Language Abstractions for Concurrent and Parallel Programming
Syllabus, Master's level, 1DL541
- Code
- 1DL541
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Computer Science A1F
- Grading system
- Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Finalised by
- The Faculty Board of Science and Technology, 9 March 2017
- Responsible department
- Department of Information Technology
Entry requirements
120 credits of which at least 60 in computer science, including Introduction to Parallel Programming. Functional programming is recommended.
Learning outcomes
To pass the course, the student should be able to
- write and modify programs using different models and language abstractions for concurrent and parallel programming,
- analyse models with respect to which specific problems they address, where they can be used and where they should be avoided,
- explain the difference between a model and its implementation in a specific language,
- explain how some languages implement hybrids or multiple models and how these can interact.
Content
Some different models for concurrency and parallel programming, e.g., transactional memories, actors, side-effect-free combinators and map-reduce. Implementation and use of these models in different programming languages, such as C++, Java, Erlang. Strengths and weaknesses of the models.
Closer study of a model and its implementation in some language to be used as a basis for comparisons between models.
Instruction
Lectures, labs, tutoring.
Assessment
Oral and written assessment of assignments.
Other directives
The course cannot be included in the same degree as 1DL540.
Reading list
No reading list found.