IN9060 – Quantitative Performance Analysis
Course description
Course content
Understanding the limits of system performance and the bottlenecks of today's systems is challenging and vital to the deployment of any modern high-performance system. The course treats techniques you can apply to properly analyse system performance and further locate the bottlenecks in the system.
Learning outcome
After taking this course you?ll have knowledge of:
- demands and solutions with respect to performance in distributed systems and you'll have gained experience with designing and performing experiments
- experimenting with algorithms and architectures and experience with evaluating and improving performance
- how to present and visualise analysis data to highlight the most relevant results. Students and teachers will present and discuss the results in plenary sessions.
You will also have immersed yourself in a select subtopic of the course, which you will present to the other students.
Admission to the course
PhD candidates from the University of Oslo should apply for classes and register for examinations through?Studentweb.
If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included. Some national researchers’ schools may have specific rules for ranking applicants for courses with limited intake capacity.
PhD candidates who have been admitted to another higher education institution must?apply for a position as a visiting student?within a given deadline.
Overlapping courses
- 10 credits overlap with IN5060 – Quantitative Performance Analysis.
- 10 credits overlap with INF5072 – Performance in Distributed Systems (continued).
- 10 credits overlap with INF9072 – Performance in Distributed Systems (continued).
- 9 credits overlap with INF5071 – Performance in distributed systems (discontinued).
- 8 credits overlap with INF5070 – Media servers and distribution systems (discontinued).
- 7 credits overlap with INF-SERV.
Teaching
- Lectures: 24 hours (in sets of 4 hours)
- Group lectures: 12 hours (in sets of 3 blocks)
- Three oral, interactive poster presentations: 9 hours (in sets of 3 hours)
- Presentation is mandatory
- Attendance of all presentations is mandatory
- Only valid in the same semester
- Three home exams
- Report about platform-specific choices and performance achievements (graded)
- Working source code (graded)
- Discussions with the teachers on a special topic in preparation of the student-held lecture
?
Poster illustrating performance results (mandatory but not graded)
Examination
Graded mark will be handed out based on 3 graded assignments (home exam) with oral presentation that account for approximately 33% each. Failing a graded assignment does still allow participation in the remaining exams. All exams must be taken during the same semester.
In addition to the three graded home exams, PhD students will have to hold a lecture to the class based on a specific topic chosen in collaboration with the course teachers.
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:?IN5060 – Quantitative Performance Analysis, INF5072 – Performance in Distributed Systems (continued), INF5071 – Performance in distributed systems (discontinued), INF5070 – Media servers and distribution systems (discontinued), INF9072 – Performance in Distributed Systems (continued), INF-SERV
Examination support material
All, but no text or code must be copied verbatim from other sources
Language of examination
Subjects taught in English will only offer the exam paper in English.
You may write your examination paper in Norwegian, Swedish, Danish or English.
Grading scale
Grades are awarded on a pass/fail scale. Read more about the grading system.
More about examinations at UiO
- Use of sources and citations
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.