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{Cole12a,
  title =        "{B}eauty {A}nd {T}he {B}east: {E}xploiting {GPU}s {I}n {H}askell",
db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"<br>
  author=        "Cole,  Alex and McEwan,  Alistair A. and Mainland,  Geoff",
db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"<br>
  editor=        "Welch, Peter H. and Barnes,  Frederick R. M. and Chalmers,  Kevin and Pedersen,  Jan Bækgaard and Sampson,  Adam T.",
db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"<br>
  pages =        "121--134",
  booktitle=     "{C}ommunicating {P}rocess {A}rchitectures 2012",
  isbn=          "978-0-9565409-5-9",
  year=          "2012",
  month=         "aug",
  abstract=      "In this paper we compare a Haskell system that exploits a
     GPU back end
using Obsidian against a number of other
     GPU/parallel processing
systems.  Our examples demonstrate
     two major results.  Firstly they show
that the Haskell
     system allows the applications programmer to exploit
GPUs in
     a manner that eases the development of parallel code
     by
abstracting from the hardware.  Secondly we show that the
     performance
results from generating the GPU code from
     Haskell are acceptably
comparable to expert hand written GPU
     code in most cases; and permit
very significant performance
     benefits over single and multi-threaded
implementations
     whilst maintaining ease of development.  Where our
results
     differ from expert hand written GPU (CUDA) code we consider
     the
reasons for this and discuss possible developments that
     may mitigate
these differences.  We conclude with a
     discussion of a domain specific
example that benefits
     directly and significantly from these results."
}