High Performance Computing

Partnering with scientists to accelerate scientific discovery

The High Performance Computing resource Minerva has over 2 petaflops of compute power. Minerva was created in 2012 and has been upgraded several times since then, most recently in January 2022, and utilizes 24,214 Intel Platinum in three generations including 8358 2.6 GHz, 8268 2.9 GHz and 8168 2.7 GHz compute cores (48 cores or 64 cores per node with two sockets in each node), 92 nodes with 1.5 terabytes 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). Minerva has contributed to over 1,400 peer-reviewed publications in ten years. More details here.


March 14, 2023 – New Room Scheduling Update: Effective April 1st 2023, eRAP will no longer support room scheduling. This function will be transitioned to the Robin application. Please submit questions to ASCIT@mssm.edu

March 14, 2023 –  New Equipment Scheduling Update: Effective April 1st 2023, eRAP will no longer support equipment scheduling. This function will be transitioned to Agilent iLAB application. Please submit questions to ASCIT@mssm.edu

March 8, 2023  Computational and data science ecosystem is available for Oncology researchers to gain insights to further their research. There are HP resources, EHR cohort query tools, data resources and electronic data capture systems available here. Expertise is available to support researchers with tools, data access, and consultations.

March 3, 2023 – Thank you to everyone who participated in the Annual User Surveys. To see Minerva HPC’s feedback, click here. To see Data Ark’s feedback, click here.

February 2, 2023 – Minerva Spring Training sessions are scheduled! Join us for Introduction to Minerva, Load Sharing Facility (LSF) Job Scheduler, and Running Jupyter Notebook and RStudio on Minerva. Click here for details and registration information.

January 10, 2023  – Reminder: All Matlab users must renew their license for the period of January 1, 2023 through December 31, 2023. Access will be turned off for users who do not renew their license. Click here to complete the form to renew your license. 

Top 10 Users

05 March through 11 March 2023

PI Department Total Hours
Bunyavanichh, Supinda Genetics and Genomic Sciences 79,164
Chowell, Diego Precision Immunology Institute 78,129
Raj, Towfique Neurosciences 68,731
Buxbaum, Joseph Psychiatry 56,209
Do, Ron Genetics and Genomic Sciences 42,050
Roussos, Panos Psychiatry 25,841
Klein, Robert Genetics and Genomic Sciences 24,014
Charney, Alexander Genetics and Genomic Sciences 22,245
Zhang, Bin Genetics and Genomic Sciences 21,070
Kim-schulze, Seunghee Oncological Sciences 2,082

Minerva High Performance Computer

Leverage the compute power of Minerva to advance your science

Technical Specifications

Over 2 petaflops of compute power, 210 TB of total system memory, and over 24,000 cores. See more.

Chimera Partition

Chimera partition

  • 4 login nodes – Intel Xeon(R) Platinum 8168 24C, 2.7GHz – 384 GB memory
  • 275 compute nodes* – Intel 8168 24C, 2.7GHz – 192 GB memory
    • 13,152 cores (48 per node (2 sockets/node))
  • 37 high memory nodes – Intel 8168/8268 24C, 2.7GHz/2.9GHZ – 1.5 TB memory
  • 48 V100 GPUs in 12 nodes – Intel 6142 16C, 2.6GHz – 384 GB memory – 4x V100-16 GB GPU
  • 32 A100 GPUs in 8 nodes – Intel 8268 24C, 2.9GHz – 384 GB memory – 4x A100-40 GB GPU
    • 1.92TB SSD (1.8 TB usable) per node
  • 10 gateway nodes
  • New NFS storage (for users home directories) – 192 TB raw / 160 TB usable RAID6
  • Mellanox EDR InfiniBand fat tree fabric (100Gb/s)
BODE2 Partition

BODE2 partition

$2M S10 BODE2 awarded by NIH (Kovatch PI)

  • 3,744 48-core 2.9 GHz Intel Cascade Lake 8268 processors in 78 nodes
  • 192 GB of memory per node
  • 240 GB of SSDs per node
  • 15 TB memory (collectively)
  • Open to all NIH funded projects
CATS Partition

CATS partition

$2M CATS awarded by NIH (Kovatch PI)

  • 3,520 64-core 2.6 GHz Intel IceLake processors in 55 nodes
  • 1.5 TB of memory per node
  • 82.5 TB memory (collectively)
  • Under installation. will be open to eligible NIH funded projects

Account Request

All Minerva users, including external collaborators, must have an account to access. See more.

Mount Sinai User

Request a Minerva User Account. You’ll need your Sinai Username, PI name, and Department.

External Collaborator

Request an External Collaborator User Account. PI’s can request an account for non-Mount Sinai Users.

Group Collaborator

Request a Group Collaboration. Collaboration accounts for group-related activities require PI approval.

Project Allocation

Request for Project Allocation. Request allocation on Minerva for a new or existing project.

Connect to Minerva

Minerva uses the Secure Shell (ssh) protocol and Two Factor authentication. Minerva is HIPAA compliant. See more.

Quick Start Guide

Connect to Minerva from on-site or off-site, utilizing Unix or Windows. See more.

Acceptable Use Policy

When using resources at Icahn School of Medicine at Mount Sinai, all users agree to abide by specified user responsibilities. See more.

Usage Fee Policy

Please refer to our comprehensive fee schedule based on the resources used. See more.

  •  The current charging rate is $100/TiB/yr calculated monthly at a rate of $8.33/TiB/mo
  • PI’s receive a monthly report showing their group’s usage alongside the cost
  • Charges are processed automatically every two months via internal invoicing through central finance

We are HIPAA Compliant

All users are required to read the HIPAA policy and complete the Minerva HIPAA Compliance Form on an annual basis. For 2022 users, HIPAA Compliance Forms must be completed and submitted by January 31, 2022 or accounts will be locked. Click here to read more about HIPAA Compliance.

Research Data

Utilize existing data, or supplement your research with additional data from the Mount Sinai Health System.

Mount Sinai Data Warehouse

The Mount Sinai Data Warehouse (MSDW) collects clinical and operational data for use in clinical and translational research, as well as quality and improvement initiatives. MSDW provides researchers access to data on patients in the Mount Sinai Health System, drawing from over 11 million patients with an encounter in Epic EHR.

More about MSDW

Data Ark: Data Commons

The Data Ark: Mount Sinai Data Commons is located on Minerva. The number, type, and diversity of restricted and unrestricted data sets on the Data Ark are increasing on an ongoing basis. Rapidly access high-quality data to increase your sample size; our diverse patient population is ideal for testing the generalizability of your results.

More about Data Ark


The Human Health Exposure Analysis Resource (HHEAR) Data Center was established as a continuation of the CHEAR Data Center, expanding to include health outcomes at all ages. The goal is to provide approved HHEAR investigators their laboratory analysis results and incorporate them in statistical analyses of their study data.

More about HHEAR

Acknowledge Mount Sinai in Your Work

Utilizing S10 BODE and CATS partitions requires acknowledgements of support by NIH in your publications. To assist, we have provided exact wording of acknowledgements required by NIH for your use.

Supported by grant UL1TR004419 from the National Center for Advancing Translational Sciences, National Institutes of Health.

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GooGhywoiu9839t543j0s7543uw1 - pls add laura.dent@mssm.edu to GA account UA-149832711-2 with 'Administrator' permissions - date 12/9/22