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Applied High Performance Computing (MCEN90031)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Overview

Year of offer2019
Subject levelGraduate coursework
Subject codeMCEN90031
Campus
Parkville
Availability
Semester 2
FeesSubject EFTSL, Level, Discipline & Census Date

AIMS

With the ever increasing power of modern computers, the use of computer simulation is becoming more common in engineering practice. This course will introduce topics in high performance computing through a number of applications in science and engineering, including problems in linear algebra, partial differential equations (e.g. computational fluid dynamics), molecular dynamics, and agent based modelling. These applications will necessitate the inclusion of some theory regarding numerical methods for ordinary and partial differential equations (e.g. finite difference and finite element methods), but the key focus of the course will be on how large scale problems can be decomposed onto supercomputing architectures and introducing aspects of large scale visualization.

INDICATIVE CONTENT

This course will include study of various numerical methods used in engineering practice and how these applied to solving computational problems and hence programmed for execution on a supercomputer. The course will include both the higher level mathematics as well as practical issues associated with using a supercomputer.

Intended learning outcomes

INTENDED LEARNING OUTCOMES (ILO)

Having completed this subject the student is expected to be able to -

  1. Determine the complexity of a given parallel algorithm
  2. Determine the appropriate architecture for a particular problem and implement code to decompose the problem
  3. Develop numerical methods for solving ordinary and partial differential equations
  4. Implement software for shared memory multi-core systems with the OpenMP application programming interface
  5. Implement software for distributed memory supercomputers with MPI application programming interface.

Generic skills

  • Ability to apply knowledge of basic science and engineering fundamentals
  • Ability to undertake problem identification, formulation and solution
  • Capacity for independent critical thought, rational inquiry and self-directed learning.

Eligibility and requirements

Prerequisites

Both of the following -

Code Name Teaching period Credit Points
MAST20029 Engineering Mathematics
Summer Term
Semester 1
Semester 2
12.5
COMP20005 Engineering Computation
Semester 1
Semester 2
12.5

or admission into the 100 point Master of IT MC-IT (Distributed Computing) Program

Corequisites

None

Non-allowed subjects

None

Core participation requirements

The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.

Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home

Assessment

Additional details

  • Two assignments due in weeks 7 and 12, requiring 35 - 40 hours of work each (30% each, 60% total).
  • End of semester exam (40%), assesses ILOs 1 to 5.

Dates & times

  • Semester 2
    Principal coordinatorStephen Moore
    Mode of deliveryOn Campus — Parkville
    Contact hours36 hours of lectures and workshops
    Total time commitment200 hours
    Teaching period29 July 2019 to 27 October 2019
    Last self-enrol date 9 August 2019
    Census date31 August 2019
    Last date to withdraw without fail27 September 2019
    Assessment period ends22 November 2019

    Semester 2 contact information

Time commitment details

200 hours

Further information

  • Texts

    Prescribed texts

    There are no specifically prescribed or recommended texts for this subject.

  • Subject notes

    LEARNING AND TEACHING METHODS

    This subject will be delivered through a combination of lectures and tutorials.

    INDICATIVE KEY LEARNING RESOURCES

    Resources include a selection of textbooks, a course reader, lecture slides, example codes


    CAREERS / INDUSTRY LINKS

    Applied research

  • Available through the Community Access Program

    About the Community Access Program (CAP)

    This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.

    Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.

    Additional information for this subject

    Subject coordinator approval required

  • Available to Study Abroad and/or Study Exchange Students

    This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.

Last updated: 22 August 2019