UCR provides campus licenses for many popular applications.

https://sitelicense.ucr.edu/

The High-Performance Computing Center on campus has 1000's of research and scientific software applications installed on the HPCC Cluster.

• Custom software installs by emailing ticket system @ support@hpcc.ucr.edu
• The software install on the cluster in managed via Software Modules
• For details see the HPCC Software page

Amazon Web Services:

• Blockchain
  • Shared ledgers for trusted transactions among multiple parties
• Cloud Migration
  • Easily migrate apps and data to AWS
• DevOps
  • Rapidly and reliably build and deliver products using DevOps practices
• Edge Computing
  • Move data processing and analysis as close to the end user as necessary
• Machine Learning
  • Build with powerful services and platforms, and the broadest machine learning framework support anywhere

Google Cloud Platform:

• https://cloud.google.com/docs/overview/cloud-platform-services

Name: STATA

Version: 16

Use: Data Science

License: Required, UCR Campus-Wide STATA-SE, UCR STATA-MP4

Links:

• Why STATA?
• Features
• Which STATA is right for you?
• Video tutorials
• Support
• STATA-SE Campus Links

More UCR HPCC Cluster specific Information:

STATA on Linux Clusters

• Instructions tailored for UCR HPCC
• Can be helpful for other Linux systems and clusters
• For STATA-MP licenses

When you submit a job to a Linux cluster you are sending a file to the cluster scheduler that tells the cluster what to do. This file is called a job submission file. The job submission file has two main parts. The top part defines what resources your job is requesting. The bottom part defines what your job will do with those resources.

Example job submission file for HPCC and the job scheduler Slurm.

For STATA-MP running jobs like this requires running in BATCH mode.

• STATA Batch Mode
• Do-files
• Take the batch mode command and put that into the run section of the job submission file.

 

The resulting job submission file would look something like this:

“

#!/bin/bash -l

#SBATCH --nodes=1

#SBATCH --ntasks=4

#SBATCH --cpus-per-task=1

#SBATCH --mem=32G

#SBATCH --time=1-00:15:00     # 1 day and 15 minutes

#SBATCH --mail-user=useremail@address.com

#SBATCH --mail-type=ALL

#SBATCH --job-name="just_a_test"

#SBATCH -p intel

# Load STATA

module load stata/16

# Run STATA

stata -b do dofilename.do

“

Then:

• Upload your do-file to the cluster.
• Submit your job to the cluster.
  • “sbatch YourSubmissionFile.sh”
• Download results.

Other resources for such an explanation of resources and how to connect and use the cluster:

• Managing Jobs
• Cluster Information
• Getting Started
• Tutorials