• Offered by Research School of Computer Science
  • ANU College ANU College of Engineering and Computer Science
  • Course subject Computer Science
  • Areas of interest Computer Science, Information Technology
  • Academic career UGRD
  • Course convener
    • Dr Peter Strazdins
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2020
    See Future Offerings

A practically oriented introduction to programming paradigms for parallel computers. Considers definitions of program efficiency on parallel computers, addresses the modelling, analysis and measurement of program performance. Description, implementation and use of parallel programming languages, parallel features of operating systems, library routines and applications.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

At the completion of this course the student will:
  • Be proficient at programming multiple parallel machines in more than one special programming language or programming system
  • Be able to descriptively compare the performance of different programs and methods on one machine
  • Demonstrate advanced knowledge of the elements of parallel programming language and system implementation
  • Recall the history of parallel systems and describe the developments in the field

Other Information

Course offered in alternate odd-numbered years.

Indicative Assessment

Assignments (30%); Laboratories (20%); Final Exam (50%)

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

Thirty one-hour lectures, six two-hour tutorial/laboratory sessions

Requisite and Incompatibility

To enrol in this course you must have completed COMP2310 and 6 units of 2000 level COMP courses; and 6 units of COMP2600 or 6u of 2000 level MATH courses. You are not able to enrol in this course if you have successfully completed COMP8300.

Prescribed Texts

Lin, C. & Snyder, L., Principles of Parallel Programming, Pearson International Edition.

Grama, A., Gupta, A., Karypis, G. & Kumar,V., Introduction to Parallel Computing, 2nd Edition, Addison-Wesley, 2003.

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
Domestic fee paying students
Year Fee
2020 $4320
International fee paying students
Year Fee
2020 $5760
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
4587 24 Feb 2020 02 Mar 2020 31 Mar 2020 29 May 2020 In Person N/A

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