SeaWulf Cluster Overview

SeaWulf Cluster Overview

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 Access: Request access through the IACS Ticketing System. See the account setup documentation for full details.