High Performance Computing

Research Computing & Infrastructure staff provide help utilizing campus-wide and local cluster computing resources for research, including training classes and workshops for the entire U-M community.

Service Status: Active

Features

LSA Technology Services' Research Computing and Infrastructure staff provide help in coding, using, and storing output produced using:

Great Lakes campus-wide cluster computing
Visualization GPU computing
XSEDE cluster computing
Amazon Web Services
Custom Data Analysis machines including those used in the analysis of Big Data
Support for Instructional Use of Great Lakes

Who can use this service?

Faculty, staff, and students in LSA.

Support

We provide office hours, training classes and workshops for support of these resources and for various computing languages.

Great Lakes User Guide

Requesting Service

To submit a request for assistance, please email hpc-support@umich.edu.

User Groups:	Student Services ; Faculty Services ; Researcher Services
Categories:	Research Support & Tools

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High Performance Computing

Features

Who can use this service?

Support

Requesting Service

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