We present a Tabu Search algorithm for mapping data to multicomputer nodes,
assuming certain computation and multicomputer models. The experimental results
show that the Tabu algorithm offers both reasonable solution quality and mapping
time, which ranks about fourth in comparison with five other algorithms.
