This course introduces advanced parallel computing techniques for industrial scale computational fluid dynamics (CFD) applications.

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With the advances in computer hardware we are able to undertake larger engineering problems. Modern high-performance computing (HPC) facilities consist of thousands of central processing units enabled to perform CFD simulations at a fraction of time compared with desktop computers. The course includes computer sessions where you will be able to perform exercises and apply these methods to numerical codes for CFD problems.

At a glance

  • Dates
    • Please enquire for course dates
  • DurationTwo days
  • LocationCranfield Campus
  • Cost£1250

Course structure

Mixed lecture and lab sessions with VLE support

What you will learn

On completion of the course, you will be able to:

  • understand the fundamentals of hardware architecture of modern HPC systems.
  • assess essential software extensions i.e. MPI, open-MP, for distributed computing
  • use parallel interface technologies - i.e. MPI and OpenMP - on numerical solvers for Partial Differential Equations within the field of fluid dynamics.
  • evaluate the benefits of high performance computing for computational fluid dynamics applications, in terms of speed-up and efficiency.

Core content

  • Desktop versus distributed computing facilities
  • Hardware and software aspects of HPC
  • Parallel computing challenges and main issues
  • Parallelisation approaches for distributed and shared memory systems.  MPI & OpenMP
  • Current CFD process with respect to partitioning and distributed computing and related bottlenecks
  • Whole HPC product applications

Upgrade to a professional qualification

This module is part of the Numerics and High Performance Computing module worth 10 credit points in the 

MSc in Computational Fluid Dynamics.

Who should attend

This course is suitable for:

  • Engineers that are looking to employ parallel methods on current systems and perform computational efficiency studies from their simulations
  • Scientists and researchers that are looking to parallelise their code. 
Individuals attending this course should be familiar with programming in low-level language - e.g. fortran, c, c++.

Accommodation options and prices

This course is non-residential. If you would like to book accommodation on campus, please contact Mitchell Hall or Cranfield Management Development Centre directly. Further information about our on campus accommodation can be found here.  Alternatively you may wish to make your own arrangements at a nearby hotel. 

Location and travel

Cranfield University is situated in Bedfordshire close to the border with Buckinghamshire. The University is located almost midway between the towns of Bedford and Milton Keynes and is conveniently situated between junctions 13 and 14 of the M1.

London Luton, Stansted and Heathrow airports are 30, 90 and 90 minutes respectively by car, offering superb connections to and from just about anywhere in the world. 

For further location and travel details

Location address

Cranfield University
College Road
MK43 0AL

Read our Professional development (CPD) booking conditions.