可伸缩的、暂时可预测的内存结构

S. Moore
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引用次数: 1

摘要

更快的处理器用于解决通常需要更大内存的更大问题。不幸的是,这阻止了内存访问延迟随处理器速度的变化而变化,因此,采用了多级缓存,利用引用的时间和空间局部性来弥合性能差距。然而,缓存性能很难预测,这对于硬实时系统来说是有问题的。提出了一种存取频率(而非延迟)随处理器速度变化而变化的树型内存结构,以及基于可扩展内存模块的虚拟寻址机制和基于页面的内存保护功能。结论是,多线程处理器将是理想的,以利用硬实时应用程序的并发性来容忍内存树的延迟
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scalable temporally predictable memory structures
Faster processors are used to tackle larger problems which typically require a larger memory. Unfortunately this prohibits memory access latency from scaling with processor speed, Consequently, multiple levels of caching are employed which utilise temporal and spatial locality of reference to bridge the performance gap. However, cache performance is difficult to predict which is problematic for hard real-time systems. A tree memory structure, whose access frequency, rather than latency, can scale with processor speed, is proposed, together with a scalable memory module base virtual addressing mechanism and page based memory protection using capabilities. It is concluded that a multi-threaded processor would be desirable to utilise the concurrency of hard real-time applications to tolerate the latency of the memory tree.<>
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