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VSCSE has upcoming courses on GPGPUs (June 16-20), Data (June 30-July 2), and Visualization (Aug. 25-26)
June 16, 2014 @ 12:00 am - August 26, 2014 @ 12:00 am
The Virtual School of Computational Science and Engineering has the following courses scheduled this summer:
Harness the Power of GPU’s: Introduction to GPGPU Programming (June 16 – 20, 2014)
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.
Data Intensive Summer School (June 30 – July 2, 2014)
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.
Science Visualization Course (August 25-26, 2014)
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. Registration is open for Data Intensive and GPGPU! Please go to the XSEDE online calendar to register.