wangwei created SINGA-423:
-----------------------------
Summary: Implement deep learning operations over AMD GPUs
Key: SINGA-423
URL: https://issues.apache.org/jira/browse/SINGA-423
Project: Singa
Issue Type: New Feature
Reporter: wangwei
GPU is a fueling factor for deep learning. Most deep learning libraries
(including Singa) are using Nvidia GPUs because cuDNN from Nviida 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)
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
