overhead compared to the generic local numpy use, so I'm not sure it'd be worth it.
Looking ahead, we want to make dask an optional backend engine for thunder, alongside the current spark and numpy backends, and I think that will give a large boost to local multi-core performance.
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jwittenbach commentedon Jun 22, 2016
@RijadAlisic Are you trying to using "local mode" or are you trying to run against Spark?
freeman-lab commentedon Jun 22, 2016
Assuming it's local, you can technically run Spark on a single machine, and leverage multiple cores, but running Spark locally also incurs a lot of overhead compared to the generic local numpy use, so I'm not sure it'd be worth it.
Looking ahead, we want to make
daskan optional backend engine forthunder, alongside the current spark and numpy backends, and I think that will give a large boost to local multi-core performance.