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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
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DRPS : Course Catalogue : School of Physics and Astronomy : Postgraduate (School of Physics and Astronomy)

Postgraduate Course: Parallel Programming Languages (PGPH11072)

Course Outline
SchoolSchool of Physics and Astronomy CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThis 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 2014/15, Not available to visiting students (SS1) 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
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsPPL (S1)
Contacts
Course organiserDr 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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