Programming of parallel computers - methods and tools
"Students graduating with a competence in engineering software
for parallel systems
will have a distinct advantage in the work force over those who do not."
--- M. Oskin, The Revolution Inside the Box, Comm. ACM 51(7), July 2008
- The course is full for 2016
As of 14 jan 2016, the course is fully booked, and there is a waiting list.
Students who are registered on TDDC78 but do not intend to take the course this year please deregister (and inform me or the studierektor SaS) so that someone else can take your spot.
If you are not registered but would like to take the course this year, please contact first the studierektor to get approval with respect to prerequisite knowledge, who will contact the examinator Christoph Kessler for inclusion in the waiting list.
After the first week of the course, we will see how many of the registered students actually subscribed for the labs, and fill spare places from the waiting list in FIFO order.
Students on the waiting list must speculatively attend the lectures of the first week and register for NSC supercomputer access in SUPR and hand in passport copies etc. to NSC in the same way as the registered participants, otherwise we cannot upgrade you to regular participants after the first week.
Make sure that you are properly registered on the course.
Note that lecture notes will be made available electronically to registered participants only, and the NSC lab computers will only be accessible to registered participants.
If you forgot to register, please contact the studierektor Ahmed Rezine immediately.
It is not possible to jump on the course after the first week.
The web pages are being updated for 2016.
- The former sister course TANA77 (Programming parallel computers, scientific computing) at the mathematics department does no longer exist since 2010. We still cover parallel scientific computing in TDDC78, but the TANA77 labs are no longer offered. Former TANA77 students with unfinished labs please contact Henrik Branden (MAI).
AcknowledgmentThe laborations in this course are performed on resources provided by the Swedish National Infrastructure for Computing (SNIC) at National Supercomputing Centre (NSC) Linköping.
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Last updated: 2016-01-14