OVERVIEW This workshop will introduce you to high performance computing on the Great Lakes cluster. After a brief overview of the components of the cluster and the resources available there, the main […]
OVERVIEW This workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and […]
DATA-DRIVEN LEARNING OF NONLOCAL MODELS: BRIDGING SCALES WITH NONLOCALITY
OVERVIEW This workshop provides an introduction to processing CoreLogic data using PySpark on the Great Lakes cluster. The CoreLogic dataset contains aggregated data from individual, parcel-level real estate transactions and […]
OVERVIEW This workshop will go over methods and best practices for running machine learning applications on Great Lakes. We will briefly outline machine learning before stepping through a hands-on example […]
Professor Yun S. Song is working in mathematical and computational biology.
This reading group moderated by consultants from CSCAR will focus on spatial analysis especially as practiced in social sciences. We will meet for 1.5 to 2 hours every month on […]
This is a continuation of the previous workshop "Software Development For Research: Version Control Principles". Now, having learned the basics of version control, we will see how to use the […]
Inferring physical properties and topographical features from free surface flow data
Mesoscale Modeling of Plasticity in Metallic Materials via Advancement of the Discrete Dislocation Dynamics Simulation Method