[Vagnekman-users] Intro. to High-Performance Computing - PDC Summer School (deadline: June 1)

[summer-info at pdc.kth.se]

*Call for Participation*

            Introduction to High-Performance Computing
                      PDC Summer School
                    KTH, Stockholm, Sweden
                      August 20-31, 2012
           http://www.pdc.kth.se/education/summer-school

*Invitation*

You are invited to register for the summer school "Introduction to High-Performance Computing" being held at PDC on the KTH main campus. To register, and find out more about the school, visit the school Web page at http://www.pdc.kth.se/education/summer-school/.

*Background*

The PDC Summer School in High-Performance Computing is an annual offering to researchers to improve on their skills in scientific computing. The course is held for its seventeenth consecutive year at KTH, Stockholm, Sweden.

During two intensive summer weeks at the KTH campus students will be able to learn and improve their skills in writing efficient programs for parallel scientific applications.

The course carries 7.5 ECTS (European Credit Transfer and Accumulation System), where 1.5 ECTS credits are equivalent to one week's workload of 40 hours. The student receives these credits on successful completion of the post-course project. Participants are strongly encouraged to bring their own problems or programs for discussion and to possibly use as the basis of the post-course project. Participants are provided with access to PDC's Lindgren (Cray XE6) system, the fastest supercomputer in the Nordics. Industrial participation is welcome. The number of seats for all participants is limited.

*Registration opens March 15 and closes June 1, 2012.*

*Outline*

A number of topics will be covered in overview lectures given by international experts and in- depth technical lectures followed by hands-on computer lab sessions. The course will consist of about 35 hours of lectures and 35 hours of computer lab sessions. Among the topics:

Parallel Programming (MPI, OpenMP, GPU)
Modern Computer Architectures
Parallel Algorithms
Efficient Programming
Case Studies

*Computer Laboratories*

Roughly half of the class time will be spent hands-on in the lab. The
lecturers and the PDC staff will assist in the computer labs. Students
who do not already have an account at PDC will receive one. These
accounts will stay active after the course so students may work on the
post-course project.