Github user yangliuyu commented on the pull request:
https://github.com/apache/spark/pull/964#issuecomment-47795986
@vrilleup about your performance test result for real matrices, what's the
cpu usage rate for each executor? We run svd on a 205899 x 1000 sparse matrix,
1850566 non-zeros, (Spark standalone mode, run 2 worker instance on one
machine, one executor for each worker, 16 cores total) it cost 18 minutes not
including getting the U matrix, cpu usage is about 200%-400% per executor.
Seems not a reasonable time cost even on small number of executors.
---
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.
---
