Advanced Computer Architectures
People
Course director
Ferretti L.
Assistant
Description
The course builds on previous knowledge in basic computer architecture, and visits the major techniques devised to get higher performance from a single processor, and, later on, from multi-processors. It describes the concepts of pipelined CPUs, cache architecture and optimization, Instruction-Level parallelism (Superscalar and VLIW architectures), Thread-Level parallelism (fine-grained, coarse-grained, simultaneous multithreading), Data-level parallelism (Vector architectures), and shared-memory multi-processing. The course also includes a project where the Simplescalar and Watch simulation tools are used to perform design-space exploration, and to understand the tradeoffs that computer architects must consider between performance and cost.
REFERENCES
- J. Hennessey, D. Patterson "Computer Architecture: a quantitative approach" 5th edition, Morgan-Kaufmann Publishers.
Education
- Master of Science in Artificial Intelligence, Elective course, Lecture, 1st year
- Master of Science in Computational Science, Elective course, Lecture
- Master of Science in Informatics, Elective course, Lecture
- PhD programme of the Faculty of Informatics, Elective course, Lecture