首页> 外文会议>International Symposium on Low Power Electronics and Design >Memory energy management for an enterprise decision support system
【24h】

Memory energy management for an enterprise decision support system

机译:企业决策支持系统的内存能量管理

获取原文

摘要

Energy efficiency is an important factor in designing and configuring enterprise servers. In these servers, memory may consume 40% of the total system power. Different memory configurations (sizes, numbers of ranks, speeds, etc.) can have significant impacts on the performance and energy consumption of enterprise workloads. Many of these workloads, such as decision support systems (DSS), require large amounts of memory. This paper investigates the potential to save energy by making the memory configuration adaptive to workload behavior. We present a case study on how memory configurations affect energy consumption and performance for running DSS. We measure the energy consumption and performance of a commercial enterprise server, and develop a model to describe the conditions when energy can be saved with acceptable performance degradation. Using this model, we identify opportunities to save energy in future enterprise servers.
机译:能效是设计和配置企业服务器的重要因素。在这些服务器中,内存可能会消耗总系统功率的40%。不同的内存配置(大小,等级,速度等)可能对企业工作负载的性能和能耗产生重大影响。许多这些工作负载(例如决策支持系统(DSS))都需要大量的内存。本文通过使内存配置适应工作负载行为来调查节省能量的可能性。我们展示了内存配置如何影响运行DSS的能耗和性能的案例研究。我们测量商业企业服务器的能耗和性能,并开发模型来描述能量可以使用可接受的性能下降保存能量时的条件。使用此模型,我们确定在未来的企业服务器中节省能源的机会。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号