Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/3200#issuecomment-62981108
@brkyvz If we have two block matrices, A and B, and A's column block
partitioning matches B's row block partitioning, can we take advantage of this
fact in computing A * B? I support having only one block matrix partitioner
implementation. Then we do the following:
~~~
if (A.partitioner.colBlockPartitioner == B.partitioner.rowBlockPartitioner)
{
// zip ...
} else {
...
}
~~~
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
