Scientific Computing and Data Science partners with scientists to accelerate scientific discovery. Led by Dean for Scientific Computing Patricia Kovatch, the Scientific Computing team provides tools, resources, and assistance to researchers across institutions around the globe.
The primary asset for Scientific Computing is the Supercomputer Minerva. The HPC resource, upgraded in 2020 with a total of 1.5 petaflops of computational power, consists of >20,000 compute cores, 350 terabytes of flash and 21 petabytes of parallel file system storage, and has been cited in over 1,170 papers in seven years. Click here for a quickstart guide to access Minerva directly. See also:
- Request a Minerva User Account
- Request Project Allocation
- Are you an external collaborator? Click here
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, 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:
- MSDW supports a suite of query tools (some self-service)
- 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
Still have questions about High Performance Computing? Contact us at email@example.com