Main memory and cache performance of intel sandy bridge and AMD bulldozer

Daniel Molka, D. Hackenberg, R. Schöne
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引用次数: 58

Abstract

Application performance on multicore processors is seldom constrained by the speed of floating point or integer units. Much more often, limitations are caused by the memory subsystem, particularly shared resources such as last level caches or memory controllers. Measuring, predicting and modeling memory performance becomes a steeper challenge with each new processor generation due to the growing complexity and core count. We tackle the important aspect of measuring and understanding undocumented memory performance numbers in order to create valuable insight into microprocessor details. For this, we build upon a set of sophisticated benchmarks that support latency and bandwidth measurements to arbitrary locations in the memory subsystem. These benchmarks are extended to support AVX instructions for bandwidth measurements and to integrate the coherence states (O)wned and (F)orward. We then use these benchmarks to perform an indepth analysis of current ccNUMA multiprocessor systems with Intel (Sandy Bridge-EP) and AMD (Bulldozer) processors. Using our benchmarks we present fundamental memory performance data and illustrate performance-relevant architectural properties of both designs.
英特尔沙桥和AMD推土机的主存和缓存性能
多核处理器上的应用程序性能很少受到浮点或整数单元速度的限制。更多情况下,限制是由内存子系统引起的,特别是共享资源,如最后一级缓存或内存控制器。随着每一代新处理器的出现,由于复杂性和内核数量的增加,对内存性能的测量、预测和建模都成为一个更大的挑战。我们解决了测量和理解未记录的内存性能数字的重要方面,以便对微处理器细节产生有价值的见解。为此,我们构建了一组复杂的基准测试,这些基准测试支持对内存子系统中任意位置的延迟和带宽测量。这些基准被扩展到支持AVX指令的带宽测量,并集成相干状态(O)拥有和(F)向前。然后,我们使用这些基准测试对当前使用英特尔(Sandy Bridge-EP)和AMD(推土机)处理器的ccNUMA多处理器系统进行了深入分析。使用基准测试,我们展示了基本的内存性能数据,并说明了两种设计的性能相关架构属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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