High Performance Programming
Syllabus, Master's level, 1TD062
- Code
- 1TD062
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Computational Science A1N, Computer Science A1N, Technology A1N
- Grading system
- Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Finalised by
- The Faculty Board of Science and Technology, 10 March 2016
- Responsible department
- Department of Information Technology
Entry requirements
120 credits in science/engineering including Scientific Computing II, 5 credits, a second course in computer programming and 30 credits in mathematics. Scientific Computing II may be replaced by Scientific Computing, bridging course or Numerical Methods and Simulation or Scientific Computing and Calculus.
Learning outcomes
To pass, the student should be able to
- implement computational algorithms to efficient C-code for modern computer architectures;
- use tools for performance optimisation and debugging;
- propose and implement efficient performance optimisations;
- identify factors that restrict parallelism in an algorithm or a program;
- present written performance analysis in a clear and explicit way.
Content
Programming in C/C++ under Linux/Unix. Parallel programming with OpenMP and Pthreads. Task-based programming. Tools and methods for problem solving, software development, debugging and performance analysis. Different types of computer architectures and memory organisations. Efficient implementations of numerical methods on modern computer architectures. Applications from different areas in science and engineering.
Instruction
Lectures, computer labs, assignments and projects.
Assessment
Assignments and projects reported both as written reports and orally.