ENGR7731 Computer Architecture

Dr Jonathan Wheare

2017

4.5

1 x 120-minute lecture weekly
1 x 60-minute tutorial weekly
1 x 120-minute project work weekly

1 ENGR3701 - Computer Organisation and Design
2 Admission into GDPEE-Graduate Diploma in Engineering (Electronics)
2a Admission into HBSC-Bachelor of Science (Honours)
2b Admission into GDPEB-Graduate Diploma in Engineering (Biomedical)
2c Admission into HBIT-Bachelor of Information Technology (Honours)
2d Admission into BENGCH-Bachelor of Engineering (Computer Systems) (Honours)
2e Admission into MEB-Master of Engineering (Biomedical)
2f Admission into BENGCNSH-Bachelor of Engineering (Computer and Network Systems) (Honours)
2g Admission into MEEE-Master of Engineering (Electrical and Electronic)
Must Satisfy: ((1) or ((2 or 2a or 2b or 2c or 2d or 2e or 2f or 2g)))

ENGR4731 has been successfully completed

ENGR2721 Microprocessors or ENGR2171 Microprocessors. Students undertaking the one year honours programs should check to make sure they have the appropriate background from their undergraduate degree/s.

Instruction-set design
Instruction level-parallelism and Dynamic Scheduling
Memory hierarchy; cache memory; virtual memory
Bus management
System peripherals
Multiprocessor Architectures and Interconnect
Thread-Level Parallelism
DSP/GPU architectures

The aim of this topic is to introduce students to the design of modern microprocessor based systems. The various component modules of a microprocessor system are studied with a view to understanding their interaction and implementation issues. Laboratory-based sessions are used to familiarise students with the use of Digital Signal Processor (DSP) and Graphical Processing Unit (GPU) architectures.

At the completion of the topic, students are expected to be able to:

Measure and objectively evaluate machine performance
Identify and realise optimal implementation strategies to meet specific computing performance requirements
Understand strategies for interfacing microprocessor system components
Understand the architectural concepts and merits of DSP and GPU devices
Demonstrate capability in developing optimized algorithms for real-time implementation on a DSP architecture
Adapt to future trends in computer architecture design
Commence further industry / academic training in research and development in the field of computer architecture and other related disciplines
Work independently and also as a member of a project team

Key dates and timetable

Timetable details for 2017 are no longer published.

This information is from current details held on the Student Information System. Please report any errors or omissions to the relevant College Office.