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High Performance Parallel Programming

Master's level | 7.5 credits | Course code: DIT431
Autumn 2020
50% Day
Period: 31 August 2020 - 1 November 2020
2) Only EU/EEA citizens and students with approved residence permit in Sweden can apply

About the Course

This course looks at parallel programming models, efficient programming methodologies and performance tools with the objective of developing highly efficient parallel programs.
The course consists of a set of lectures and laboratory sessions.
The lectures start with an overview of parallel computer architectures and parallel programming models and paradigms. An important part of the discussion are mechanisms for synchronization and data exchange. Next, performance analysis of parallel programs is covered.
The course proceeds with a discussion of tools and techniques for developing parallel programs in shared address spaces. This section covers popular programming environments such as pthreads and OpenMP.
Next the course discusses the development of parallel programs for distributed address space. The focus in this part is on the Message Passing Interface (MPI). Finally, we discuss programming approaches for executing applications on accelerators such as GPUs. This part introduces the CUDA (Compute Unified Device Architecture) programming environment.
The lectures are complemented with a set of laboratory sessions in which participants explore the topics introduced in the lectures. During the lab sessions, participants parallelize sample programs over a variety of parallel architectures, and use performance analysis tools to detect and remove bottlenecks in the parallel implementations of the programs.

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Course Syllabus


Requirements and Selection

Requirements: To be eligible for the course, students should have successfully completed courses corresponding to 105 credits within the subject of Computer Science, Mathematics, Software Engineering, or equivalent.
Including a 7.5 credits course in machine-oriented programming (e.g., DIT151 Machine Oriented Programming, or equivalent).

Applicants must prove knowledge of English: English 6/English B or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.

Selection: Selection is based upon the number of credits from previous university studies, maximum 225 credits.

Tuition Fee

Application fee: 900 SEK
Full course cost: 17 875 SEK
First payment: 17 875 SEK

EU/EEA citizens, Swedish residence permit holders and exchange students do not pay fees. More information on: http://www.universityadmissions.se

Study Guidance



Department of Computer Science and Engineering
41296 Göteborg

Visiting address: Rännvägen 6 B

Page Manager: Pontus Sundén
Last update: 2/18/2020 2:41 PM

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Page Manager: Pontus Sundén|Last update: 10/16/2018

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