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SDSC Training

Training classes and workshops introduce new and current users to the high performance computing, data, and visualization resources available at SDSC and provide the programming skills necessary to use SDSC resources effectively and efficiently. Workshops offer experienced users more in-depth instruction, including hands-on assistance with their own codes and collaborative discussions with other users and parallel computing experts.

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SDSC training classes are oriented towards experienced computer users who have scientific programming experience. We especially encourage users to become familiar with high-level programming languages, such as Fortran 90, C or C++, on UNIX platforms.

 

Upcoming SDSC Workshops

PACE Data Mining Boot Camps I and II

SDSC Data Mining Workshop 

January 23 – 24, 2013, SDSC
February 7 – 8, 2013, SDSC

SDSC’s Predictive Analytics Center of Excellence (PACE) Data Mining Boot Camps are designed to provide individuals in business enterprises and scientific communities with improved tactics to design, build, verify, and test predictive data models. These hands-on courses emphasize key learning techniques: classification, regression, association rules, and clustering. Boot Camp participants have access to a comprehensive set of data mining tools available on SDSC’s Gordon supercomputer. Registration fee is $1295; seating is limited.

Learn more and register...

2013 International Summer School on HPC Challenges in Computational Sciences

An expense-paid program for graduate students and postdoctoral scholars who use high-performance computing to conduct research is being held this summer in New York City. Interested students should apply by March 18 through the XSEDE User Portal. Find out more at the XSEDE Training page.

Recent SDSC Training Highlights

SDSC Gordon Visualization Workshop, October 24, 2012

SDSC Gordon Visualization Workshop

SDSC's Director of Visualization Services, Amit Chourasia, delivered a face-to-face and online workshop on using VisIt on Gordon to visualize data in a variety of ways. The lectures and slides are available online.

View the recordings and slides.


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