Please note - Swinburne University of Technology

~~744 Design and Project
No. of hours per week: four hours
Prerequisites: satisfactory completion of the first
year of the Graduate Diploma in Computer
Systems Engineering or a four year degree in
engineeringlscience
Instruction: supervision of projectlseminars
Assessment: minor thesislseminars
Subject aims
After completing this subject the student should be able to
implement and document a computer system design.
Subject description
The student may choose any appropriate computer systems
engineering design project, subject to the subject conveners
approval. Work related projects are encouraged. The project
may include both hardware and software components.
The student will have a nominated supervisor who approves
the initial project specification and gives advice on the
approach and method being used. The student is responsible
for setting attainable targets and deadlines and achieving
them.
Students will be required to present their project results in a
seminar.
~~745 High Performance Computer
Architectures
No. of hours per week: four hours
Prerequisites: satisfactory completion of the first
year of the Graduate Diploma in Computer
Systems Engineering or a four year degree in
eingineering/science
Instruction: lecturellaborator~
Assessment: laboratory/tuto6al exercised
tests
Subject aims
The aim of the subject is for students to develop a sound
understanding of the available computer architectures and
their application areas.
Subject description
The topics to be covered in this subject are:
historical perspective
taxonomy
MlMD architectures
SIMD architectures
pipelining techniques
memory organisation
communication networks
References
ACM Transa&ions on Computer Architecture
IEEE Transactions on Parallel and Distributed Systems
Manufacturer3 Programming Manuals
Brawe< 5. Introduction to Parallel Programming. Boston, Academic
Press, 1989
Stone, H.S. High Performance Computer Architecture. 3rd edn,
Reading, Mass., Addison-Wesley, 1993
Stone, H.S. Structured Computer Organisation. Prentice Hall, 1990
~~746 Parallel Programming Techniques
No. of hours per week: four hours
Prerequisites: satisfactory completion of the first
year of the Graduate Diploma in Computer
Systems Engineering or a four year degree in
engineeringlscience
Instruction: lecture/video presentations/
laboratory
Assessment: laboratory exercises and
assignmentdtests
Subject aims
The aim of the subject is for students to develop a sound
understanding of the parallel computing and its application to
diverse areas.
Subject description
The topics to be covered in this subject are:
implicit and explicit parallel programming
vectorisation
parallel decomposition
memory allocation
communications/computation trade-offs
optimising for pipelined scalar processors
visualisation tools and debugging techniques
References
ACM Transactions on Computer Architecture
Brawer, 5. Introduction to Parallel Programming. Boston, Academic
Press, 1989
IEEE Transactions on Parallel and Distributed Systems
Manufacturer's Programming Manuals
Stone, H.S. High Performance Computer Architecture. 3rd edn,
Reading, Mass., Addison-Wesley, 1993
Stone, H.S. Structured Computer Organisation. Prentice Hall, 1990
~~747 Discrete Time Control Systems
No. of hours per week: four hours
Prerequisites: satisfactory completion of the first
year of the graduate diploma course in computer
systems engineering or a four year degree in
engineeringlscience
Instruction: lecture1tutoriaIdlaboratory
Assessment: laboratory exercised
assignmenwtests
Subject aims
The aim of the subject is to reinforce the fundamental
principles of closed loop control systems and to introduce the
concept of discrete time control. To develop time and
frequency domain techniques for the analysis of continuous
and discrete time systems and to study the criteria for stability.
Subject description
System modelling:
Derivation of a differential equation to describe the dynamic
behaviour of a continuous time electromechanical system. The
use of transfer function techniques and state variable
techniques to analyse the performance of a system. Derivation
of a difference equation to describe the behaviour of a
discrete time system and the use of Z-transforms and state
variable techniques as analysis tools.
Closed loop control:
The use of frequency domain and root locus techniques to
study the performance of a closed loop control system.
Stability criteria and steady state error analysis using the above
analysis tools.