Postgraduate Course: Parallel Programming Languages (PGPH11072)
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 |
None |
Taught in Gaelic? | No |
Course description | This course will cover a range of programming techniques which are important for scientific applications on parallel computers. Key paradigms will include: data parallel programming, PGAS languages and accelerator programming.
The course will include the following topics:
- data parallel programming with High Performance Fortran
- concepts of PGAS programming
- Co-Array Fortran
- Unified Parallel C
- accelerator programming
- programming GPGPUs
The focus on these topics will be their practical use to solve problems and all topics will have associated tutored practical exercises. |
Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | None |
Additional Costs | None |
Course Delivery Information
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Delivery period: 2013/14 Semester 1, Not available to visiting students (SS1)
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Learn enabled: Yes |
Quota: None |
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Web Timetable |
Web Timetable |
Course Start Date |
16/09/2013 |
Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Seminar/Tutorial Hours 11,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
63 )
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Additional Notes |
Please contact the School for further information
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Breakdown of Assessment Methods (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
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Exam Information |
Exam Diet |
Paper Name |
Hours & Minutes |
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Main Exam Diet S1 (December) | | 2:00 | |
Summary of Intended Learning Outcomes
On completion of this course students should be able to:
- demonstrate understanding of data parallel concepts through High Performance Fortran
- understand the concepts of PGAS languages
- solve problems using CAF and UPC programmes
- understand approaches to accelerator programming
- programme accelerators, such as GPGPUs |
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 |
Keywords | PPL (S1) |
Contacts
Course organiser | Dr Alan Simpson
Tel:
Email: Alan.Simpson@ed.ac.uk |
Course secretary | Yuhua Lei
Tel: (0131 6) 517067
Email: yuhua.lei@ed.ac.uk |
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© Copyright 2013 The University of Edinburgh - 13 January 2014 4:53 am
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