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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2011/2012
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DRPS : Course Catalogue : School of Physics and Astronomy : Postgraduate (School of Physics and Astronomy)

Postgraduate Course: Advanced Parallel Programming (PGPH11074)

Course Outline
SchoolSchool of Physics and Astronomy CollegeCollege of Science and Engineering
Course typeStandard AvailabilityNot available to visiting students
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) Credits10
Home subject areaPostgraduate (School of Physics and Astronomy) Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionThe 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.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: HPC Architectures (PGPH11080) AND Message-Passing Programming (PGPH11078) AND Threaded Programming (PGPH11077) AND Parallel Programming Languages (PGPH11072)
Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
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 BuildingsLecture1-11 15:00 - 15:50
King's BuildingsLecture1-11 15:00 - 15:50
King's BuildingsTutorial1-11 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
KeywordsAPP
Contacts
Course organiserDr 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
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© Copyright 2011 The University of Edinburgh - 16 January 2012 6:35 am