CITS3402 High Performance Computing

Credit
6 points
Offering

If this unit does not have an online alternative, then students who are presently unable to enter Western Australia and whose studies would be delayed by an inability to complete this unit, should contact the unit coordinator (details given on this page) to ascertain, on an individual case-by-case basis, if alternate arrangements can be made to support their study in this unit.

AvailabilityLocationMode
Not available in 2021UWA (Perth)Face to face Predominantly face-to-face. On campus attendance required to complete this unit. May have accompanying resources online.
Details for undergraduate courses
  • Level 3 option in the Computer Science major sequence
  • Level 3 elective
Content
High performance computing is an integral part of modern scientific and engineering research. Most physical systems are explored through simulation and modelling using high performance computing tools like parallel computers. This unit introduces students to the essential tools and techniques of high performance computing. The main objectives are to introduce students to different frameworks of parallel and distributed computing that they can use in their specific areas of interest. The students learn to program multi core processors using OpenMP, and clusters of personal computers using MPI. Students examine high performance computing case studies from different scientific disciplines and also work on individual or group projects to consolidate their learning.
MapReduce is a programming paradigm for processing large data sets on clusters of computers. The implementation of MapReduce through Spark and the distributed file system HDFS has become a widely used programming model for high performance computing in the last decade. This unit will also introduce students to this programming model through lectures and laboratory exercises.
Outcomes
Students are able to (1) formulate and implement high performance computing solutions for scientific problems and (2) demonstrate expertise in problem solving in parallel using distributed memory and distributed shared memory architectures, the two most common frameworks for high performance computing.
Assessment
Indicative assessments in this unit are as follows: (1) laboratory and project related assessments and (2) final examination. Further information is available in the unit outline.

Supplementary assessment is not available in this unit except in the case of a bachelor's pass degree student who has obtained a mark of 45 to 49 overall and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete their course.
Unit Coordinator(s)
Professor Amitava Datta
Unit rules
Prerequisites:
CITS1002 Programming and Systems or CITS2002 Programming and Systems
Contact hours
lectures: 2 hours per week
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
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  • Unit readings, including any essential textbooks, are listed in the unit outline for each unit one week prior the commencement of study. The unit outline will be available via the LMS and the UWA Handbook. Reading lists and essential textbooks are subject to change each semester. Essential textbooks can be purchased from the commercial vendors to secure the best deal. The Student Guild can provide assistance on where to purchase books if required. Books can be purchased second hand at the Guild Secondhand bookshop (second floor, Guild Village), which is located on campus. Copies of textbooks and other readings will be made available for students to access from the Library, online wherever possible as well as in print.