Courses & Units

Multicore Architecture and Programming KIT308



Note: This unit will only have online classes in 2022. All lectures and tutorials will be available online only.


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 Multicore Architecture and Programming
Unit code KIT308
Credit points 12.5
College/School College of Sciences and Engineering
School of Information and Communication Technology
Discipline Information & Communication Technology
Coordinator Doctor Ian Lewis
Available as student elective? Yes
Delivered By University of Tasmania
Level Advanced


Location Study period Attendance options Available to
Hobart Semester 2 On-Campus Off-Campus International International Domestic Domestic


International students
Domestic students

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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.

Key Dates

Study Period Start date Census date WW date End date
Semester 2 11/7/2022 9/8/2022 29/8/2022 16/10/2022

* 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 2022 are indicative and subject to change. Finalised census dates for 2022 will be available from the 1st October 2021.

About Census Dates

Learning Outcomes

  • understand the concepts of high performance computer architecture and analyze the local and global impact of these technologies on individuals, organizations, and society
  • design, implement, and evaluate techniques for the creation of efficient multicore CPU programs
  • design, implement, and evaluate techniques for the creation of efficient GPU programs
  • analyze a problem, identify and define the requirements, apply knowledge of high performace programming principles and technical skills to develop and evaluate strengths and weaknesses of potential solutions
  • take initiative and work independently
  • communicate effectively at a professional level
  • use abstraction and computational, creative and critical thinking to problem solve
  • continue lifelong learning
Field of Education Commencing Student Contribution 1 Grandfathered Student Contribution 1 Approved Pathway Course Student Contribution 2 Domestic Full Fee
029999 $1,002.00 $1,002.00 not applicable $2,402.00
  • Available as a Commonwealth Supported Place
  • HECS-HELP is available on this unit, depending on your eligibility3
  • FEE-HELP is available on this unit, depending on your eligibility4

1 Please refer here more information on student contribution amounts.
2 Information on eligibility and Approved Pathway courses can be found here
3 Please refer here for eligibility for HECS-HELP
4 Please refer here for eligibility for FEE-HELP

If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.

Please note: international students should refer to this page to get an indicative course cost.



KIT205 OR KIT206 OR (KIT207 AND KIT208)


Teaching Pattern

Lectures: 2 - 4 hours / week
Practicals: 2 hours / week

AssessmentExamination (40%)|Multicore CPU Programming Assignment (15%)|CPU Optimisation Programming Assignment (15%)|GPU Programming Assignment (15%)|In-Tutorial Assessment (15%)
TimetableView the lecture timetable | View the full unit timetable






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