Search for contacts, projects,
courses and publications

Advanced Computer Architectures

Description

COURSE OBJECTIVES

Learn about the major architectural ideas that have made the incredible growth rate of modern microprocessors possible.

 

COURSE DESCRIPTION

The course builds on basic previous knowledge in basic computer architecture, and visits the major techniques that have been devised so far in order to get high performance from a single processor, and, later on, from multi-processors. After the course you will understand 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.

 

LEARNING METHODS

Lectures, Assignments, Exams

 

EXAMINATION INFORMATION
Midterm written exam, and Final written exam. Assignments will also be given.

 

REFERENCES

  • J. Hennessey, D. Patterson: Computer Architecture: a quantitative approach. Morgan-Kaufmann Publishers.

People

 

Pozzi L.

Course director

Additional information

Semester
Spring
Academic year
2020-2021
ECTS
6
Language
English
Education
Master of Science in Artificial Intelligence, Elective course, Lecture, 1st year
Master of Science in Artificial Intelligence, Elective course, Lecture, 2nd year
Master of Science in Computational Science, Elective course, Lecture, 1st year
Master of Science in Computational Science, Elective course, Lecture, 2nd year
Master of Science in Informatics, Elective course, Lecture, 1st year
Master of Science in Informatics, Elective course, Lecture, 2nd year