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During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.

Unit of study_

COMP5426: Parallel and Distributed Computing

This unit is intended to introduce and motivate the study of high performance computer systems. The student will be presented with the foundational concepts pertaining to the different types and classes of high performance computers. The student will be exposed to the description of the technological context of current high performance computer systems. Students will gain skills in evaluating, experimenting with, and optimising the performance of high performance computers. The unit also provides students with the ability to undertake more advanced topics and courses on high performance computing.

Code COMP5426
Academic unit Computer Science
Credit points 6
Prerequisites:
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None
Corequisites:
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None
Prohibitions:
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None
Assumed knowledge:
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Experience with algorithm design and software development as covered in (COMP2017 or COMP9017) and COMP3027 (or equivalent UoS from different institutions).

At the completion of this unit, you should be able to:

  • LO1. design, analyse high performance computing algorithms
  • LO2. understand concepts of high performance computing
  • LO3. efficiently implement high performance computing algorithms
  • LO4. demonstrate knowledge of various high performance computing architectures
  • LO5. demonstrate technical writing to communicate complex ideas clearly
  • LO6. understand the significance of high performance computing and its impact on the whole computer systems.

Unit outlines

Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.