Total System Cost Analysis of Master-Slave Multi-super-Hypercube DX-tree Architecture

In recent years the area of High Performance Computing (HPC) has received an outstanding support both from the users as well as the computer system designers. This support is mainly due to the increase of the complexity and density of the data processing of some of the advanced research areas. These areas include but not limited to, the climate modeling, weather forecasting, and performance measurement and improving precision of the nuclear weapon systems as well as space programs. This rise in complexity would impose additional pressure on the clients to demand for further improvements on system features such as speed, reliability, performance, fault tolerance, compatibility, size and cost. This is one of the determining factors that encourages our researchers to model new architectures in the areas of HPC in order to satisfy the clients´ scientific and engineering requirements. With this motivation in mind the author has introduced a new architecture which is coined as Master -Slave Multi-Super Hypercube DXTree architecture ((MS)² HDX - T). For this architecture the total system cost through mathematical modeling and simulation is compared with similar parameters in the existing HPC systems. The result highlights the advantages or otherwise of the proposed architecture from scientific research and/or commercial point of view.