IN3200 – High-Performance Computing and Numerical Projects
Changes in the course due to coronavirus
Autumn 2020 we plan for teaching and examinations to be conducted as described in the course description and on semester pages. However, changes may occur due to the corona situation. You will receive notifications about any changes at the semester page and/or in Canvas.
Spring 2020: Teaching and examinations was digitilized. See changes and common guidelines for exams at the MN faculty spring 2020.
In this course, you will learn about the basic concepts of parallel programming and high performance computing (high performance computing), as well as the most basic communication commands in MPI and OpenMP programming guidelines. Students will gain the knowledge they need to effectively use modern data architecture to solve computationally high-tech scientific issues. Such knowledge is necessary in all subjects within computer science. In this course you will learn about understanding in the development and use of digital systems. You learn about different systems, the needs of users, and the societal importance of the systems and you learn how systems are developed from a software engineering perspective.
After taking this course you will be:
- able to effectively use laptop / desktop computers to solve informational issues
- able to extend appropriate numeric code to computer clusters
- informed about groundbreaking non-CPU hardware
- possessing basic knowledge of advanced parallel computing
Admission to the course
Students at UiO register for courses and exams in Studentweb.
Formal prerequisite knowledge
MAT1100 (or its equivalent) and at least one of the corresponding computing and programming courses:
INF1000/IN1000/INF1010/IN1010 or MAT-INF1100/MAT-INF1100L/BIOS1100/IN-KJM1900
Recommended previous knowledge
- 10 credits overlap with IN4200 – High-Performance Computing and Numerical Projects.
- 5 credits overlap with INF3380 – Parallell programming for scientific problems (continued).
4 hours of lectures each week and 2 hours of group/lab each week for practical assignments and calculation projects.
Required submission of:
- a mandatory partial exam: a completed numerical problem, calculated for use with a common memory computer system
- a project with the ability to configure an individual project for each student with regard to the numerical problem, target parallel hardware and programming language
4 hours final written digital exam constituting 60% of the final grade, while the mandatory partial exam and the project each is worth 20% of the final grade. All mandatory assignments must be passed before the exam.
It will also be counted as one of your three attempts to sit the exam for this course, if you sit the exam for one of the following courses: IN4200 – High-Performance Computing and Numerical Projects
Examination support material
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.
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.