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Posted to issues@ignite.apache.org by "Oleg Ignatenko (JIRA)" <ji...@apache.org> on 2017/12/06 16:32:00 UTC

[jira] [Comment Edited] (IGNITE-7097) performance measurement for SparseDistributedMatrix multiplication

    [ https://issues.apache.org/jira/browse/IGNITE-7097?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16280426#comment-16280426 ] 

Oleg Ignatenko edited comment on IGNITE-7097 at 12/6/17 4:31 PM:
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I experimented with running benchmarks using ML codebase in master: the issue is still reproducible. Whatever causes it, apparently hasn't been fixed yet. Plan to check if maybe there is some kind of leak, maybe intermediate objects are created by {{likeMatrix}} or {{likeVector}} (possibly eg through {{copy}}) somewhere within multiplication without corresponding {{destroy}} because in past experiments it was missing destroy that caused yardstick to hang


was (Author: oignatenko):
I experimented with running benchmarks using ML codebase in master: the issue is still reproducible. Whatever causes it, apparently hasn't been fixed yet. Plan to check if maybe there is some kind of leak, maybe intermediate objects are created by {{likeMatrix}} or {{likeVector}} somewhere within multiplication without corresponding {{destroy}} because in past experiments it was missing destroy that caused yardstick to hang

> performance measurement for SparseDistributedMatrix multiplication
> ------------------------------------------------------------------
>
>                 Key: IGNITE-7097
>                 URL: https://issues.apache.org/jira/browse/IGNITE-7097
>             Project: Ignite
>          Issue Type: Task
>          Components: ml, yardstick
>            Reporter: Oleg Ignatenko
>            Assignee: Oleg Ignatenko
>             Fix For: 2.4
>
>
> We want to start tracking our performance to avoid performance degradation. Also we need some performance comparison with other ml libs.
> Initial draft for this benchmark was made per IGNITE-6123 (class {{IgniteSparseDistributedMatrixMulBenchmark}}) but it currently hangs so it is excluded. Find a way to do it right.



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