Syllabus for Advanced Computer Architecture
- 10 credits
- Course code: 1DT024
- Education cycle: Second cycle
Main field(s) of study and in-depth level:
Computer Science A1N,
Embedded Systems A1N
Explanation of codes
The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:
- G1N: has only upper-secondary level entry requirements
- G1F: has less than 60 credits in first-cycle course/s as entry requirements
- G1E: contains specially designed degree project for Higher Education Diploma
- G2F: has at least 60 credits in first-cycle course/s as entry requirements
- G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
- GXX: in-depth level of the course cannot be classified
- A1N: has only first-cycle course/s as entry requirements
- A1F: has second-cycle course/s as entry requirements
- A1E: contains degree project for Master of Arts/Master of Science (60 credits)
- A2E: contains degree project for Master of Arts/Master of Science (120 credits)
- AXX: in-depth level of the course cannot be classified
- Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Established: 2010-03-18
- Established by:
- Revised: 2018-08-30
- Revised by: The Faculty Board of Science and Technology
- Applies from: Spring 2019
120 credits including 90 credits in computer science and mathematics with Computer Architecture or the equivalent. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Responsible department: Department of Information Technology
On completion of the course, the student should be able to:
- Account and argue for how modern computer systems are designed, including details about pipeline, memory organisation, virtual and physical memory, and memory technology.
- Account and argue for techniques to create and use instruction-level parallelism, memory-level parallelism, and thread-level parallelism.
- Account and argue for the design and programming of multiprocessor systems and shared memory, especially taking coherence and memory modules into account.
- Construct effective synchronisation primitives.
- Account and argue for reasons that delimit computer systems with regard to bandwidth, energy consumption and cooling.
- Account and argue for design of multiprocessor systems of combination of SIMD and MIMD structures, especially with graphic processors and other types of accelerating devices, including programming them.
- Account and argue for desirable characteristics, such as energy efficient and reliable, and how they are achieved in embedded systems, PC and servers for commercial and scientific computing.
The course has an emphasis on modern parallel computer systems (today multicores and graphic processors) and programming them. Areas covered are memory system organisation, principles for multiprocessor systems, and a detailed coverage of the design of a CPU.
Lectures and labs.
Assignments and written exam.
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.
- Latest syllabus (applies from Spring 2019)
- Previous syllabus (applies from Spring 2014)
- Previous syllabus (applies from Spring 2011)
- Previous syllabus (applies from Autumn 2010)
The reading list is missing. For further information, please contact the responsible department.