Postgraduate Course: Advanced Parallel Programming (PGPH11074)
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 | The course will cover the following topics:
- Scalability challenges
- Leading-edge HPC architectures
- MPI Internals
- Message-passing optimisations
- Parallel performance tools
- Performance modelling
- Single-sided protocols
- Exploiting heterogeneous architectures
- Advanced load-balancing techniques
- Parallel file systems and parallel IO
- Verification and fault tolerance
- Choice of programming model/language
These are all generic topics but would be demonstrated in practice on a particular architecture, eg we would use HECToR for the first couple of years. |
Course Delivery Information
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Delivery period: 2013/14 Semester 2, 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 |
13/01/2014 |
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 S2 (April/May) | | 2:00 | |
Summary of Intended Learning Outcomes
On completion of this course students should be able to:
- Describe the various factors that limit scalability in large-scale parallel programs
- Diagnose parallel performance problems using analysis tools.
- Design and apply appropriate parallel optimisation techniques.
- Exploit an understanding of the architectures of HPC systems to write more efficient parallel codes.
- Implement appropriate correctness tests in simulation codes. |
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 | APP (S2) |
Contacts
Course organiser | Dr David Henty
Tel: (0131 6)50 5960
Email: d.henty@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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