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Important Dates

Applications submitted prior to June 10 have priority for scholarships.

Notification of acceptance will be provided by June 14. Applications submitted after June 10 will be reviewed and accepted based on availability.

 
Contact Info:

For questions please contact:

sdscsi@sdsc.edu

Links:

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Sponsors:

National Science Foundation

SDSC

Center for Large Scale Distributed Systems
Brocade

SDSC 2014 Summer Institute:

Data Meets HPC

Geisel Library at UC San Diego

Data Meets HPC is the theme of SDSC’s Summer Institute in 2014, reflecting the pressing need for high performance solutions for exploring and analyzing the large volumes of data that science and business applications are now able to generate with ease.  The 5-day summer institute will cover topics in HPC and big data including, data management, data analytics and visualization, and parallel programming models, via discussion of specific use cases and hands-on exercises. Attendees will be introduced to SDSC’s NSF-funded Gordon data-intensive supercomputer as well as other computational resources at SDSC. They will also receive an overview of the NSF XSEDE program—a national-scale cyberinfrastructure for high performance computing. SDSC’s Gordon is a unique resource in XSEDE, given Gordon’s pioneering architecture, which is in concert with SDSC’s vision for supporting data-intensive and big data applications.

The 2014 Summer Institute will employ a 3+2 day format. The first 3 days will emphasize data science topics while the last 2 days will emphasize HPC and XSEDE-related topics. The format is designed such that those interested only in Data Science topics, e.g. industry attendees, may attend only the first 3 days, while those who are also interested in HPC and XSEDE, e.g. science users and XSEDE users, may stay for the entire duration.

Qualifications

The SDSC Summer Institute is targeted to 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, e.g. In C/C++, Fortran, Java,  R, Python, Perl, or MATLAB, is preferred. Applicants already dealing with data science and/or computational science problems are especially encouraged to apply.

Summer Institute Registration Fees

Academic Researchers, Staff, and Students for:  $250

Industry: $2000


The 2012 Summer Institute group of participants.