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Lecture 31c, Parallel PDE 


Now we attack solving the PDE on multicore and multiprocessor
computer architectures.

The basic concept is to use worker task to do the parallel
computation and a master control task, the main procedure,
to keep the workers synchronized. These examples, in several
languages, use the barrier method of synchronization.

The first example is converting  fem_check44_la.adb  to
a parallel version. We developed  psimeq, parallel simultaneous
equations solver in lecture 3b
Thus we need to choose the number of processors, NP, to pass
to psimeq.

Then we need to parallelize the longest computation, creating
the stiffness matrix, as covered in lecture 32

Care must be taken to insure no worker tasks set any variable that
might by modified by any other worker task or the master task.


Parallelizing Ada, FEM example


fem_check44_pla.adb
fem_check44_pla_ada.out

The other files needed to compile and execute include:
psimeq.ada
laphi.ads
laphi.adb
gaulegf.adb
real_arrays.ads
real_arrays.adb
Ada barrier software



Parallelizing Java, FEM example


The first example is converting  fem_check44_la.adb  to
a parallel version. We developed  psimeq, parallel simultaneous
equations solver in lecture 3b
Thus we need to choose the number of processors, NP, to pass
to psimeq.

Then we need to parallelize the longest computation, creating
the stiffness matrix, as covered in lecture 32

Care must be taken to insure no worker tasks set any variable that
might by modified by any other worker task or the master task.

fem_check44_pla.java
fem_check44_pla_java.out



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