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SDSC Summer Institute 2015: HPC for the Long Tail of Science
August 10 - 14, 2015
San Diego Supercomputer Center at UC San Diego
San Diego Supercomputer Center at UC San Diego
The SDSC Summer Institute (SI) 2015: HPC for the Long Tail of Science will provide a week long education and training in High Performance and Data Intensive Computing. The Summer Institute will deploy a flexible format designed to help attendees get the most out of their week. The first half of the Summer Institute will consist of plenary sessions covering essential skills including data management, running jobs on SDSC resources, reproducibility, database systems, characteristics of big data, and techniques for turning data into knowledge, software version control and making effective use of hardware. This will be followed by a series of parallel sessions that allow attendees to dive deeper into specialized material that is relevant to their research projects and covering topics in Spark, Parallel Computing, Performance Optimization, Predictive Analytics, Scalable Data Management, Visualization, Workflow Management, GPU/CUDA and Python for Scientific Computing.
The Summer Institute will give participants the opportunity to do hands-on exercises on both Comet, SDSC's newest supercomputer, and the data-intensive Gordon system.
The SDSC Summer Institute is targeted at individuals interested in data science and computational science - especially current and potential users of SDSC's data-intensive resources. Familiarity with UNIX/Linux environments is recommended. Some programming experience in C/C++, Fortran, Java, R, Python, Perl, MATLAB or other languages is preferred. Applicants already dealing with data science and/or computational science problems are especially encouraged to apply.
Priority Applications Due: Friday, May 29, 2015
Application received after May 29, 2015 will be considered based on experience and availability.
Application received after May 29, 2015 will be considered based on experience and availability.
See APPLY page for details.
Registration fee: $300
(Registration fee applies once applicant has been accepted)
