The course is organized into four modules:
- High-Performance Architectures
- Programming with OpenMP
- Programming with MPI
- Programming with CUDA
An assignment is associated with each module of the course.
FDD3258 Introduction to High Performance Computing 7.5 credits
This course provides the skills needed to utilize high-performance computing (HPC) resources, and includes an introduction to a range of important topics, such as: - Modern HPC architectures - Shared memory programming with OpenMP - Distributed memory programming with MPI - GPU Programming with CUDA
Information per course offering
Information for Spring 2025 Start 14 Jan 2025 programme students
- Course location
KTH Campus
- Duration
- 14 Jan 2025 - 16 Mar 2025
- Periods
- P3 (7.5 hp)
- Pace of study
50%
- Application code
60761
- 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
Bo Peng (bopeng@kth.se)
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus FDD3258 (Spring 2020–)Information for research students about course offerings
The course is offered in the first period of the academic year (P1).
Headings with content from the Course syllabus FDD3258 (Spring 2020–) are denoted with an asterisk ( )
Content and learning outcomes
Course disposition
Course contents
This course provides the skills needed to utilize high-performance computing (HPC) resources, and includes an introduction to a range of important topics, such as:
- Modern HPC architectures
- Shared memory programming with OpenMP
- Distributed memory programming with MPI
- GPU Programming with CUDA
Intended learning outcomes
At the end of this course, the student will be able to:
- describe high-performance architectures including GPUs
- design and implement code with OpenMP to use efficiently shared memory systems
- design and implement code with MPI to use efficiently supercomputers
- design and implement code with CUDA to use efficiently systems with GPUs
- analyze the performance and efficiency of different programming approaches
Literature and preparations
Specific prerequisites
The course is suitable for third-cycle students who are interested in high-performance computing.
Recommended prerequisites
Basic knowledge of Linux command, C/C++ or Fortran languages is required.
Equipment
Access to KTH PDC supercomputers will be provided.
Literature
Lectures slides and additional material will be provided during the course.
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.
Four assignments must be passed in order to pass the course.
Other requirements for final grade
Four assignments must be passed in order to pass the course.
Opportunity to complete the requirements via supplementary examination
No information inserted
Opportunity to raise an approved grade via renewed examination
No information inserted
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
Add-on studies
No information inserted
Contact
Bo Peng (bopeng@kth.se)