Computational Earth & Environmental Sciences
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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