Research Computing

Research Computing Resources

A variety of research computing resources are available to all graduate students and visitors in the Department of Statistics. 

Research Computing Consultation 

Our faculty, Ph.D., postdocs, and sponsored visitors have access to a variety of computing resources to aid in their research.  Questions, inquiries, and consultation meeting requests about any of the services listed below should be addressed to the Research Computing Service (RCS) team at CUIT. 

Please refer to the department’s computing page for information on office computing such as printing, email, etc. 

High-Performance Computing (HPC) 

All the affiliates of the Department of Statistics have access to the departmental allocation at the Columbia University Information Technology (CUIT) High-Performance Computing (HPC) shared clusters: Ginsburg & Terremoto. The clusters were facilitated by the Shared Research Computing Policy Advisory Committee (SRCPAC), an advisory group with representatives from all HPC user groups, libraries, CUIT, and the Office of the Executive Vice President for Research. For any questions, please contact the Research Computing Service (RCS) team at CUIT

Terremoto 

Through 2024, after Phase 1 retirement of some older servers, the Department of Statistics will have high priority on the Terremoto High Performance Computing (HPC) cluster on the following resources:

9 Dell C6420 nodes with dual Intel Xeon Gold 6126 Processor (2.6 GHz)

  • 7 Standard Nodes (192 GB)
  • 2x GPU Nodes with two Nvidia V100 GPU modules each
  • 6TB scratch space
  • Terremoto, launched in December 2018, expanded in December 2019. Terremoto cluster documentation may be found HERE. 

Ginsburg

On the Ginsburg High-Performance Computing (HPC) cluster, the Department of Statistics has high priority on the following resources:

20 Dual Intel Xeon Gold 6226R processors (2.9 GHz):

  • 15 Standard Nodes (192GB ram)
  • 5 GPU Nodes with two Nvidia A100 GPU modules each
  • 20TB scratch space
  • 5 year lifetime

Ginsburg, launched in February of 2021, expanded in March 2022. Ginsburg cluster documentation may be found HERE. 

To request an account on either or both of the shared HPC clusters, Ginsburg & Terremoto, you must be a PI in Statistics. If you are not a PI in Statistics, you cannot request an account for yourself. You must have the PI you are working with request an account on your behalf.

In either case, the PI makes the request via email to the Department’s Chief Administrator, Dood Kalicharan dk@stat.columbia.edu .

For technical help or questions about working on the HPC clusters, please request assistant by emailing the HPC Team at hpc-support@columbia.edu

 

Research Computing Email List Request Form. 

CUIT Research Computing Resources

Foundations for Research Computing Resources 

 

 

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