Software Performance
People
Course director
Description
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, experimentation and evaluation approaches, and data analysis and visualization techniques.
REFERENCES
- David J. Lilja. Measuring Computer Performance: A practitioner's guide
Education
- Master of Science in Financial Technology and Computing, Elective course, Lecture, 2nd year
- Master of Science in Informatics, Elective course, Lecture
- Master of Science in Software & Data Engineering, Core course, Lecture, 2nd year
- PhD programme of the Faculty of Informatics, Elective course, Lecture