Data Broadcasting and Reduction, Prefix Computation, and Sorting on Reduces Hypercube Parallel Computer

The popular hypercube interconnection network has high wiring(VLS1) complexity. The reduced hypercube (RH) is obtained by a uniform reduction in the number of channels for each hypercube node in order io reduce the VLSI complexity. It is known that the RH achieves performance comparable to that of the hypercube, at much lower hardware cost, through hypercube emulation. The reduced complexity of the RH permits the construction of powerful, massively parallel computers. This paper proposes algorithms for data broadcasting and reduction, prefix computation, and sorting on the RH. These operations are fundamental to many parallel algorithms. A worst case analysis of each algorithm is given and compared with that of equivalent algorithms for the hypercube. It is shown that the proposed algorithms for the RH yield performance comparable to that of the hypercube.