zhengruifeng commented on pull request #32415: URL: https://github.com/apache/spark/pull/32415#issuecomment-841960775
> It comes up a lot. Sparse is important at scale. Anywhere that plugs into native code it has to be made dense, so can't be applied in some cases. Anything that can operate on sparse reps could open up more possibilities to apply native acceleration. +1 Sparse cases are really general in ML, for many algorithms like (Logistic Regression/etc), the input datasets are expected to be sparse. It should be super useful to have a sparse BLAS impl. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
