High Performance Computing (HPC)
At GW, researchers are tackling some of the world's most complex challenges, including climate change, trustworthy artificial intelligence (AI) and the development of new disease treatments. These challenges require immense computing power, and that's where GW High Performance Computing (HPC) comes in. HPC at GW is a vital resource for the university's research community, enabling researchers to push the boundaries of discovery and innovation.
What is HPC?
HPC uses supercomputers or clusters of powerful computers to solve extremely complex problems and analyze vast datasets much faster than a standard computer. This enables researchers to conduct advanced simulations, model intricate systems, and process "big data" to support innovation research.
HPC Resources
GW has three distinct HPC clusters: Pegasus, Cerberus, and Raptor. These clusters provide the computational power needed for a wide range of research projects.
Pegasus
Pegasus is GW's flagship HPC cluster, offering advanced computing capabilities with over 200 compute nodes, GPUs, and high memory nodes.
Cerberus
Cerberus is specifically designed for teaching and classroom use, providing a hands-on HPC experience for students.
Raptor
Raptor (HTCondor) is a high throughput computing cluster based on the Open Science Grid (OSG), and offers an innovative approach to HPC.
Benefits of HPC
- Open Access to the University Community: HPC resources are available to all GW researchers, faculty, and students, supporting a wide range of research, academic, and student projects.
- Professional Management and Support: The HPC clusters are managed by a dedicated team of experts in GW Information Technology, ensuring smooth operation and providing technical support to users.
- Diverse Research Applications: HPC at GW is being used to advance research in areas such as
- Advanced Deep Learning
- AI-type research
- Large-scale scientific visualization
- Computational fluid dynamics research
- High-memory research