Paper Details

%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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