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Performance Evaluation of Interconnection Schemes for Shared Cache Memory Multi-core Architectures

机译:共享缓存多核体系结构互连方案的性能评估

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Current systems-on-chips (SoCs) designs integrate an increasingly large number of designed cores and their number is predicted to increase significantly in the near future. This paper focuses on the interconnection design issues of area, power and performance of chip multi-processors with shared cache memory. It shows that having shared cache memory contributes to the performance improvement, however, typical interconnection between cores and the shared cache using crossbar occupies most of the chip area, consumes a lot of power and does not scale efficiently with increased number of cores. New interconnection mechanisms are needed to address these issues. This paper proposes an architectural paradigm in an attempt to gain the advantages of having shared cache with the avoidance of penalty imposed by the crossbar interconnect. The proposed architecture achieves smaller area occupation allowing more space to add additional cache memory. It also reduces power consumption compared to the existing crossbar architecture. Furthermore, the paper presents a modified cache coherence algorithm called Tuned-MESI. It is based on the typical MESI cache coherence algorithm however it is tuned and tailored for the suggested architecture. The achieved results of the conducted simulated experiments show that the developed architecture produces less broadcast operations compared to the typical algorithm.
机译:当前的片上系统(SoC)设计集成了越来越多的已设计内核,并且预计在不久的将来它们的数量将大大增加。本文重点讨论具有共享缓存的芯片多处理器的面积,功耗和性能的互连设计问题。它表明拥有共享的高速缓存存储器有助于提高性能,但是,使用交叉开关的内核与共享的高速缓存之间的典型互连占用了大部分芯片面积,消耗了大量的功率,并且无法随着内核数量的增加而有效地扩展。需要新的互连机制来解决这些问题。本文提出了一种架构范例,试图获得共享缓存的优势,同时避免交叉开关互连带来的损失。所提出的体系结构实现了较小的区域占用,从而允许有更多的空间来添加额外的缓存。与现有的交叉开关架构相比,它还降低了功耗。此外,本文提出了一种改进的缓存一致性算法,称为Tuned-MESI。它基于典型的MESI缓存一致性算法,但是针对建议的体系结构进行了调整和定制。进行的仿真实验的结果表明,与典型算法相比,所开发的体系结构产生的广播操作更少。

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