Fine-Grain Numerical Computations in Dynamic SMP Clusters with Communication on the Fly

Abstract

This paper presents a new version of the dynamic SMP cluster -based architecture oriented towards networks on chip implementation technique. Smaller sub-networks with many dynamic SMP clusters and communication on the fly are connected by a central global network. Processors are provided with multi-ported data caches that enable parallel data transactions with memory modules, including parallel data pre-fetching and communication on the fly. Simulation experiments are described, based on a graph program representation and an automatic graph evaluator. They show efficiency of the proposed solution for very fine grain numerical problems.