Postgraduate Course: Advanced Parallel Programming (PGPH11074)
Course Outline
| School | School of Physics and Astronomy |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | 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 description |
Not entered
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Course Delivery Information
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| Academic year 2016/17, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| 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 Information (Learning and Teaching) |
Please contact the School for further information
|
| Assessment (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
100% examination consisting of a two hour exam |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S2 (April/May) | | 2:00 | |
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.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | APP (S2) |
Contacts
| Course organiser | Dr Daniel Holmes
Tel:
Email: dholmes@exseed.ed.ac.uk |
Course secretary | Yuhua Lei
Tel: (0131 6) 517067
Email: yuhua.lei@ed.ac.uk |
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