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Science Visualization

Class Dates: August 25 – 26, 2014
Class Times: 11AM – 5PM EDT
Description: This two-day training will cover all aspects of visualizing data from a broad variety of domains. We will kick off the training with an introduction to visualization. We will follow by teaching best practices when dealing with diverse data (abstract and spatial), demonstrating a variety of methods and techniques on those data sets, and demonstrating a range of freely available software. We will take real world problems for which visualization is needed and take the attendees through the process of visualizing this data and gaining insight.

Register to attend in person (University of Delaware, Newark, DE)
Registration close date
: 08/25/2014 11:00 EDT

Data Intensive Summer School

Class Dates: June 30, 2014 – July 2, 2014
Class Times: 11AM – 5PM EDT
Description: The Data Intensive Summer School focuses on the skills needed to manage, process and gain insight from large amounts of data. It is targeted at researchers from the physical, biological, economic and social sciences that are beginning to drown in data. We will cover the nuts and bolts of data intensive computing, common tools and software, predictive analytics algorithms, data management and non-relational database models. Given the short duration of the summer school, the emphasis will be on providing a solid foundation that the attendees can use as a starting point for advanced topics of particular relevance to their work.

Register to attend in person (University of Delaware, Newark, DE)
Registration close date
: 06/28/2014 10:00 EDT

Harness the Power of GPU’s: Introduction to GPGPU Programming

Class Dates: June 16, 2014 – June 20, 2014
Class Times: 11AM – 4PM EDT
Description: Harness the Power of GPUs, an Introduction to GPGPU Programming is a mixture of lectures and labs and introduces all levels of parallelism as well as common approaches for parallelization in order to achieve the following goals: Better utilization of the GPUs by enabling more scientists to use them, better understanding of the efficiency in the GPU utilization by the application developers and a higher job throughput by enabling more resources and shortening job runtimes. In addition, participants will understand and avoid the common pitfalls of parallel computing, learn CUDA and OpenACC, understand the basic principles of data parallel computing, tap into enormous computing power, even on a laptop, and speed up research.

Register to attend in person (University of Delaware, Newark, DE)
Registration close date
: 06/13/2014 10:00 EDT