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Software Thermal Management of DRAM Memory for Multicore Systems

机译:多核系统DRAM存储器的软件热管理

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Thermal management of DRAM memory has become a critical issue for server systems. We have done, to our best knowledge, the first study of software thermal management for memory subsystem on real machines. Two recently proposed DTM (Dynamic Thermal Management) policies have been improved and implemented in Linux OS and evaluated on two multicore servers, a Dell PowerEdge 1950 server and a customized Intel SR1500AL server testbed. The experimental results first confirm that a system-level memory DTM policy may significantly improve system performance and power efficiency, compared with existing memory bandwidth throttling scheme. A policy called DTM-ACG (Adaptive Core Gating) shows performance improvement comparable to that reported previously. The average performance improvements are 13.3% and 7.2% on the PowerEdge 1950 and the SR1500AL (vs. 16.3% from the previous simulation-based study), respectively. We also have surprising findings that reveal the weakness of the previous study: the CPU heat dissipation and its impact on DRAM memories, which were ignored, are significant factors. We have observed that the second policy, called DTM-CDVFS (Coordinated Dynamic Voltage and Frequency Scaling), has much better performance than previously reported for this reason. The average improvements are 10.8% and 15.3% on the two machines (vs. 3.4% from the previous study), respectively. It also significantly reduces the processor power by 15.5% and energy by 22.7% on average.
机译:DRAM内存的热管理已成为服务器系统的关键问题。据我们所知,我们已经完成了对真实机器上的内存子系统的软件热管理的首次研究。最近提出的两个DTM(动态热管理)策略已得到改进,并在Linux OS中实施,并在两个多核服务器,Dell PowerEdge 1950服务器和定制的英特尔SR1500AL服务器测试台上进行了评估。实验结果首先证实,与现有的内存带宽限制方案相比,系统级内存DTM策略可以显着提高系统性能和电源效率。名为DTM-ACG(自适应核心门控)的策略显示出与以前报告的性能相比可提高的性能。 PowerEdge 1950和SR1500AL的平均性能改进分别为13.3%和7.2%(与之前基于模拟的研究的16.3%相比)。我们还有令人惊讶的发现,这些发现揭示了先前研究的不足:被忽略的CPU散热及其对DRAM存储器的影响是重要因素。我们已经观察到第二个策略,称为DTM-CDVFS(动态电压和频率缩放比例协调),由于这个原因,其性能比以前报告的要好得多。两台机器的平均改进率分别为10.8%和15.3%(先前研究为3.4%)。平均而言,它还可显着降低处理器功耗15.5%和能耗22.7%。

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