Syllabus for Low-Level Parallel Programming
- 5 credits
- Course code: 1DL550
- Education cycle: Second cycle
Main field(s) of study and in-depth level:
Computer Science A1N
Explanation of codes
The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:
- G1N: has only upper-secondary level entry requirements
- G1F: has less than 60 credits in first-cycle course/s as entry requirements
- G1E: contains specially designed degree project for Higher Education Diploma
- G2F: has at least 60 credits in first-cycle course/s as entry requirements
- G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
- GXX: in-depth level of the course cannot be classified
- A1N: has only first-cycle course/s as entry requirements
- A1F: has second-cycle course/s as entry requirements
- A1E: contains degree project for Master of Arts/Master of Science (60 credits)
- A2E: contains degree project for Master of Arts/Master of Science (120 credits)
- AXX: in-depth level of the course cannot be classified
- Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Established: 2014-03-13
- Established by:
- Revised: 2018-08-30
- Revised by: The Faculty Board of Science and Technology
- Applies from: Spring 2019
120 credits including 60 credits in computer science, including a second course in computer programming and programming in C. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Responsible department: Department of Information Technology
On completion of the course, the student should be able to:
- explain key issues of parallel programming, including data distribution, load balancing, locking and synchronisation
- construct parallel algorithms, i.e., identify parallelism in a given algorithm, implement this parallelism, and identify factors that limit the parallelism in a program or algorithm
- compare several parallel programming frameworks in terms of performance and efficiency of development
- use several high-performance parallel programming frameworks and choose an appropriate framework under given circumstances such as computer architecture, application and efficiency
Introduction to parallel programming and hardware. Key issues such as data distribution, load balancing, locking and synchronisation. Parallel and concurrent algorithms, factors that limit parallelism. Different parallel programming frameworks, and their pros and cons, are introduced and compared.
Lectures and seminars. Mandatory lectures may occur.
Active participation in seminars. Oral and written assessment 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.
- Latest syllabus (applies from Spring 2019)
- Previous syllabus (applies from Autumn 2014)
The reading list is missing. For further information, please contact the responsible department.