• Offered by School of Computing
  • 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
    • AsPr Peter Strazdins
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2021
    See Future Offerings

Course has been adjusted for remote participation in S1 2021 Some on-campus activities are available. Attendance at these where possible is encouraged

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:

  1. Be proficient at programming multiple parallel machines in more than one special programming language or programming system
  2. Be able to descriptively compare the performance of different programs and methods on one machine
  3. Demonstrate advanced knowledge of the elements of parallel programming language and system implementation
  4. Recall the history of parallel systems and describe the developments in the field

Other Information

Course offered in alternate odd-numbered years.

Indicative Assessment

  1. Assignments (30) [LO 1,2,3,4]
  2. Laboratories (20) [LO 1,2,3,4]
  3. Final Exam (50) [LO 1,2,3,4]

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Workload

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

Inherent Requirements

information in inherent requirements for this course is currently not available

Requisite and Incompatibility

To enrol in this course you must have completed COMP2310. Incompatible with 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.

Assumed Knowledge

The course assumes proficiency in programming, and currently uses the C programming language. While it is largely self-contained, some background in threaded programming, message-based programming (e.g. sockets) and computer organization will be useful.

Specialisations

Fees

Tuition fees are for the academic year indicated at the top of the page.  

Commonwealth Support (CSP) Students
If you 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). More information about your student contribution amount for each course at Fees

Student Contribution Band:
2
Unit value:
6 units

If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found 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
2021 $4410
International fee paying students
Year Fee
2021 $5880
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
4518 22 Feb 2021 01 Mar 2021 31 Mar 2021 28 May 2021 In Person N/A

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