Parallel Computations for Large-Scale Problems
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.
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Course structure
The course consists of two elements; theory and practical exercises.
Teaching format
The education consists of lectures, and practical exercises.
Assessment
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:
Examiner
A list of examiners can be found on
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Schedule
The 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. -
Course literature
Note that the course literature can be changed up to two months before the start of the course.
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More information
New student
During your studiesCourse web
Registered students get access to the KTH course web in Canvas.
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Contact
