In 2023, this course is on campus with remote adjustments only for participants with unavoidable travel restrictions/visa delays.
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:
- 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
Indicative Assessment
- Assignments (30) [LO 1,2,3,4]
- Laboratories (20) [LO 1,2,3,4]
- Final Exam (50) [LO 1,2,3,4]
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 sessionsInherent Requirements
information on inherent requirements for this course is currently not available
Requisite and Incompatibility
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.
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 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2023 | $4860 |
- International fee paying students
| Year | Fee |
|---|---|
| 2023 | $6180 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
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 |
|---|---|---|---|---|---|---|
| 4500 | 20 Feb 2023 | 27 Feb 2023 | 31 Mar 2023 | 26 May 2023 | In Person | View |
