(SM)2-II

Abstract
In order to treat scientific calculation with sparse matrices effectively, we propose a dedicated parallel machine called "the Sparse Matrix Solving Machine" version II, or (SM)2-II for short. A computation model named NC (NODE & CONNECTING-LINE) model and a new data-interchange method named RSM (Receiver Selectable Multicast) are introduced for (SM)2.1L In RSM, all processing units (PUs) share a global logical address. A PU can recognize whether or not it needs certain data from the address which the data is written into, and only data which is needed is actually written into memory. With this method a PU reads the data without conflict, and the requirement for memory is minimal. In this paper, congestion on the system bus is analyzed. Through this analysis the effectiveness of RSM will be justified.

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