The Cornell RPCC menu provides a streamlined way to review core services, locations, and contact details for the Research and Policy Computing Center. This guide breaks down key sections so you can quickly find the information you need.
Below is a structured overview of main RPCC offerings, supported hours, and how each service connects to campus research workflows.
| Service | Support Hours | Contact | Primary Audience |
|---|---|---|---|
| Research Computing Consultation | Mon–Fri, 9:00–17:00 | rpcc@cornell.edu | Faculty & Researchers |
| High-Performance Computing Access | 24/7 Cluster Access | hpc-help@cornell.edu | Students & Researchers |
| Data Storage and Backup | Mon–Fri, 8:00–18:00 | storage-support@cornell.edu | Research Groups |
| Statistical Consulting | Appointment-based | stats-consult@cornell.edu | Faculty & Graduate Students |
Research Computing Consultation Details
This section highlights how research computing consultation supports project planning, resource selection, and efficient use of Cornell infrastructure. Specialists help align technical options with research goals.
Consultations are by appointment and focus on workflow design, software selection, and troubleshooting. The team emphasizes reproducible practices and documentation to support long term project success.
High-Performance Computing Access
Cornell RPCC offers high-performance computing access through cluster environments tailored to varying workload types. Users can select appropriate systems for simulations, data analysis, or machine learning tasks.
Access requires account approval and completion of responsible use training. Authentication and job scheduling are managed through standard HPC portals with detailed documentation.
Data Storage and Backup Policies
Reliable data storage and backup services help safeguard research outputs against loss due to hardware issues or accidental deletion. Projects can choose between quota-based storage and project-specific allocations.
Regular snapshot capabilities enable point-in-time recovery, and retention policies clarify priorities for critical datasets. Guidance on data classification helps researchers apply appropriate protection levels.
Statistical Consulting Support
Statistical consulting support strengthens study design, model selection, and interpretation of results. Consultants collaborate with researchers to align methods with disciplinary standards and best practices.
Workshops and one-on-one sessions cover topics such as experimental design, regression modeling, and reproducibility techniques. Booking early ensures adequate time for thorough methodological review.
Key Takeaways for Using Cornell RPCC
- Plan ahead for consultations and cluster access approvals to avoid delays.
- Document workflows and data decisions to support reproducibility and collaboration.
- Choose storage options based on data criticality and access patterns.
- Engage statistical consultants early in study design for stronger methodology.
- Use training resources to maximize the efficiency and safety of your RPCC usage.
FAQ
Reader questions
How do I request a research computing consultation at Cornell RPCC?
Submit a consultation request through the RPCC website or email rpcc@cornell.edu with a brief description of your project and preferred meeting times.
What should I prepare before high-performance computing access approval?
Prepare a detailed project overview, expected resource needs, and complete required training modules before your access request is reviewed.
How are data backups managed for research storage at Cornell RPCC?
Backups are scheduled based on storage tier, with snapshot schedules and retention periods documented in the storage policy for your project.
Can statistical consulting help with designing a new experiment or survey?
Yes, consultants can assist with power analysis, variable selection, and sampling strategies to ensure robust and interpretable results.