Analytical Two-Level Near Threshold Cache Exploration for Low Power Biomedical Applications

摘要：

　　Emerging biomedical applications generally work at low/medium frequencies and require ultra-low energy.Near threshold processors with near threshold caches are proposed to be the computing platforms for these applications.There exists a large design space for multi-level near threshold cache hierarchies,which requires a fast design space exploration framework.In this paper,we first propose three different two-level near threshold cache architectures with different performance and energy tradeoff.Then,we describe the design space of a two-level near threshold cache hierarchy and develop an accurate and fast analytical design space exploration framework to analyze this space.Experiments indicate that significant energy saving(59%)on average is achieved by our new near threshold cache architecture.Moreover,our analytical framework is shown to be both accurate and efficient.

作者: Yun Liang Shuo Wang Tulika Mitra Yajun Ha

作者单位: Center for Energy-Efficient Computing and Applications(CECA),School of EECS,Peking University,Beijin School of Computing,National University of Singapore,Singapore,Singapore School of Information Science and Technology,ShanghaiTech University,Shanghai,China

会议类型: 国际会议

会议名称: the 12th Conference on Advanced Computer Architecture?(ACA 2018)(2018年全国计算机体系结构学术年会)

会议地点: 辽宁营口

会议语种:英文

页码: 95-108

在线出版日期: 2018-08-10（万方平台首次上网日期，不代表论文的发表时间）