- Code COMP4300
- Unit Value 6 units
- 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
This course has been adjusted for remote participation in Semester 1, 2022.
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.
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
Course offered in alternate odd-numbered years.
Professional Skills Mapping:
- 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.
WorkloadThirty one-hour lectures, six two-hour tutorial/laboratory sessions
information in inherent requirements for this course is currently not available
Requisite and Incompatibility
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.
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.
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:
- 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.
Offerings, Dates and Class Summary Links
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|4419||21 Feb 2022||28 Feb 2022||31 Mar 2022||27 May 2022||In Person||N/A|