# AOMP SUSE SLES-15-SP1 Install 
<b>The SLES package for AOMP 11.5-0, is pending due to limited office access.</b>
AOMP will install to /usr/lib/aomp. The AOMP environment variable will automatically be set to the install location. This may require a new terminal to be launched to see the change.
```
wget https://github.com/ROCm-Developer-Tools/aomp/releases/download/rel_11.5-0/aomp_SLES15_SP1-11.5-0.x86_64.rpm
sudo rpm -i aomp_SLES15_SP1-11.5-0.x86_64.rpm
```
Confirm AOMP environment variable is set:
```
echo $AOMP
```

## Prerequisites
The ROCm kernel driver is required for AMD GPU support.
Also, to control access to the ROCm device, a user group "video" must be created and users need to be added to this group.

### AMD KFD DRIVER
<b>Important Note:</b>
There is a conflict with the KFD when simultaneously running the GUI on SLES-15-SP1, which leads to unpredicatable behavior when offloading to the GPU. We recommend using SLES-15-SP1 in text mode to avoid running both the KFD and GUI at the same time.

SUSE SLES-15-SP1 comes with kfd support installed. To verify this:
```
  sudo dmesg | grep kfd
  sudo dmesg | grep amdgpu
```

### Set Group Access
```
  echo 'SUBSYSTEM=="kfd", KERNEL=="kfd", TAG+="uaccess", GROUP="video"' | sudo tee /etc/udev/rules.d/70-kfd.rules
  sudo reboot
  sudo usermod -a -G video $USER
```

### NVIDIA CUDA Driver
If you build AOMP with support for nvptx GPUs, you must first install CUDA 10.

<b>Download Instructions for CUDA (SLES15)</b>
1. Go to https://developer.nvidia.com/cuda-10.0-download-archive
2. For SLES-15, select Linux®, x86_64, SLES, 15.0, rpm(local) and then click Download.
3. Navigate to the rpm in your Linux® directory and run the following commands:
```
  sudo rpm -i cuda-repo-sles15-10-0-local-10.0.130-410.48-1.0-1.x86_64.rpm
  sudo zypper refresh
  sudo zypper install cuda
```
If prompted, select the 'always trust key' option. Depending on your system the CUDA install could take a very long time.

<b>Important Note:</b>
If using a GUI on SLES-15-SP1, such as gnome, the installation of CUDA may cause the GUI to fail to load. This seems to be caused by a symbolic link pointing to nvidia-libglx.so instead of xorg-libglx.so. This can be fixed by updating the symbolic link:
```
  sudo rm /etc/alternatives/libglx.so
  sudo ln -s /usr/lib64/xorg/modules/extensions/xorg/xorg-libglx.so /etc/alternatives/libglx.so
```