There are no plans to run this course in the next couple of years. Do not plan on taking this course as a part of the Computer Engineering Major.
This course is a practical introduction to large-scale multicore computing. It covers the principles and practices of contemporary and emerging multicore computers, with an emphasis on their impact upon software engineering practice. It also has an emphasis on the state-of-the-art of research which is driving the rapid evolution of these systems.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
At the completion of the course, students will be able to:
- Recognize the issues involved in the design of hardware and programming languages for multicore systems, and employ algorithms and data structures for applications that are efficient on large-scale systems.
- Employ at least two programming languages used on multicore systems and evaluate their program's reliability and scalability.
- Specify the research issues driving multicore technology, and be able to assimilate and understand the impact of current literature.
Indicative Assessment
Assignments 50%, Final Exam 50%.
In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle.
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Workload
There will be one two-hour lecture per week (20 lectures in total), 8 two-hour tutorial / laboratory sessions.Requisite and Incompatibility
Prescribed Texts
Recommended reading includes:
Professional Multicore Programming: Design and Implementation for C++ Developers, Cameron Hughes and Tracey Hughes, Wiley, ISBN: 978-0-470-28962-4, 2008.
Multicore Application Programming, Daryl Gove, ISBN0-321-71137-8, Addison Wesley, 2011.
Specialisations
Fees
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- 2
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2020 | $4320 |
- International fee paying students
| Year | Fee |
|---|---|
| 2020 | $5760 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
