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From "wangwei (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SINGA-423) Deep learning over AMD GPUs
Date Thu, 07 Mar 2019 09:21:00 GMT

    [ https://issues.apache.org/jira/browse/SINGA-423?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16786547#comment-16786547
] 

wangwei commented on SINGA-423:
-------------------------------

Hi,

The task is to run Singa code on AMD GPUs by calling AMD's deep learning library.

You need to update the files here

[https://github.com/apache/incubator-singa/tree/master/src/model/operation |https://github.com/apache/incubator-singa/tree/master/src/model/operation.]

[ https://github.com/apache/incubator-singa/tree/master/src/core/tensor|https://github.com/apache/incubator-singa/tree/master/src/model/operation.]

https://github.com/apache/incubator-singa/tree/master/src/core/device

to add the operations implemented using AMD's APIs.

 

 

> Deep learning over AMD GPUs
> ---------------------------
>
>                 Key: SINGA-423
>                 URL: https://issues.apache.org/jira/browse/SINGA-423
>             Project: Singa
>          Issue Type: New Feature
>            Reporter: wangwei
>            Priority: Major
>              Labels: gsoc2019
>
> GPU is a fueling factor for deep learning. Most deep learning libraries (including Singa)
are using Nvidia GPUs because [cuDNN|https://developer.nvidia.com/cudnn] from Nvida provides
almost all deep learning operations, which are also highly optimized.
>  
> This ticket is to provide support for AMD GPUs in Singa. AMD has provided a similar [library
|https://rocm.github.io/dl.html] as cuDNN. The task is then to integrate this library with
Singa's programming model, write the documentation and conduct the corresponding test.
>  
> Programming language: C++, CMake, OpenCL or [HIP|https://gpuopen.com/compute-product/hip-convert-cuda-to-portable-c-code/]
> OS: Linux (Ubuntu or CentOS)
> Tools: Github, JIRA,
> Machine learning (ML) background: basics of ML and DL (deep learning)
>  



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