Entry requirements

120 credits including 60 credits in computer science including Low-level Parallel Programming and participation in Advanced Computer Architecture. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Learning outcomes

On completion of the course, the student should be able to:

• analyse programs for efficient use of computational resources, including cache, memory bandwidth, CPUs, and energy
• use profiling tools for energy and performance
• apply profiling and optimisation techniques to a program to improve its efficiency
• determine achieved efficiency as a fraction of the system's and application's potential

Content

Introduction to one or more complex, computationally intensive applications. Introduction to profiling and measurement techniques for performance and energy. Optimisation techniques.

Instruction

Online lectures, seminars, project.

Assessment

Oral and written presentation of assignments and project.

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.