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https://issues.apache.org/jira/browse/MXNET-1050?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lin Yuan updated MXNET-1050:
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Description:
Currently, multithreading in training is achieved through OpenMP at operator
level. There are issues filed on GitHub about OpenMP in MXNet. Besides, there
is no clear benchmark on the performance impact on various platforms
*Acceptance Criteria*
- Fix/address all issues related to OpenMP
- Understand the performance impact of OpenMP with benchmarks
- Provide an optimal thread setting for users at different computing platforms
> As a user, I would like to speed up training job using multithreading
> ---------------------------------------------------------------------
>
> Key: MXNET-1050
> URL: https://issues.apache.org/jira/browse/MXNET-1050
> Project: Apache MXNet
> Issue Type: Story
> Components: Apache MXNet Backend
> Reporter: Lin Yuan
> Priority: Major
>
> Currently, multithreading in training is achieved through OpenMP at operator
> level. There are issues filed on GitHub about OpenMP in MXNet. Besides, there
> is no clear benchmark on the performance impact on various platforms
> *Acceptance Criteria*
> - Fix/address all issues related to OpenMP
> - Understand the performance impact of OpenMP with benchmarks
> - Provide an optimal thread setting for users at different computing platforms
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