Advanced Computer Architecture, 6 credits (TDTS08)
Datorarkitektur, 6 hp
Main field of study
Computer Science and Engineering Electrical EngineeringLevel
Second cycleCourse type
Programme courseExaminer
Zebo PengDirector of studies or equivalent
Ahmed RezineAvailable for exchange students
YesMain field of study
Computer Science and Engineering, Electrical EngineeringCourse level
Second cycleAdvancement level
A1XCourse offered for
- Computer Science, Master's Programme
- Computer Science and Engineering, M Sc in Engineering
- Information Technology, M Sc in Engineering
- Applied Physics and Electrical Engineering - International, M Sc in Engineering
- Applied Physics and Electrical Engineering, M Sc in Engineering
- Electronics Engineering, Master's programme
Entry requirements
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.
Prerequisites
Computer Hardware and Architecture
Intended learning outcomes
The aim of the course is to present how modern computer systems work and are built. The students should learn the advanced concepts and principle of computer architecture and organization, as well as methods developed in order to improve the performance of current microprocessors and parallel systems. The students, when finishing the course, should be able to analyze a computer to extract its basic architectural features, and understand how its components work together to accomplish the computation tasks efficiently.
Course content
Instruction set, memory management and hierarchy, input/output and buses, pipelining techniques, branch prediction, RISC architectures, VLIW architectures and specific compiling techniques, superscalar architectures, out of order execution, parallel architectures and multiprocessors.
Teaching and working methods
The course is organized as a set of lectures and laboratory exercises.
Examination
| TEN1 | Written examination | U, 3, 4, 5 | 4 credits |
| LAB1 | Laboratory work | U, G | 2 credits |
Grades
Four-grade scale, LiU, U, 3, 4, 5Department
Institutionen för datavetenskapDirector of Studies or equivalent
Ahmed RezineExaminer
Zebo PengEducation components
Preliminär schemalagd tid: 48 hRekommenderad självstudietid: 112 h
Course literature
Kompletterande litteratur
Böcker
A list of recommended literature will be available in the course information.
Additional literature
Books
A list of recommended literature will be available in the course information.
| TEN1 | Written examination | U, 3, 4, 5 | 4 credits |
| LAB1 | Laboratory work | U, G | 2 credits |
Regulations (apply to LiU in its entirety)
The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.
LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.
This tab contains public material from the course room in Lisam. The information published here is not legally binding, such material can be found under the other tabs on this page. There are no files available for this course.
Page responsible:
Info Centre, infocenter@liu.se