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.
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.
