  For a long time, the Von Neumann has been a successful model of computation
for sequential computing .Many models including the dataflow model have been
unsuccessfully developed to emulate the same results in parallel computing. It
is widely accepted that high performance computation is better-achieved using
parallel architectures and is seen as the basis for future computational
architectures with the ever-increasing need for high performance computation.
We describe a new model of parallel computation known as the Arithmetic
Deduction Model (AriDem) which has some similarities with the Von Neumann. A
theoretical evaluation conducted on this model in comparison with the
predominant von Neumann model indicated AriDeM to be more efficient in
resources utilization. In this paper, we conduct an empirical evaluation of the
model and the results reflect the output of the theoretical evaluation.
