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.
We are supported by grant UL1TR004419 from the National Center for Advancing Translational Sciences, National Institutes of Health.
Minerva High Performance Computing Platform
The primary asset for Scientific Computing is the supercomputer Minerva. The HPC resource, was created in 2012 and has been upgraded several times since then, most recently in January 2022, utilizes 24,214 Intel Platinum in three generations including 8358 2.6 GHz, 8268 2.9 GHz and 8168 2.7GHz compute cores (48 cores or 64 cores per node with two sockets in each node), 92 nodes with 1.5TB of memory per node, 353 nodes with 192 GB of memory per node, 48 V100 GPUs, 40 A100 GPUs, 210 terabytes of total memory 350 terabytes of solid-state storage, 32 petabytes of spinning storage accessed via IBM’s Spectrum Scale/General Parallel File System (GPFS) for a total of 2 petaflops of compute power. Minerva has contributed to over 1,300 peer-reviewed publications in ten years. Click here for a quickstart guide to access Minerva directly. See also:
- Request a Minerva User Account
- Request Project Allocation
- Request External Collaborator Account/Project Allocation
- Publishing papers made possible with Mount Sinai-supported computing resources: click here for acknowledgements to insert in your publication
For Minerva User Training Classes and Archives, click here.
Through Minerva, researchers may access volumes of data:
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.
The Mount Sinai Data Warehouse (MSDW) collects clinical, operational, and financial 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.
Scientific Computing and Data Science 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
- HHEAR and HADatAc are public data collections of longitudinal health data
Still have questions about High Performance Computing? Contact us at firstname.lastname@example.org