%T Experiments in Multicore and Distributed Parallel Processing using JCSP
%A Jon Kerridge
%E Peter H. Welch, Adam T. Sampson, Jan Bækgaard Pedersen, Jon Kerridge, Jan F. Broenink, Frederick R. M. Barnes
%B Communicating Process Architectures 2011
%X It is currently very difficult to purchase any form of
computer system be it, notebook, laptop, desktop server or
high performance computing system that does not contain a
multicore processor. Yet the designers of applications, in
general, have very little experience and knowledge of how to
exploit this capability. Recently, the Scottish Informatics
and Computer Science Alliance (SICSA) issued a challenge to
investigate the ability of developers to parallelise a
simple Concordance algorithm. Ongoing work had also shown
that the use of multicore processors for applications that
have internal parallelism is not as straightforward as might
be imagined. Two applications are considered: calculating pi
using Monte Carlo methods and the SICSA Concordance
application. The ease with which parallelism can be
extracted from a single application using both single
multicore processors and distributed networks of such
multicore processors is investigated. It is shown that naive
application of parallel programming techniques does not
produce the desired results and that considerable care has
to be taken if multicore systems are to result in improved
performance. Meanwhile the use of distributed systems tends
to produce more predictable and reasonable benefits
resulting from parallelisation of applications.
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