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Software Performance


This course teaches how the various layers of a computer system interact and affect the resulting performance. It performs two cuts down the system stack: one about the "state" and the other about the "behavior" of a system. The discussion of "state" investigates memory usage of applications, leak detection, garbage collection, virtual memory management, and cache performance. The discussion of "behavior" investigates call graphs, dynamic class loading, shared libraries and dynamic linking, control flow graphs, exception handling, compiler optimizations, and branch prediction. The course uses Java virtual machines and their internal operation as a running example and teaches basic static and dynamic program analysis techniques. Given the quantitative aspects of performance, the course introduces basic instrumentation and measurement tools, quantitative experimentation and evaluation approaches, and data analysis and visualization techniques.



Hauswirth M.

Course director

Rogora D.


Additional information

Academic year
Master of Science in Informatics, Core course, Lecture, 1st and 2nd year

PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st and 2nd year (4 ECTS)