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Using the MIT Supercloud

About This Course

There comes a time when a laptop or deskop is not enough. The MIT Supercloud is available to the MIT community, MGHPCC partners, and collaboartors to enable this sort of work. This course will get you ready to use the MIT Supercloud and get started scaling your code.

This course will go over basics, such as how to log in, all the way through job submission. We have outlined a few suggested paths through the course depending on your workflow. While it can be worked through linearly for a broad exposure of the tools and capabilities Supercloud provies, it is designed so you can work on only the sections that relevant to your workflow.

For a more in-depth course on how to scale your code, take a look at the companion to this course: Introduction to High Performance Scientific Workflows.

Requirements

An MIT Supercloud account is required to work through the examples in this course. Please note that the material in this course may not be relevant to other clusters or HPC systems.

Course Staff

Course Staff Image Lauren Milechin

Lauren Milechin

Lauren Milechin works in Research Computing at MIT. She conducts training for the MIT Supercloud system, and has done research work involving big data, database technology, and machine learning applied to problems in diverse domains. Previously, Lauren worked as Associate Technical Staff at the Lincoln Laboratory Supercomputing Center. Ms. Milechin received an MS degree in industrial mathematics from the University of Massachusetts, Lowell, focusing in computer science applications, such as machine learning and algorithms. She holds a BS degree in mathematical sciences from Worcester Polytechnic Institute, where she explored mathematical modeling of disease and of population dynamics.

Course Staff Image Julie Mullen

Dr. Julie Mullen

Dr. Julie Mullen is a member of the technical staff in the MIT Lincoln Laboratory Supercomputing Center (LLSC) where she assists researchers in maximizing their use of high performance computing resources in order to minimize their time to solution. Additionally, Dr. Mullen leads the design and creation of online professional education courseware for the LLSC, where she pursues research in learning analytics for adaptive learning design and the integration of hands-on physical construction and experimentation with MOOC platforms and technologies. Her work has been published in both the scientific computing and educational domains.

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