DT8105 - Computer Architecture 2


Lessons are not given in the academic year 2017/2018

Course content

The course is offered every second year (spring semester in odd numbered years).

Topics covered are multicore architectures, benchmarks and their use in computer architecture research, manycores, heterogeneous multicores and accellerators, architecture evaluation, design space exploration, simulation of computer systems, research prototypes, energy efficient memory hierarchies and HW/SW interplay. The students can to some extent influence on the choice of topics covered in the course.

Learning outcome

The main objective of the course is to train PhD students in advanced methods in computer architecture.
A. Knowledge: The candidate's knowledge about state of the art computer architectures and prototypes and main research methods in the field will be strengthened by the academic content listed above.
B. Skills: The candidate will be able to apply such research methods in both constructive and analytic work within computer architecture research. A critical attitude to simulation results is one example.
C. Competence: The candidate will get new knowledge and learn to build new knowledge within the field, and thus be trained to contribute in larger research or development projects within computer architecture.

Learning methods and activities

Mainly self-study, but possibly colloquia if enough students enroll in the course.

Course materials

Collection of papers decided at the start of the semester in cooperation with the students.

Credit reductions

Course code Reduction From To
DIF8912 7.5


Detailed timetable


  • * The location (room) for a written examination is published 3 days before examination date.
If more than one room is listed, you will find your room at Studentweb.