CITS5507 High Performance Computing

Credit
6 points
Offering
(see Timetable)

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
Semester 2UWA (Perth)Face to face Predominantly face-to-face. On campus attendance required to complete this unit. May have accompanying resources online.
Semester 2UWA (Perth)Online timetabled 100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit includes some synchronous components, with a requirement for students to participate online at specific times.
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 large scale data processing and (2) demonstrate expertise in problem solving in parallel using distributed memory, distributed shared memory architectures and MapReduce problems , the 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 only available in this unit in the case of a student who has obtained a mark of 45 to 49 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)
Dr Zeyi Wen
Unit rules
Prerequisites:
enrolment in the
62510 Master of Information Technology or
62530 Master of Data Science or
62550 Master of Professional Engineering (Software Engineering)
and
completion of 12 points of programming-based units
Incompatibility:
CITS3402 High Performance Computing, SHPC4002 High Performance Computing
Texts

To be advised by the School of Computer Science and Software Engineering.

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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 one week prior the commencement of study. Reading lists and essential textbooks are subject to change each semester. Information on essential textbooks will also be made available on the Essential Textbooks. This website is updated regularly in the lead up to semester so content may change. It is recommended that students purchase essential textbooks for convenience due to the frequency with which they will be required during the unit. A limited number of textbooks will be made available from the Library in print and will also be made available online wherever possible. 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.