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A Systematic Approach to Achieving Tight Worst-Case Latency and High-Performance Under Predictable Cache Coherence

机译:一种系统的方法,可以在可预测的缓存一致性下实现紧密最坏情况延迟和高性能

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Predictable hardware cache coherence is an attractive data communication mechanism between safety-critical tasks deployed on real-time multi-core platforms due to its predictability and high-performance benefits. However, from a worst-case analysis standpoint, alternative data communication mechanisms appear in favorable light for adoption in real-time multi-core platforms. This is because alternative data communication mechanisms such as cache bypassing offer tighter worstcase latency (WCL) bounds for memory requests compared to predictable hardware cache coherence mechanisms. We present a systematic approach towards designing predictable cache coherence mechanisms that offer tight WCL and high-performance. Our approach consists of a formal framework that concisely captures the key reasons behind the high WCL in existing predictable cache coherence mechanisms. Guided by this formal framework, we describe one technique that employs micro-architectural extensions and protocol changes to achieve tight WCL and high-performance. We apply this technique to two existing cache coherence mechanisms. Our evaluation shows that the new cache coherence mechanisms resulting from our technique have the same tight WCL as alternative mechanisms, and still maintain a significant average-case performance advantage (up to 5× speedup) over the alternative mechanisms.
机译:可预测的硬件缓存一致性是由于其可预测性和高性能效益,在实时多核平台上部署的安全关键任务之间的有吸引力的数据通信机制。然而,从最坏的情况下,替代数据通信机制出现在实时多核平台中采用的有利光。这是因为与可预测硬件高速缓存相干机制相比,诸如高速缓存绕过提供更严格的最严格的最严格的最严格的最严格的最严格的最严格的最坏情况延迟(WCL)界限。我们提出了一种设计可预测的高速缓存相干机制,可提供紧密的WCL和高性能的可预测的高速缓存相干机制。我们的方法包括正式框架,简明扼要地捕获现有可预测的高速缓存一致性机制的高WCL背后的主要原因。通过这一正式框架的指导,我们描述了一种采用微型建筑扩展和协议的一种技术,以实现严格的WCL和高性能。我们将这种技术应用于两个现有的缓存一致性机制。我们的评价表明,由我们的技术引起的新的高速缓存相干机制具有相同的WCL作为替代机制,并且在替代机制上仍然保持了显着的平均例子性能优势(最多5倍)。

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