
Welcome to the UCR Research Computing Knowledge Base! This resource hub provides practical guides, how-to articles, and technical information to help you effectively utilize UCR’s research computing resources. Use the categories below or the search bar above to find the information you need.
Getting Started
- Introduction to Research Computing at UCR - A beginner’s guide covering concepts, HPC, cloud, data management, and AI/ML.
- About Research Computing at UCR - Mission, vision, strategy, projects (Ursa Major, RCSAS), grants, and team information.
Computing Resources
- What is HPC? - Definition and uses of High-Performance Computing.
- BLAST Searches on the HPCC Cluster - Guide to running BLAST, covering access, partitions, job submission, and optimization.
- Launching and Managing HPC Clusters - Links to guides for launching Ursa Major (GCP) HPC clusters.
- Launching Custom Ursa Major Cluster - Links to UCR-specific custom blueprints and Slurm job examples for Ursa Major.
- HPC Job Scheduling (Slurm) - Connecting to GCP HPC clusters and using basic Slurm commands.
- Ursa Major HPC Clusters - Overview of UCR’s Google Cloud-based, customizable, and scalable HPC service.
- HPCC - Information on UCR’s on-premise High-Performance Computing Center resources, access, and policies.
- Building an HPC Cluster - Technical guide on building HPC clusters with Warewulf, Slurm, and modern tools.
- Comprehensive Guide to Warewulf HPC Cluster Deployment - In-depth guide to Warewulf 4.x, Slurm, and MUNGE deployment.
- Building R1 AAU Research Cluster - Proposal for an AI HPC cluster, comparing with other R1 university resources.
- Open Science Grid - Overview of OSG, its benefits, technologies, and getting started.
- Submit Job to OSG - Guide to submitting HTCondor jobs to the Open Science Grid.
- How to Log Into SDSC Comet and Run a Test Job - Detailed steps for accessing SDSC Comet and submitting a sample job.
Cloud Computing
AI/ML and Edge Computing
- AI/ML Overview - UCR’s AI/ML Hub, covering LLMs, chatbots, software tools, and models.
- AI-Optimized HPC Clusters - Whitepaper on designing and building AI-HPC clusters in 2025.
- Ursa Major Research Services for AI/ML - Overview of AI/ML services available through UCR’s Ursa Major (GCP).
- LLM Inference Settings - Explanation of common inference parameters (Seed, Temperature, Top P/K, etc.).
- Using Gemini for Genomics Research at UCR - Guide on leveraging Google Gemini in genomics, with examples and ethical considerations.
- The Edge AI Revolution - Whitepaper on Edge Computing, AI at the Edge, hardware, software, and challenges.
- Building AI-Optimized High-Performance Computing - Technical guide to AI-HPC cluster architecture and components for 2025.
- Gemini for Physics Researchers - Guide on using Google Gemini in physics research, with applications and practical tips.
Other Computing Resources
- Ursa Major Research Workstations - Overview of customizable, high-performance virtual workstations on Ursa Major (GCP).
- Connecting to a Ursa Major Research Workstation - How-to guide for SSH, RDP, and gcloud connections.
- Launching a Ursa Major Research Workstation - How-to guide for launching workstations via GCP Console or gcloud.
- Research Workstations
- The Nautilus Cluster (Kubernetes)
- Nautilus - Overview of the NRP Nautilus Kubernetes cluster, access, and documentation.
- Linux Manual
- Local Lab Storage
- On-Prem Facilities - Information on UCR’s data centers and on-premise research computing infrastructure.
- Web-Based Research Tools - Listing of available web-based tools for research.
- Accessing SDSC Comet and Running a Test Job - Guide to connecting to SDSC Comet and running a sample Slurm job.
- Using Gemini for Genomics Research at UCR - Guide on leveraging Google Gemini in genomics, with examples and ethical considerations.
- The Edge AI Revolution - Whitepaper on Edge Computing, AI at the Edge, hardware, software, and challenges.
- Building AI-Optimized High-Performance Computing - Technical guide to AI-HPC cluster architecture and components for 2025.
- Gemini for Physics Researchers - Guide on using Google Gemini in physics research, with applications and practical tips.
Interactive Simulations and Visualizations
Other Computing Resources
Research Facilitation
- Research Facilitation Overview - Introduction to UCR’s research computing consultation, training, and support services.
- Grant Colab - Support for incorporating computing resources into grant proposals and finding opportunities.
- Ursa Major Ask - AI-powered tool to generate and execute research computing code and Slurm scripts.
Support and Training
- Lab Support - Tailored computing support for research labs, including infrastructure, software, and workflows.
- UCR Research Computing System Administration Service (RCSAS)
- RCSAS MOU - Memorandum of Understanding for the Research Computing System Administration Service.
- Resources - Directory of UCR Research Computing resources, guides, and partner information.
- Online Courses - Curated list of online courses, tutorials, and videos for research computing, GCP, and ML.
- Workshops and Webinars - Schedule of UCR Research Computing workshops, webinars, and office hours.
- Emerging Research Computing Trends at R1s - Analysis of trends, challenges, and best practices at R1 universities.
Policies and Security
- Policies - Central UCR Research Computing guidelines on resources, data, support, security, and SLAs.
- Ursa Major Policy - Detailed guidelines for UCR’s Ursa Major (GCP) service.
- UCR Data Security Plans
- Research Security - UCR guidelines on data security plans, classification, and compliance (IS-3, NIST, CMMC).
- Backup - Overview of UCR’s data backup solutions including cloud archival and endpoint protection.
- Cost Models - Explanation of funding and cost models for UCR research computing resources.
- GCP, AWS, EDP - Information on UCR’s Enterprise Discount Programs for Google Cloud, AWS, and Azure.
- HPCC GPFS - Information on the HPCC’s General Parallel File System for high-speed storage.
- NSF Access - Guide to the NSF ACCESS program for national cyberinfrastructure resources.
Best Practices