There are no plans to run this course in the next few years. Do not plan on taking this course as a part of the Computer Systems Specialisation.
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.
Upon successful completion, students will have the knowledge and skills to:
Students will have an understanding of the issues involved in the design of hardware and programming languages for multicore systems, and be able to employ algorithms and data structures for applications that are efficient on large-scale systems. They will be proficient in at least two programming languages used on multicore systems, and will be able to evaluate their program's reliability and scalability. Students will have an understanding of the research issues driving multicore technology, and be able to assimilate and understand the impact of current literature.
Assignments 30%, Research Presentation 20%, 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.
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WorkloadThere will be one two-hour lecture per week (20 lectures in total), 4-6 two-hour tutorials (based on selected readings), and 6 two-hour practical laboratory sessions.
Requisite and Incompatibility
Maurice Herlihy and Nir Shavit, The Art of Multiprocessor Programming, Morgan Kaufmann, 2008.
Cameron Hughes and Tracey Hughes, Professional Multicore Programming: Design and Implementation for C++ Developers, Wiley, 2008.
Assumed knowledge is equivalent to having done the equivalent of an introductory course on computer architecture, a course on concurrency, and intermediate programming and data structure courses.
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:
- 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.