The Scientific Computing group partners with scientists to accelerate scientific discovery.
With our highly tuned high performance computing and data ecosystem, we enable researchers to ask and answer new scientific questions.
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.
Data Ark (Data Commons)
Data Ark includes both public and Sinai-generated data sets. This initiative is led by Associate Professor Paul O’Reilly and Dean for Computing Patricia Kovatch, and supported by the Department of Genetics and Genomic Sciences and Scientific Computing. Access any of the seven data sets for research.
Mount Sinai Data Warehouse
The MSDW collects clinical, operational, and financial data for use in clinical and translational research, as well as quality and improvement initiatives. See options to work with MSDW analysts to compose custom SQL queries for research, so you can conduct more research with better data.
2021/07/16 – Two Interactive V100 GPU Modules Now Live
2021/06/17 – CATS coming soon
2021/04/23 – Thank you to all who attended today’s LSF Scheduling Training
For those unable to attend, please find a copy of the presentation here.
2020/11/18 – New A100 GPU nodes are available on Minerva
2020/10/29 – New high memory compute nodes are open on Minerva
2020/09/01 – 2020 Fall Minerva training session
2020/08/20 – Rstudio Connect server is available on Minerva
Remember to acknowledge Mount Sinai in your work.
An acknowledgement of support from the Icahn School of Medicine at Mount Sinai should appear in a publication of any material, whether copyrighted or not, based on or developed with Mount Sinai-supported computing resource.