INF3380 – Parallell programming for scientific problems
Schedule, syllabus and examination date
Course content
The course teaches the fundamental concepts in parallel programming, such as work load division, communication, speedup and typical parallel architectures. The most basic communication commands in MPI and programming directives in OpenMP will be taught. Use of multicore PCs and PC clusters will also be lecture, together with a brief description about programming GPUs for parallel computing.
Learning outcome
After finishing INF3380:
- you will have good knowledge about the design of parallel algorithms
- you will have basic skills in MPI and OpenMP programming
- you will be able to carry out analysis of typical parallel algorithms
- you will be able to write simple parallel programs
- you can by yourself learn to use a cluster of computers
- you can by yourself learn to use existing parallel software
Admission
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
Prerequisites
Formal prerequisite knowledge
In addition to fulfilling the Higher Education Entrance Qualification, applicants have to meet the following special admission requirements:
- Mathematics R1 or Mathematics (S1+S2)
The special admission requirements may also be covered by equivalent studies from Norwegian upper secondary school or by other equivalent studies. Read more about special admission requirements (in Norwegian).
INF1000 – Introduction to object-oriented programming (continued)/INF1100 – Introduction to programming with scientific applications (continued)
Recommended previous knowledge
It is recommended that you have experience with C/C++-programming.
Teaching
2 hours of lecture and 2 hours of exercises/computer lab each week. Mandatory assignments must be approved during the course. Rules for mandatory assignments.
Examination
4 hour written digital examination at the end of the semester (counts 100% of the grade). The mandatory assignments must be approved prior to the exam.
Examination support material
No examination support material is allowed.
Grading scale
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Explanations and appeals
Resit an examination
Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester.
Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.
Withdrawal from an examination
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
Other
It is strongly recommended to attend the first lecture since it will be given important information.