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DRPS : Course Catalogue : School of Physics and Astronomy : Postgraduate (School of Physics and Astronomy)

Postgraduate Course: Parallel Design Patterns (PGPH11071)

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 module will present a foundation of a pattern language for parallel programming.

Computational patterns are discussed only briefly as many of them are described in detail in other modules of the MSc programme. This module will focus on parallel algorithm strategy patterns such as

- Task Parallelism
- Recursive Splitting
- Geometric Decomposition
- Pipeline
- Discrete Event
and implementation Strategy Patterns such as
- Master/Worker
- Loop Parallelism
- Fork/Join
- Shared Queue
- Actors

Patterns are described on an abstract level and their implementations are explored in the tutorials. Tutorials put emphasis on creation of reusable generic implementations.

Generic applicability of a pattern implementation is demonstrated by applying it to distinct computational problems. Existing libraries (such as those from the Java SDK) are described and their design and use is discussed.

Programming exercises use C and Fortran, with MPI.
Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Message-Passing Programming (PGPH11078)
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 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 22, Seminar/Tutorial Hours 11, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 65 )
Additional Information (Learning and Teaching) Please contact the School for further information
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) 100% Coursework
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course students should be able to:

- Describe the elements of a design pattern, and describe the advantages that patterns can provide, as well as their limitations.
- Recognise algorithm strategy patterns for the problem at hand
- Choose the most appropriate implementation pattern
- Design and write reusable parallel code
- Have an awareness of existing frameworks and libraries used to implement parallel design patterns
- Understand the fundamentals of the API design.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsPDP (S2)
Contacts
Course organiserDr Nicholas Brown
Tel: (0131 6)50 6420
Email: Nick.Brown@ed.ac.uk
Course secretary Yuhua Lei
Tel: (0131 6) 517067
Email: yuhua.lei@ed.ac.uk
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