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Scientific Computing and Data / High Performance Computing / About HPC

About High Performance Computing

Scientific Computing and Data partners with scientists to accelerate scientific discovery. Led by Dean for Scientific Computing and Data Patricia Kovatch, the Scientific Computing team provides tools, resources, and assistance to researchers across institutions around the globe.

Supported by grant UL1TR004419 from the National Center for Advancing Translational Sciences, National Institutes of Health.

 

Minerva High Performance Computing Platform

The Minerva supercomputer is maintained by High Performance Computing (HPC). Minerva was created in 2012 and has been upgraded several times (most recently in Nov. 2024 and Feb. 2026) and has over 20 petaflops of computing power. It consists of 25,584 Intel Platinum processors in different generations including 2.1 GHz, 2.3 GHz, 2.6 GHz, and 2.9 GHz computing cores (112 cores or 96 cores or 64 cores or 48 cores per node with two sockets in each node) with 1.5 terabytes (TB) or 2 terabytes (TB) of memory per node, 408 graphical processing units (GPUs), including 48 Nvidia B200s, 236 Nvidia H100s, 32 Nvidia L40S, 44 Nvidia A100s, 48 Nvidia V100s, 452 TB of total memory, and 32 petabytes of spinning storage accessed via IBM’s Spectrum Scale/General Parallel File System (GPFS). Minerva has contributed to over 2,100 peer-reviewed publications since 2012. Click here for a quickstart guide to access Minerva directly. See also:

For Minerva User Training Classes and Archives, click here.

 

Data Resources

Through Minerva, researchers may access volumes of data:

Data Ark (Data Commons)

The Data Ark team downloads, organizes and performs quality assurance and quality control on research data used by Mount Sinai data scientists. The team also manages the data access process, answers questions on the data, and updates to the latest versions of the data sets. Click here to learn more about the Data Ark and how to access it.

Mount Sinai Data Warehouse (MSDW)

The Mount Sinai Data Warehouse (MSDW) collects clinical and operational data for use in clinical and translational research, as well as quality and improvement initiatives. Click here to learn more about MSDW and how to use it.

 

Research Services

Scientific Computing and Data supports many avenues for conducting research:

  • REDCap is a secure web application for building and managing online surveys and databases
  • eRAP is a highly customizable web-based interactive tool for data entry and reporting

 

Questions?

Still have questions about High Performance Computing? Contact us at hpchelp@hpc.mssm.edu