Parallel Decomposition (P01656)

? Credit Points : 10 ? SCQF Level : 11 ? Acronym : PHY-P-HPCParDec

The first section of this course covers the use of the data parallel programming paradigm. In its simplest form the data-parallel programming model extends a sequential programming language with parallel constructs for handling large aggregates of data such as arrays. The course focuses on the extension of Fortran 90 to High Performance Fortran (HPF), the de facto standard for data parallel languages and includes extensive practical exercises.

The final section of this course describes the main classes of techniques used to decompose an application across a parallel computer. The course covers each technique in some detail and discusses when it can be used effectively.

Entry Requirements

? Pre-requisites : Only postgraduates or final year MPhys students with suitable computational background, subject to space restrictions and agreement with relevant Programme Coordinator.

Subject Areas

Home subject area

Postgraduate (School of Physics), (School of Physics, Schedule Q)

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Block 5 and beyond

? Contact Teaching Time : 20 hour(s) per week for 1 weeks

All of the following classes

Type	Day	Start	End	Area
Lecture	Wednesday	09:00	17:00	KB

Summary of Intended Learning Outcomes

On completion of this module students should be able to:

- Demonstrate understanding of data parallel programming.
- Implement data parallel codes using F90 array syntax and HPF directives.
- Describe the main approaches to parallel decomposition.
- Evaluate and choose appropriate decompositions.