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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.

Related Event

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

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

Bio: Padmini Rangamani is an associate professor in Mechanical Engineering at the University of California, San Diego. She joined the department in July 2014. Earlier, she was a UC Berkeley…

October 23 @ 2:00 pm - 4:00 pm

Introduction to Deep Neural Networks with Keras/TensorFlow

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…

October 24 @ 9:00 am - 11:00 am

Mixed Effects Modeling in Stata

We’ll discuss mixed model regression (also known as multi-level models or hierarchical linear models) in this session which is used for repeated measures data or data which has a clustering…

October 24 @ 3:00 pm - 4:00 pm

MICDE Seminar: Juan Pablo Vielma, Sloan School of Management, MIT

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…