Reconfigurable Multi-core Architecture -- A Plausible Solution to the Von Neumann Performance Bottleneck

Abstract

The ill-famed von Neumann bottleneck has been the main performance hurdle since the invention of computers. Although several techniques such as separate data/instruction caches, branch prediction, and parallel computing have been proposed and improved efficiency, the throughput bottleneck between CPU and memory is still very much there. We propose a novel reconfigurable multi-core architecture (RMA) to address this issue via the dynamic allocation of heterogeneous computing resources and distributed memory. We show how this is feasible with the state-of-the-art technologies of dynamic partial reconfiguration of hardware resources and runtime operating system configuration. Experiments and analysis show how RMA alleviates the performance bottleneck.