IDIES offers unique big data capabilities to affiliates. The nearly complete Maryland Advance Research Computing Center at Bayview and the currently available Bloomberg Room 156 Data Center create flexible, stable environments for a high density of computing equipment that supports research and training.

Grant Submissions

JHU Faculty and Researchers who are affiliated with IDIES can submit sponsored funding applications through the institute. All projects that are being submitted through IDIES must have characteristics and/or objectives that align with the mission of the institute.

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Maryland Advance Research Computing Center

The new Maryland Advance Research Computing Center is online as of summer, 2015. Shared with the University of Maryland College Park and made possible with generous funding from the state of Maryland, this new facility will provide stable, efficient and easily expandable housing for high performance clusters.

For more info, please contact Jaime Combariza.

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SciServer

SciServer brings the analysis to the data with accessible cloud-based research and education tools that are co-located with big datasets

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Data-Scope

The Data-Scope endeavors to overcome issues related to big data on traditional HPC by Storing the data local to the computer, One-to-One mapping of users to nodes, Leverage GPUs for computation, and Eliminating Bottlenecks.

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Homewood High-Performance Cluster

The Deans and faculties of KSAS and WSE have partnered to create a Homewood High Performance Cluster (HHPC). The HHPC integrates the resources of many PIs to create a powerful and adaptive shared facility designed to support large scale computations on the Homewood Campus.

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Bloomberg 156

JHU Faculty and Researchers who are affiliated with IDIES can submit sponsored funding applications through the institute. All projects that are being submitted through IDIES must have characteristics and/or objectives that align with the mission of the institute.

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Coursera | Johns Hopkins University

Johns Hopkins has partnered with Coursera to deliver free online education. JHU faculty, including several IDIES affiliates, lead a variety of courses, including many relevant to data scientists and researchers meeting the challenge of Big Data. IDIES recommends The Data Scientist’s Toolbox, Statistical Inference, and the ever-popular R Programming.

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