Shared-Memory Programming with OpenMP

An introduction to using OpenMP for parallel programming. No prior parallel programming experience required.

Almost all modern computers now have a shared-memory architecture with multiple CPUs connected to the same physical memory, for example multicore laptops or large multi-processor compute servers. This course covers OpenMP, the industry standard for shared-memory programming, which enables serial programs to be parallelised easily using compiler directives. Users of desktop machines can use OpenMP on its own to improve program performance by running on multiple cores; users of parallel supercomputers can use OpenMP in conjunction with MPI to better exploit the shared-memory capabilities of the compute nodes.

This two-day course will cover an introduction to the fundamental concepts of the shared variables model, followed by the syntax and semantics of OpenMP and how it can be used to parallelise real programs. Hands-on practical programming exercises make up a significant, and integral, part of this course.

No prior HPC or parallel programming knowledge is assumed, but attendees must already be able to program in C, C++ or Fortran. Access will be given to appropriate hardware for all the exercises, although many of them can also be performed on a standard Linux laptop.

This course is free to all academics.

Pre-requisite programming languages

Fortran, C or C++. It is not possible to do the exercises in Java.

Example timetable

Day 1

09:30 Lectures: Shared Memory Concepts; OpenMP Fundamentals; Parallel Regions

11:00 COFFEE

11:30 Practicals: Hello World; Mandelbrot 1

13:00 LUNCH

14:00 Lectures: Work sharing; Synchronisation

15:30 TEA

16:00 Practicals: Mandelbrot 2; Molecular Dynamics (MD)

17:30 CLOSE

Day 2

09:30 Lectures: Further topics; OpenMP Tasks

11:00 COFFEE

11:30 Practicals: MD with orphaning; Mandelbrot with tasks

13:00 LUNCH

14:00 Lectures: Memory model; Performance tuning

15:30 TEA

16:00 Practicals: MD tuning

17:30 CLOSE

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