Parallel Computations for Large-Scale Problems
7.5 credits cr.
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Learn how to develop, select, and adapt algorithms and data structures for numerical and non-numerical problems.
The course will provide you with basic and advanced ideas and methods on how to use many processors efficiently to solve large-scale problems.
This course is given jointly with KTH, and you can find more information about the schedule, course literature etc. on KTH's pages - see links below.
The course consists of two elements; theory and practical exercises.
The education consists of lectures, and practical exercises.
The course is assessed through a written examination, and a written project report of the practical exercises. For information on how to register for exams at KTH, see:
A list of examiners can be found on
ScheduleThe schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.
Note that the course literature can be changed up to two months before the start of the course.