Postgraduate Course: Fundamental Concepts of High Performance Computing (PGPH11014)
Course Outline
| School |
School of Physics and Astronomy |
College |
College of Science and Engineering |
| Course type |
Standard |
Availability |
Not available to visiting students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
10 |
| Home subject area |
Postgraduate (School of Physics and Astronomy) |
Other subject area |
None |
| Course website |
http://www.epcc.ed.ac.uk/msc/ |
|
|
| Course description |
This 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
| 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
|
| Delivery period: 2010/11 Semester 1, Not available to visiting students (SS1)
|
WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| King's Buildings | Lecture | | 1-11 | | 14:00 - 17:00 | | | |
| First Class |
First class information not currently available |
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
| Not entered |
Contacts
| Course organiser |
Dr 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 |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:29 am
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