db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"<br>
db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"<br>
@InProceedings{Kerridge11,
  title =        "{E}xperiments in {M}ulticore and {D}istributed {P}arallel {P}rocessing using {JCSP}",
db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"<br>
  author=        "Kerridge,  Jon",
db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"<br>
  editor=        "Welch, Peter H. and Sampson,  Adam T. and Pedersen,  Jan Bækgaard and Kerridge,  Jon and Broenink,  Jan F. and Barnes,  Frederick R. M.",
db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"<br>
  pages =        "131--142",
  booktitle=     "{C}ommunicating {P}rocess {A}rchitectures 2011",
  isbn=          "978-1-60750-773-4",
  year=          "2011",
  month=         "jun",
  abstract=      "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."
}