Parallel PHOENICS

Why use parallel PHOENICS?

There are two principal reasons for using parallel rather than sequential PHOENICS. They are:

  • to obtain computational results in a shorter time, and
  • to use finer grids than a single processor permits.

The parallel solver shares the computational domain and task between a number processors; each processor then performs the computations for its part of the domain simultaneously. Thus the whole task may be achieved in a shorter time.

In theory, the more processors used, the shorter the computer time will be. The following table shows the speed-up achieved when carrying out computations on a model with 20 million cells.

Parallel speed up

 

It can be seen that there is not a linear relationship between the number of processors and the speed-up ratio. This is because for each additional processor added to the computation pool, there is an additional overhead. Eventually a limit will be reached whereby adding additional processors does not lead to a faster solution time. What this limit is depends on the computational domain under consideration.

 

What is PHOENICS parallel

The EARTH module uses most of the computing time and therefore it is only this part of PHOENICS, which is ported to the parallel computer. The strategy employed is grid-partitioning (also called domain decomposition), whereby the computational domain is divided into sub-domains, each of which is assigned to a particular processor having its own identical copy of the EARTH executable. During the computation, each processor exchanges information with its neighbours at the appropriate times.

In the parallel-EARTH implementation, a single processor controls the input/output, acting as a server to the other processes; this is called the 'Master' processor (PROC-0).

Its main input operation is the reading from disk of the problem-defining data files, and the broadcasting of the appropriate information to the other processes. In parallel, each process extracts information specific to the sub-domain it belongs to and continues with the solution procedure.

At the end of computations, the results from each processor are sent to the Master, there to be which are re-assembled and written on the disk as a single PHI file, exactly as in a sequential run; an option for writing individual PHI files also exists.

A single RESULT file is also written by the Master processer; there is also an option for writing individual RESULT files).

 

For more information see:

 

Latest NEWS

 

Software Solutions PHOENICS Training Course
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CHAM is looking for one or two new Project Engineers. Please see the Vacancies Section of this website for full information.

 

Professor Brian Spalding received a degree of Doctor of Science honoris causa from Imperial College at the beginning of May. Brian has been associated with IC from 1954 when he was invited to join from Cambridge. He started as Reader in Applied Heat, in 1958 was appointed to the Chair of Heat Transfer and, subsequently was also Head of the Computational Fluid Dynamics Unit. He remained Professor of Heat Transfer and Head of CFD until his retirement in 1988. The doctorate was awarded for services to science and to CFD of which he is a founding father.

 


AGENT NEWS

ACADS-BSG, CHAM's Agent in Australia, will be exhibiting PHOENICS/FLAIR at the Melbourne Convention and Exhibition Centre, May 20-22 on Stand 17, at ARBS 2014. They will be demonstrating examples of car-park fires and applications relevant to the HVAC industry. Click here for further information.

 

Shanghai Feiyi has arranged a user meeting on May 20,21 2014 in Hangzhou city, Zhejiang Province where the Beta-release version of PHOENICS-2014 will be demonstrated. Click here for further information.