Our mission is to accelerate scientific discovery at Mount Sinai by providing researchers with scalable high performance computational and data infrastructure. Use the Minerva Supercomputer to perform large computing jobs and run large applications to advance your science.
Accelerating Discoveries for Researchers
Minerva enables researchers to ask and answer new scientific questions. The Minerva Supercomputer is now an essential part of over 2,000 workflows and accelerates progress to expand our field of biomedical knowledge. This has translated into new understanding and new therapies for a wide spectrum of disease categories including autism, cancer progression, insulin resistance in diabetics, cardiac care, and psychiatry, to name but a few. Minerva is utilized for over $100 million in funding from the National Institute of Health.
Named for the Roman goddess of wisdom and medicine, Minerva was introduced at the Icahn School of Medicine in 2012. With a total of 1.5 petaflops of computational power, Minerva consists of >20,000 compute cores, 350 terabytes of flash and 21 petabytes of parallel file system storage, and uses IBM’s General Parallel File System (GPFS) because it has advantages that are specifically useful for this workload—such as parallel metadata, tiered storage, and sub-block allocations.
Minerva: Optimized for Researchers
Through continual refinement and optimization, we continue to create a computational and data ecosystem that is responsive, reliable, and efficient. We gather valuable input through our regular Minerva Town Halls, our Scientific Advisory Board, 1:1 meetings and training sessions.Through the process of benchmarking the system and engaging in dialogue with our users, Minerva is finely-tuned to the needs of research workflows.
Selected Science Enabled by High Performance Computing
The Filizola Lab has harnessed the power of HCP, using Minerva, to create increasingly more complex molecular models and simulations. computer-modeled molecular dynamics for opioid receptors. Researchers have devoted special attention to opioid receptors, which are important drug targets for pain management, drug abuse/addiction, and mood disorders.
The Seaver Center for Autism conducts research studies aimed at understanding the multiple causes of autism spectrum disorder (ASD). Scientific Computing helps researchers conduct large scale sequencing and data analysis on a level that would not have been possible only a few years ago. In a recent study, researchers demonstrated that postzygotic mutations (e.g., sporadic genetic lesions that occur very early during embryonic development) are important factors contributing to ASD risk. This study was cited as one of the most important advances in autism in 2017 by a federal advisory committee, the Interagency Autism Coordinating Committee.
Read more about incredible research conducted through High Performance Computing at Mount Sinai.