The Center for Computation and Visualization provides high-performance computing and visualization services to the Brown community.
Faculty members, researchers, and students turn to CCV when they need to:
- take advantage of optimized numerical libraries and scientific applications
- run, test or debug parallel or compute-intensive algorithms and applications
- produce, store, backup, analyze or visualize large datasets
- transfer and share data at high bandwidths through a parallel file system
- access computing systems with specialized hardware, such as large memories or GPU co-accelerators
- use Unix/Linux systems to run complex applications and scripting tasks
- integrate externally funded hardware into an on-campus data center.
User Services & Support
The CCV staff consults with prospective users to determine the best way to use our systems.
We support our systems through many activities, including:
- software and application installation, optimization, and maintenance
- code debugging, profiling and parallelization
- education and outreach through documentation, workshops and courses
- proposal development for CCV-related projects
- application development for funded, collaborative projects.