Flexera License, Singularity Container

Installing Parabricks via the Singularity container installer requires:

You can test whether you have CUDA installed by running the following:

            

            
nvidia-smi
        

If the command is not found, you do not receive a valid status message for your GPU or your CUDA version is older than:

• CUDA 10.1 for non-Ampere GPUs

• CUDA 11.0 for Ampere GPUs

then you will need to install CUDA. Instructions for doing so can be found at https://developer.nvidia.com/cuda-downloads. Once you have installed CUDA, you may proceed with the following steps.

Using a Flexera license requires a dedicated license server but the allows the Clara Parabricks software to be run on multiple machines, depending on how many licenses are purchased.

Setting up a Flexera License Server on Ubuntu: Quick Start Guide

For a more detailed and customizable configuration of the Flexera License Server, please refer to this guide: https://docs.nvidia.com/grid/ls/latest/grid-license-server-user-guide/index.html

Step 1: Download the Clara Parabricks software

Request NVIDIA Parabricks access from https://developer.nvidia.com/clara-parabricks to get an installation package for your GPU server.

Before setting up a license server you must register your entitlements by following your welcome guide directions.

Step 2: Login to the Nvidia license portal

Login to the NVIDIA License Portal by going to https://nvid.nvidia.com.

Step 3: Download the Flexera software

In another browser tab, download the Flexera License Server .zip file by navigating to the NVIDIA License Portal software downloads tab, click on the ‘additional software’ button, and download the latest version of the Linux license server.

Step 4: Setup the Flexera license server

Setup the Flexera License Server on your Ubuntu system:

            

            
# Step 1: Update Installation Packages.
$ sudo apt-get update

# Step 2: Install Java Runtime Environment.
$ sudo apt install -y default-jre

# Step 3: Install and Run Apache Tomcat Server.
$ sudo apt install -y tomcat8
$ sudo systemctl enable tomcat8.service
$ sudo systemctl start tomcat8.service

# Step 4: Unzip the NVIDIA License Server.
$ sudo apt install -y unzip
$ unzip NVIDIA-ls-linux-xxxx.xx.x.xxxxxxxx.zip

# Step 5: Run the NVIDIA License Server Setup.
$ cd NVIDIA-ls-linux-xxxx.xx.x.xxxxxxxx
$ chmod +x setup.bin
$ sudo ./setup.bin
        

After installation, access the Flexera License Server management interface in a web browser by using the format of the base URL:

scheme

The URL scheme, which is either http or https.

hostname

The hostname of the license server, which can be a fully-qualified domain name such as gridlicense1.example.com, or an IP address such as 10.31.20.45.

port

The port number through which the license server is accessed. By default, the http scheme has a port of 8080.

Obtain the MAC address of the machine you're running the Flexera License Server on by navigating to the Configuration tab in the Flexera web interface.

Step 5: Create a license server

Create a License Server in the NVIDIA License Portal by navigating to the License Servers tab and clicking ‘CREATE SERVER’. Make sure to point it to the MAC address of the machine the Flexera license server is running on.

Step 6: Add entitlements

Add the pipeline entitlements to the NVIDIA License Portal License Server you have just created by clicking ‘ADD FEATURES’. Select the pipeline entitlements from the dropdown and then add the number of licenses you have purchased.

Step 7: Download the license file

Download the license.bin file from the NVIDIA License Portal License Server by clicking the 'DOWNLOAD LICENSE FILE' button. As downloaded, the license file name will be of the form license_0123456789AB_MM-DD-YYYY-HH-MM-SS.bin. Please rename it to license.bin for the next steps.

Step 8: Copy the license file to the Flexera server

Copy the license.bin file to the Flexera License Server by navigating to License Management in the Flexera License Server panel. From here, the license.bin file can be uploaded to the server.

A proper installation will display the message:

To request a trial license, go to https://www.nvidia.com/en-us/clara/genomics/ and click on the "FREE 90-DAY TRIAL" button. You should receive two emails with additional instructions. One tells you how to log on to NGC, the other gives you a direct link to NGC (you'll need to be able to log in to NGC). Following the direct link will let you download the "parabricks_free_trial" resource, which will result in you downloading a file called files.zip. Once you have downloaded files.zip, go through the following steps:

            

            
# Unzip the downloaded file. This extracts parabricks.tar.gz from files.zip
$ unzip files.zip

# Extract the installation package.
$ tar -xzf parabricks.tar.gz

# Install the software.
$ sudo ./parabricks/installer.py --flexera-server [hostname]:7070 --container singularity

# Verify your installation.
# This should display the parabricks version number:
$ pbrun version
        

To check if your system has Ampere GPUs, run the following:

            

            
nvidia-smi --query-gpu=name --format=csv,noheader
        

Any GPU labeled with the first letter A (e.g. 'Tesla A100', 'Tesla A40') is an Ampere GPU.

            

            
# Install the software.
$ sudo ./parabricks/installer.py --ampere
        

During the installation you'll be asked

            

            
CUDA_VISIBLE_DEVICES="0,1" pbrun [command and inputs]  --num-gpus 2
        

After installation, the pbrun command will start any tool in the Parabricks software suite. Answering "yes" to the second question (about creating a symbolic link) will make pbrun available for system-wide access. Otherwise, you can access pbrun from your local installation directory, which is /opt/parabricks/pbrun by default.

The 90-day trial includes a license, so you don't need to set up Flexera for the trial.

Clara Parabricks can be built on one machine where you have sudo access and then copied to a second machine where you do not have sudo access.