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February 2018

Advanced batch computing on the Flux cluster

February 21 @ 1:00 pm - 5:00 pm
Location: East Hall B250, 530 Church St.
Ann Arbor, MI 48109 United States

Overview This course will cover some more advanced topics in cluster computing on the U-M Flux Cluster. Topics to be covered include a review of common parallel programming models and…

Hadoop and Spark Workshop

February 22 @ 1:00 pm - 5:00 pm
Location: East Hall B250, 530 Church St.
Ann Arbor, MI 48109 United States

Overview Learn how to process large amounts (up to terabytes) of data using SQL and/or simple programming models available in Python, R, Scala, and Java. Computers will be provided to follow…

Advanced batch computing on the Flux cluster

February 23 @ 1:00 pm - 5:00 pm
Location: East Hall B250, 530 Church St.
Ann Arbor, MI 48109 United States

Overview This course will cover some more advanced topics in cluster computing on the U-M Flux Cluster. Topics to be covered include a review of common parallel programming models and…

Fourier transform and its applications in data analysis

February 28 @ 2:00 pm - 5:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

Spectral decomposition of time series (1-D) and image (2-D) data is a commonly used technique across various disciplines that use sensors for data collection. Fourier analysis is the foundation of…

March 2018

Introduction to the Flux cluster and batch computing

March 6 @ 1:00 pm - 4:00 pm
Location: East Hall B254, 530 Church St.
Ann Arbor, MI 48109 United States

Overview This workshop will provide a brief overview of the components of the Flux Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions…

 Deep Neural Networks with TensorFlow: A Quick Start Introduction

March 20 @ 2:00 pm - 4:00 pm
Location: 2001 LSA Building, 500 State St.
Ann Arbor, MI 48109 United States
Presenters: Gregory Teichert, CSCAR

Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. TensorFlow is a popular software library that is often used to construct and train DNNs. In this workshop,…