THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
Archive for reference only
THIS PAGE IS OUT OF DATE

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
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
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThe course will cover 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.
Course description Not entered
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
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, 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 S2 (April/May)2:00
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.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsAPP (S2)
Contacts
Course organiserDr Daniel Holmes
Tel:
Email: dholmes@exseed.ed.ac.uk
Course secretary Yuhua Lei
Tel: (0131 6) 517067
Email: yuhua.lei@ed.ac.uk
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Prospectuses
Important Information
 
© Copyright 2014 The University of Edinburgh - 12 January 2015 4:33 am