SPaC: a segment-based parallel compression for backup acceleration in nonvolatile processors

  • Authors:
  • Xiao Sheng;Yiqun Wang;Yongpan Liu;Huazhong Yang

  • Affiliations:
  • Tsinghua Univ. Beijing, China;Tsinghua Univ. Beijing, China;Tsinghua Univ. Beijing, China;Tsinghua Univ. Beijing, China

  • Venue:
  • Proceedings of the Conference on Design, Automation and Test in Europe
  • Year:
  • 2013

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Abstract

Nonvolatile processor (NVP) has become an emerging topic in recent years. The conventional NV processor equips each flip-flop with a nonvolatile storage for data backup, which results in much faster backup speed with significant area overheads. A compression based architecture (PRLC) solved the area problem but with a nontrivial increasing on backup time. This paper provides a segment-based parallel compression (SPaC) architecture to achieve tradeoffs between area and backup speed. Furthermore, we use an off-line and online hybrid method to balance the workloads of different compression modules in SPaC. Experimental results show that SPaC can achieve 76% speed up against PRLC and meanwhile reduces the area by 16% against conventional NV processors.