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

  • Yun Liang
  • Shuo Wang
  • Tulika Mitra
  • Yajun Ha
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 908)

Abstract

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.

Notes

Acknowledgments

This work was supported by the National Natural Science Foundation China (No. 61672048) and Beijing Natural Science Foundation (No. L172004). We thank all the anonymous reviewers for their feedback.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Center for Energy-Efficient Computing and Applications (CECA), School of EECSPeking UniversityBeijingChina
  2. 2.School of ComputingNational University of SingaporeSingaporeSingapore
  3. 3.School of Information Science and TechnologyShanghaiTech UniversityShanghaiChina

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