- Introduction to Parallelism
- Performance Considerations
- Parallel Architectures
- Shared Memory
- Scalable Multi-Processors
- Interconnection networks
- Parallel Programming Methods and Techniques
- Task and Data parallelism
- Programming for performance
- Overview of programming techniques
- Multi-Core programming
- Properties of Multi-Core architectures
- Pthreads
- OpenMP
- Future Directions
- GPU, Accelerators
FDD3003 Parallel Computing: Theory - Hardware - Software with Special Focus on Multi-Core Programming 7.5 credits
Information per course offering
Information for Spring 2025 Start 17 Mar 2025 programme students
- Course location
KTH Campus
- Duration
- 17 Mar 2025 - 2 Jun 2025
- Periods
- P4 (7.5 hp)
- Pace of study
50%
- Application code
60763
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Places are not limited
- Target group
- No information inserted
- Planned modular schedule
- [object Object]
- Schedule
- Schedule is not published
- Part of programme
- No information inserted
Contact
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus FDD3003 (Spring 2019–)Headings with content from the Course syllabus FDD3003 (Spring 2019–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
The overall goal of the course is to give basic knowledge of the theory, hardware, and software approaches to parallel computing. Especially, hardware and software challenges and the interactions between them, as well as exposure to research challenges in this field will be emphasized.
After the course you will be able to:
- understand the properties of different parallel architectures
- reason about the performance of a system
- assess the potential and limitations of parallel processing
- chose between different parallelization techniques
- write parallel programs on multi-core machines.
Literature and preparations
Specific prerequisites
No information inserted
Recommended prerequisites
Either DD2358 or DD2356, Programming experience in C/C++, Optional: DD2360
Literature
You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
P, F
Examination
- EXA1 - Examination, 7.5 credits, grading scale: P, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Other requirements for final grade
Homework assignments for the first part of the program. Programming assignments and project work for the second half of the program.
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Main field of study
This course does not belong to any Main field of study.
Education cycle
Third cycle
Supplementary information
Target audience are interdisciplinary graduate students and researchers with needs of high performance and parallel computing.