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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: Message-Passing Programming (PGPH11078)

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:

- The message-passing model
- Message-passing parallelisation of a regular domain code
- MPI terminology
- The anatomy of send and receive (synchronous and asynchronous)
- Point-to-point message-passing example (pi)
- Bandwidth and latency via pingpong (synchronous and asynchronous)
- Non-blocking operations
- Collectives
- Communicator management: topologies and partitioning
- Derived datatypes (focusing mainly on array subsections)
- Practicalities / Hints and Tips
- MPI implementations
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Course Delivery Information
Delivery period: 2011/12 Semester 1, 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 BuildingsLaboratory1-11 12:10 - 13:00
First Class Week 1, Monday, 15:00 - 15:50, Zone: King's Buildings. Room 6206 JCMB
No Exam Information
Summary of Intended Learning Outcomes
On completion of this course students should be able to:

- Understand the message-passing model in detail.
- Explain the circumstances which cause issues such as deadlock.
- Implement standard message-passing algorithms in MPI.
- Debug simple MPI codes.
- Measure and comment on the performance of MPI codes.
- Design and implement efficient parallel programs to solve regular-grid problems.
Assessment Information
100% Group-based Coursework
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
KeywordsMPP
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