Parallel computing is simultaneous use of multiple computing
resources to solve a computing problem, to reduce the computation
time. To make many processors simultaneously work on a single
program, the program must be divided into smaller independent
chunks so that each processor can work on separate chunks of the
problem. Parallel computing is the only available method to
increase the computational speed and its application is rapidly
increasing in the field of scientific and engineering computations.
In this book parallel computing techniques are searched, developed
and tested for two types of computer hardware architectures.
Results also show a great reduction in computation time. The other
type of computer hardware architecture which is of main interest is
Distributed Memory Processors (DMP). DSM systems require a
communication network to connect inter-processor memory (ordinary
computers). To parallelize programs on DMP we have to use Message
Passing Interface (MPI) compilers directives. Time reduction in
parallel programs can be seen over sequential programs in the
results presented in this book.
General
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