Construction of Optimal Multicast Trees Based on the Parameterized Communication Model

Many tree-based multicast algorithms have been proposed to provide an eecient software implementation on parallel platforms without hardware multicast support. These algorithms are either architecture-dependent (not portable) or architecture-independent (portable) but do not provide good performance when porting to diierent parallel platforms. Based on the LogP model, the proposed parameterized communication model can more accurately characterize the communication network of parallel platforms. The model encompasses a number of critical system parameters which can be easily measured on a given parallel platform. Based on the model, eecient methods to construct optimal multicast trees are proposed for both 1-port and-port communication architectures. Experimental results conducted on the IBM/SP at Argonne National Laboratory are presented to compare the performance of the optimal multi-cast tree with two other known tree-based multicast algorithms. We claim that our proposed multicast algorithms can be ported to diierent parallel platforms and provide a near-optimal performance as the truly machine-speciic optimal performance is achievable only when the underlying detailed network characteristics are considered.