A time-predictable stack cache

Sahar Abbaspour, F. Brandner, Martin Schoeberl
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引用次数: 34

Abstract

Real-time systems need time-predictable architectures to support static worst-case execution time (WCET) analysis. One architectural feature, the data cache, is hard to analyze when different data areas (e.g., heap allocated and stack allocated data) share the same cache. This sharing leads to less precise results of the cache analysis part of the WCET analysis. Splitting the data cache for different data areas enables composable data cache analysis. The WCET analysis tool can analyze the accesses to these different data areas independently. In this paper we present the design and implementation of a cache for stack allocated data. Our port of the LLVM C++ compiler supports the management of the stack cache. The combination of stack cache instructions and the hardware implementation of the stack cache is a further step towards time-predictable architectures.
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时间可预测的堆栈缓存
实时系统需要时间可预测的体系结构来支持静态最坏情况执行时间分析。当不同的数据区域(例如,堆分配和堆栈分配的数据)共享相同的缓存时,很难分析数据缓存这一架构特性。这种共享导致WCET分析的缓存分析部分的结果不太精确。为不同的数据区域分割数据缓存,可以进行可组合的数据缓存分析。WCET分析工具可以独立分析对这些不同数据区域的访问。在本文中,我们提出了一个堆栈分配数据缓存的设计和实现。我们的LLVM c++编译器支持栈缓存的管理。堆栈缓存指令和堆栈缓存的硬件实现的结合是向时间可预测架构迈出的又一步。
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