Scientific Computing

Mount Sinai has made a substantial commitment to its computational and data infrastructure that demonstrates the understanding that a well-designed and managed infrastructure empowers scientists and researchers to be more productive and effective. Furthermore, this substantial investment is a holistic one that includes a professional, operational and experienced scientific computing staff along with the hardware, software and new computational and data facilities optimized for our scientific workload.

Mount Sinai's has multiple computational and data resources encompassing over 200 teraflops of computing, over 100 terabytes of memory and over 10 petabytes of storage. We also host a machine optimized for advanced google-style analytics. An archival storage system encrypts and saves copies of data on tape to two geographically disparate locations.

Mount Sinai also employs several domain-specific PhD-level computational scientists with interdisciplinary expertise to assist researchers to make efficient and effective use of computing resources. These scientists lead graduate courses and accelerate the scientific discovery process by assisting with code development, optimization and troubleshooting. They also conduct annual surveys and actively solicit and respond to feedback from our researchers.

Mount Sinai collaborates and partners with other facilities and vendors to continuously improve its state-of-the-art infrastructure and services. Rigorous and industry-standard multi-factor authentication and other security policies ensure the integrity of the researcher's data and Mount Sinai's compute infrastructure. The scientific computing staff track the communities' best practices and procedures to ensure that Mount Sinai's computing and data services are efficient and effective for its researchers.

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Last Update: October 3, 2015

Related Resources

Scientific Computing [PDF]