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Interrupt Based Hardware Support for Profiling Memory System Performance

机译:基于中断的硬件支持,可分析内存系统性能

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Fueled by higher clock rates and superscalar technologies, growth in processor speed continues to outpace improvement in memory system performance. Reflecting this trend, architects are developing increasingly complex memory hierarchies to mask the speed gap, compiler writers are adding locality enhancing transformations to better utilize complex memory hierarchies, and applications programmers are recoding their algorithms to exploit memory systems. All of these groups need empirical data on memory system behavior to guide their optimizations. This paper describes how to combine simple hardware support and sampling techniques to obtain such data without appreciably perturbing system performance. The idea is implemented in the Mprof prototype that profiles data stall cycles, first level cache misses, and second level misses on the Sun Sparc 10/41.
机译:在更高的时钟频率和超标量技术的推动下,处理器速度的增长继续超过内存系统性能的提高。反映这种趋势的是,架构师正在开发越来越复杂的内存层次结构以掩盖速度差距,编译器编写者正在添加局部性增强转换以更好地利用复杂的内存层次结构,而应用程序程序员正在重新编码其算法以利用内存系统。所有这些组都需要有关内存系统行为的经验数据来指导其优化。本文介绍了如何结合简单的硬件支持和采样技术来获取此类数据,而不会明显影响系统性能。这个想法在Mprof原型中实现,该原型在Sun Sparc 10/41上描述了数据停顿周期,一级缓存未命中和二级未命中。

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