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The SDSS Center for Computation provides a variety of high-performance computing (HPC) resources to support the Stanford Doerr School of Sustainability research community in performing world-renowned research.

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Our mission

To advance research and scholarship by providing access to high-end computing, training, and advanced technical support in an inclusive community at the Stanford Doerr School of Sustainability.

Resources

Computational resources that are available to the Stanford Doerr School of Sustainability research community include cluster-computing, interactive compute nodes, GPU computation, memory-intensive nodes, data storage, and more.

Resources include:

  • Sherlock HPC, SERC partition (233 nodes,  9104 compute cores, 92 A/V100 GPUs, up to 1TB memory)
  • Sherlock (University) HPC cluster
  • Cloud Compute Resources (e.g. Google Earth Engine & Cloud Platform)
  • 2.25 PB Oak Storage
  • AMD cluster (exploratory)
    • 5 nodes
    • Each node has 128 cores, 528GB RAM, 8 MI100 AMD GPU, 1.8 TB Storage