SeaWulf is Stony Brook University's flagship high-performance computing cluster. Its name combines "Seawolf," the university's mascot, and "Beowulf," one of the first commodity-based HPC clusters. The system powers research across physics, biology, engineering, AI, and data science, offering thousands of cores, high-speed networking, and multi-petabyte shared storage.
What SeaWulf Offers
- CPU and GPU computing for HPC, machine learning, and large-scale data analysis
- Multiple memory configurations, including standard DDR5, high-bandwidth memory (HBM), and large-memory nodes
- High-speed InfiniBand networking with 5–50 GB/s transfer speeds
- Support for parallel computing, simulations, and large-scale data workflows
- Access to GPU-accelerated nodes with K80, P100, V100, and A100 GPUs
Recent Additions
In 2023, Intel Sapphire Rapids processors with high-bandwidth memory (HBM) were added to SeaWulf, providing enhanced performance for memory-intensive workloads.
Research Applications
SeaWulf supports research across multiple disciplines, including:
- Physics: Simulations and modeling
- Climate Science: Weather and climate modeling
- Bioinformatics: Genomics and molecular dynamics
- Materials Science: Computational materials research
- Machine Learning: Model training and inference
- Engineering: Computational fluid dynamics and structural analysis
- Data Science: Large-scale data analysis
Getting Started
Recommended resources to begin using SeaWulf:
Getting Access: Request access through the IACS Ticketing System. See the account setup documentation for full details.