This unit will next be offered in 2018. This unit is offered in Launceston subject to minimum enrolments.
This unit exposes students to historical approaches to increased processor efficiency, such as pipelining and superscalar design, before concentrating on a key concept of modern computer architectures: multicores. Both CPU and GPU architectures will be explored in this context and likely future hardware trends will be discussed.
Students will learn the concepts and techniques for writing CPU multithreaded programs via the use of threading and synchronisation primitives as well as techniques for general-purpose GPU programming (GPGPU).
A major focus of this unit is real world optimisation. Students will be exposed to data-oriented design approaches, revisit the concepts of Big-O efficiency and OO, and will get practical experience at profiling code. Additionally, students will learn lower-level programming techniques such as single-instruction multiple-data (SIMD) instructions, branch removal, and loop unrolling.
|Unit name||Advanced Multicore Architecture and Programming|
|Faculty/School||College of Sciences and Engineering
School of Technology, Environments and Design
|Discipline||Information & Communication Technology|
|Available as student elective?||Yes|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
Please check that your computer meets the minimum System Requirements if you are attending via Distance/Off-Campus.
Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
Special approval is required for enrolment into TNE Program units.
|Study Period||Start date||Census date||WW date||End date|
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Unit census dates currently displaying for 2019 are indicative and subject to change. Finalised census dates for 2019 will be available from the 1st October 2018.
|Band||CSP Student Contribution||Full Fee Paying (domestic)||Field of Education|
|2||2019: $1,169.00||2019: $2,321.00||029999|
Fees for next year will be published in October. The fees above only apply for the year shown.
Please note: international students should refer to this page to get an indicative course cost.
(Enrolled in an honours degree or DN/HD in two level 400/500/600/700 units) and equivalent of intermediate level programming skills
You cannot enrol in this unit as well as the following:
- KXG365, KIT308
2hrs lectures, 2hr tutorials (early in semester there will be 4hrs of lectures, late in semester there will be 4hrs of tutorials)
40% exam, 60% in-semester (4 assignments woth 15% each)
|Timetable||View the lecture timetable | View the full unit timetable|
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The University reserves the right to amend or remove courses and unit availabilities, as appropriate.