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Integrating Memory Perspective into the BSC Performance Tools

机译:将内存视角集成到BSC性能工具中

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The growing gap between processor and memory speeds results in complex memory hierarchies as processors evolve to mitigate such differences by taking advantage of locality of reference. In this direction, the BSC performance analysis tools have been recently extended to provide insight relative the application memory accesses depicting their temporal and spatial characteristics, correlating with the source-code and the achieved performance simultaneously. These extensions rely on the Precise Event-Based Sampling (PEBS) mechanism available in recent Intel processors to capture information relative to the application memory accesses. The sampled information is processed with the Folding mechanism to provide a detailed temporal evolution of the memory accesses and in conjunction with the achieved performance and the source-code counterpart. The results obtained from the combination of these tools help application developers to understand better how the application behaves and how the system performs. We demonstrate the value of the complete work-flow by exploring an already optimized state-of-the-art benchmark, providing detailed insight of their memory access behavior.
机译:处理器和存储器速度之间的越来越多的差距导致复杂的存储层级,因为处理器演变以通过利用参考的局部性来减轻这种差异。在这种方向上,最近已经扩展了BSC性能分析工具,以提供相对于应用程序存储器访问的识别,描绘了它们的时间和空间特性,同时与源代码和实现的性能相关联。这些扩展依赖于最近的英特尔处理器中可用的基于精确的事件的采样(PEB)机制,以捕获相对于应用程序存储器访问的信息。利用折叠机制处理采样信息,以提供存储器访问的详细时间演进,并且结合实现的性能和源代码对应。从这些工具的组合获得的结果有助于应用程序开发人员了解应用程序的表现以及系统如何执行方式。我们通过探索已经优化的最先进的基准来展示完整的工作流程的价值,提供了对内存访问行为的详细介绍。

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