Postgraduate Course: Parallel Programming Languages (PGPH11072)
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 | 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. |
| Course description |
Not entered
|
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
|
| Academic year 2015/16, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Semester 1 |
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 )
|
| 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 S1 (December) | | 2:00 | |
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
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | PPL (S1) |
Contacts
| Course organiser | Dr Alan Gray
Tel: (0131 6)50 5201
Email: A.Gray@ed.ac.uk |
Course secretary | Yuhua Lei
Tel: (0131 6) 517067
Email: yuhua.lei@ed.ac.uk |
|
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