Parallel and Distributed Computing

Undergraduate | 2026

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area/catalogue icon
Area/Catalogue
COMP 3030
Course ID icon
Course ID
205803
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
3
Study abroad and student exchange icon
Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No
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Note:
Course data is interim and subject to change

Course overview

A selection of topics from the following: the challenges faced in constructing parallel and distributed applications, including testing, debugging and performance evaluation. Various implementation techniques, paradigms, architectures and programming languages including: Flynn's taxonomy, MPI, MapReduce, OpenMP, GPGPU, concurrency and multi-threading.

Course learning outcomes

  • Develop and apply knowledge of parallel and distributed computing techniques and methodologies
  • Apply design, development, and performance analysis of parallel and distributed applications
  • Use the application of fundamental Computer Science methods and algorithms in the development of parallel applications
  • Explain the design, testing, and performance analysis of a software system, and to be able to communicate that design to others

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A

Assessment

Exam, Assignment, Multiple Choice Questions