The Extreme Scale Engineering and Discovery Environment (XSEDE) is an NSF-funded service that provides computing resources to institutions across the country. XSEDE is an open scientific discovery infrastructure combining leadership class resources at eleven partner sites to create an integrated, persistent computational resource.

ARC-TS participates in the XSEDE Campus Champion program, facilitating access to the organization’s resources. Contact Brock Palen for more information.

For general information on XSEDE, visit the XSEDE home page.

Order Service

Visit the XSEDE User Portal for information on getting an XSEDE allocation.

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October 22 @ 12:00 pm - 1:00 pm

MICDE/Quantitative Biology Seminar: Padmini Rangamani, Mechanical and Aerospace Engineering, UC San Diego

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Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level, Python interface running on top of multiple neural network libraries, including…

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Bio: Juan Pablo Vielma is the Richard S. Leghorn (1939) Career Development Associate Professor at MIT Sloan School of Management and is affiliated to MIT’s Operations Research Center. Dr. Vielma…