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首页> 外文期刊>Fortschritte der Physik >Analytic Multi-Core Processor Model for Fast Design-Space Exploration
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Analytic Multi-Core Processor Model for Fast Design-Space Exploration

机译:快速设计空间探索的分析多核处理器模型

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Simulators help computer architects optimize system designs. The limited performance of simulators even of moderate size and detail makes the approach infeasible for design-space exploration of future exascale systems. Analytic models, in contrast, offer very fast turn-around times. In this paper we propose an analytic multi-core processor-performance model that takes as inputs a) a parametric microarchitecture-independent characterization of the target workload, and b) a hardware configuration of the core and the memory hierarchy. The processor-performance model considers instruction-level parallelism (ILP) per type, models single instruction, multiple data (SIMD) features, and considers cache and memory-bandwidth contention between cores. We validate our model by comparing its performance estimates with measurements from hardware performance counters on Intel Xeon and ARM Cortex-A15 systems. We estimate multi-core contention with a maximum error of 11.4 percent. The average single-thread error increases from 25 percent for a state-of-the-art simulator to 59 percent for our model, but the correlation is still 0.8, a high relative accuracy, while we achieve a speedup of several orders of magnitude. With a much higher capacity than simulators and more reliable insights than back-of-the-envelope calculations it makes automated design-space exploration of exascale systems possible, which we show using a real-world case study from radio astronomy.
机译:Simulator帮助计算机架构师优化系统设计。模拟器的性能有限,即使是适度的大小和细节也使得该方法对未来Exascale系统的设计空间探索不可行。相比之下,分析模型提供了非常快的转弯时间。在本文中,我们提出了一个分析多核处理器 - 性能模型,它是输入a)目标工作负载的参数微架构无关表征,b)核心和存储器层次结构的硬件配置。处理器 - 性能模型考虑每种类型的指令级并行性(ILP),模拟单个指令,多个数据(SIMD)功能,并考虑核心之间的缓存和内存带宽争用。我们通过比较Intel Xeon和ARM Cortex-A15系统上的硬件性能计数器的测量结果来验证我们的模型。我们估计多核争用,最大误差为11.4%。平均单线误差从最先进的模拟器的25%增加到我们的模型的59%,但相关性仍然是0.8,相对高的准确性,而我们达到了几个数量级的加速。比模拟器的容量更高,更可靠的见解,而不是信封的重新计算,它使Exastale Systems的自动化设计空间探索能够展示使用射频天文学的真实案例研究。

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