Well, I used exactly the mnist_lenet scenario discussed in the JIRA, but what I've observed are eviction times <2.5% of total execution time, almost no sparse intermediates, and the script execution time being dominated by con2d_bias_add. Again, the discrepancy might very well stem from changes made since the JIRA was created.
In any case, I would rather address any existing performance issues than globally disabling evictions (which could easily lead to OOMs) or sparse matrix formats. Hence, I'd like to remove these workaround flags in order to prevent shortcuts that do not apply to all users. Regards, Matthias On Mon, Feb 13, 2017 at 9:19 AM, <dusenberr...@gmail.com> wrote: > Thanks for bringing up the topic. Our deep learning scripts (i.e. > algorithms with several intermediate transformations) have shown cache > release times to be a major bottleneck, thus leading to the creation of > SYSTEMML-1140. Specifically, what did you use to attempt to reproduce 1140? > > > -Mike > > -- > > Mike Dusenberry > GitHub: github.com/dusenberrymw > LinkedIn: linkedin.com/in/mikedusenberry > > Sent from my iPhone. > > > > On Feb 12, 2017, at 12:30 AM, Matthias Boehm <mboe...@googlemail.com> > wrote: > > > > SYSTEMML-1140 >
