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Network Contention-Aware Method to Evaluate Data Coherency Protocols within a Compilation Toolchain

机译:网络争用感知方法以评估编译工具链内的数据一致性协议

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Shared memory is a critical issue for large distributed systems. Despite several data coherency protocols have been proposed, the selection of the protocol that best suits to the application requirements and system constraints remains a challenge. The development of multi-coherency systems, where different protocols can be deployed during runtime, appears to be an interesting alternative. In order to explore the design space of the coherency protocols a fast and accurate method should be used. In this work we rely on a compilation toolchain that transparently handles data coherency decisions for a multi-protocol platform. We focus on the analytical evaluation of the coherency configuration that stands within the optimization loop. We propose to use a TLM NoC simulator to get feedback on expected network contentions. We evaluate the approach using five workloads, three data coherency protocols and two NoC topologies. As a result, we are able to obtain a fast and accurate evaluation of the different coherency-protocol alternatives.
机译:共享内存是大型分布式系统的关键问题。尽管提出了几种数据一致性协议,但选择最适合应用程序要求和系统限制的协议仍然是一个挑战。在运行时期间可以部署不同协议的多相干系统的开发,似乎是一个有趣的替代方案。为了探索一致性协议的设计空间,应该使用快速和准确的方法。在这项工作中,我们依赖于编译工具链,透明地处理多协议平台的数据一致性决策。我们专注于在优化循环内展望的一致性配置的分析评估。我们建议使用TLM NOC模拟器来获取有关预期网络争论的反馈。我们使用五个工作负载,三个数据一致性协议和两个NoC拓扑进行评估方法。结果,我们能够获得对不同的一致性协议替代品的快速准确评估。

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