Postgraduate Course: Shared Memory Programming (PGPH11003)
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/ |
Taught in Gaelic? | No |
| Course description | A significant number of parallel computers utilise a shared memory architecture. This course is primarily about how to effectively program these computers. After an introduction to the fundamental concepts of the shared variables model, the course focuses on the syntax and semantics of OpenMP, the industry standard for shared memory programming. A short introduction to Posix threads is also given, along with a description of how OpenMP is typically implemented, as well as material covering the potential performance issues and how to solve them. Hands-on programming makes up a significant, and integral, part of this course.
The course is delivered using EPCC's dedicated training facilities and is taught using a variety of methods including formal lectures, practical exercises, programming examples and informal tutorial discussions. This enables lecture material to be supported by the tutored practical sessions in order to reinforce the key concepts. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | It is RECOMMENDED that students also take
Fundamental Concepts of High Performance Computing (PGPH11014)
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| 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:
- Understand the shared variables programming model.
- Have a detailed knowledge of OpenMP syntax and semantics.
- Be able to implement correct and efficient OpenMP codes.
- Understand performance issues in shared memory programming.
- Be aware of the underlying threads model and how OpenMP is implemented on it. |
Assessment Information
100% coursework
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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 |
| Keywords | SMP |
Contacts
| Course organiser | Dr Judy Hardy
Tel: (0131 6)50 6716
Email: |
Course secretary | Yuhua Lei
Tel: (0131 6) 517067
Email: |
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