NCSA to host summer workshops on data-intensive computing and harnessing GPUs
04.11.14 - Permalink
This summer the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign will host two summer workshops offered by the Virtual School of Computational Science and Engineering.
Harness the Power of GPUs: Introduction to General Purpose GPU Programming, June 16-20
Harness the Power of GPUs 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
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.
To register for these events, go to https://www.xsede.org/web/xup/course-calendar. Note that each workshop is offered simultaneously at multiple sites, so be sure to register for the site that is most convenient for you.
XSEDE is supported by National Science Foundation through award ACI-1053575.