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From "sahaj jain (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SINGA-423) Deep learning over AMD GPUs
Date Sun, 03 Mar 2019 18:18:00 GMT

    [ https://issues.apache.org/jira/browse/SINGA-423?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16782804#comment-16782804
] 

sahaj jain commented on SINGA-423:
----------------------------------

hello 

i am Sahaj Jain, I am interested in this project and have almost all the pre-requirements
fulfilled. I want to do it is my gsoc 2019 project, I just want some more details of this
project please help me with it.

thanks

> 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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