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Performance Modelling Techniques for Parallel Supercomputing Applications (Paperback)
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Performance Modelling Techniques for Parallel Supercomputing Applications (Paperback)
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Ever since the invention of the computer, users have demanded more
and more computational power to tackle increasingly complex
problems. A common means of increasing the amount of computational
power available for solving a problem is to use parallel computing.
Unfortunately, however, creating efficient parallel programs is
notoriously difficult. In addition to all of the well-known
problems that are associated with constructing a good serial
algorithm, there are a number of problems specifically associated
with constructing a good parallel algorithm. These mainly revolve
around ensuring that all processors are kept busy and that they
have timely access to the data that they require. Unfortunately,
however, controlling a number of processors operating in parallel
can be exponentially more complicated than controlling one
processor. Furthermore, unlike data placement in serial programs,
where sophisticated compilation techniques that optimise cache
behaviour and memory interleaving are common, optimising data
placement throughout the vastly more complex memory hierarchy
present in parallel computers is often left to the parallel
application programmer. All of these problems are compounded by the
large number of parallel computing architectures that exist,
because they often exhibit vastly different performance
characteristics, which makes writing well-optimised, portable code
especially difficult. The primary weapon against these problems in
a parallel programmer's or parallel computer architect's arsenal is
-- or at least should be -- the art of performance prediction. This
book provides a historical exposition of over four decades of
research into techniques for modelling the performance of computer
programs running on parallel computers.
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