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 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
|
| Delivery period: 2011/12 Semester 2, 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 | 15:00 - 15:50 | | | | | | King's Buildings | Lecture | | 1-11 | | | | 15:00 - 15:50 | | | King's Buildings | Tutorial | | 1-11 | | | | | 11:10 - 12:00 |
| First Class |
Week 1, Monday, 15:00 - 15:50, Zone: King's Buildings. Room 5327 JCMB |
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
|
|
| 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 |
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 2011 The University of Edinburgh - 16 January 2012 6:35 am
|
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