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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2011/2012
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DRPS : Course Catalogue : School of Physics and Astronomy : Postgraduate (School of Physics and Astronomy)

Postgraduate Course: Fundamental Concepts of High Performance Computing (PGPH11032)

Course Outline
SchoolSchool of Physics and Astronomy CollegeCollege of Science and Engineering
Course typeStandard AvailabilityNot available to visiting students
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) Credits10
Home subject areaPostgraduate (School of Physics and Astronomy) Other subject areaNone
Course website http://www.epcc.ed.ac.uk/msc/ Taught in Gaelic?No
Course descriptionThis course covers the ways that High Performance Computing (HPC) techniques can be used to address problems in Computational Science. After introducing the major scientific applications areas and basic concepts of parallel computing, it outlines the hardware design of modern HPC platforms and the parallel programming models that they support. The principal methods of measuring and characterising serial and parallel performance are then covered. The final section of the course gives an introduction to grid technologies together with an overview of the opportunities and challenges associated with the computational grid.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements Only postgraduates or final year MPhys students with suitable computational background, subject to space restrictions and agreement with relevant Programme Coordinator.
Additional Costs None
Course Delivery Information
Not being delivered
Summary of Intended Learning Outcomes
On completion of this course students should be able to:

- Classify the most commonly used HPC platforms and parallel programming models.
- Measure, analyse and assess the performance of HPC programs.
- Interpret overall performance characteristics in terms of the basic hardware and software design.
- Evaluate the suitability of different HPC solutions to standard problems in Computational Science.
- Describe the potential benefits and issues of grid computing.
Assessment Information
100% examination consisting of a two hour exam
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Not entered
Transferable skills Not entered
Reading list Not entered
Study Abroad Not entered
Study Pattern Not entered
KeywordsNot entered
Contacts
Course organiserDr Judy Hardy
Tel: (0131 6)50 6716
Email: j.hardy@ed.ac.uk
Course secretary Yuhua Lei
Tel: (0131 6) 517067
Email: yuhua.lei@ed.ac.uk
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