@TechReport{	  it:2005-036,
  author	= {Mahen Jayawardena and Kajsa Ljungberg and Sverker
		  Holmgren},
  title		= {Using Parallel Computing and Grid Systems for Genetic
		  Mapping of Multifactorial Traits},
  institution	= {Department of Information Technology, Uppsala University},
  department	= {Division of Scientific Computing},
  year		= {2005},
  number	= {2005-036},
  month		= dec,
  abstract	= {We present a flexible parallel implementation of the
		  exhaustive grid search algorithm for multidimensional QTL
		  mapping problems. A generic, parallel algorithm is
		  presented and a two-level scheme is introduced for
		  partitioning the work corresponding to the independent
		  computational tasks in the algorithm. At the outer level, a
		  static block-cyclic partitioning is used, and at the inner
		  level a dynamic pool-of-tasks model is used. The
		  implementation of the parallelism at the outer level is
		  performed using scripts, while MPI is used at the inner
		  level. By comparing to results from the SweGrid system to
		  those obtained using a shared memory server, we show that
		  this type of application is highly suitable for execution
		  in a grid framework.}
}