首页> 外文期刊>Journal of Electronic Testing: Theory and Applications: Theory and Applications >Retention-Aware Refresh Techniques for Reducing Power and Mitigation of Data Retention Faults in DRAM
【24h】

Retention-Aware Refresh Techniques for Reducing Power and Mitigation of Data Retention Faults in DRAM

机译:用于降低DRAM中数据保留故障的功率和减轻的保留感知刷新技巧

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Due the leakage mechanisms exist in DRAM cells, DRAM cells lose stored information over time. Periodic refresh operations are inevitable for retaining the stored information. However, refresh operations are very power hungry and impact the bandwidth substantially since the refresh period is usually determined by the leakiest DRAM cells. A straightforward way for reducing refresh power is by merely extending the single standard refresh period. The incurred side effect is that more data retention faults (DRFs) will be generated and the fabrication yield will be sacrificed. To cure these dilemmas, a novel address remapping technique-the sub-bank address remapping (SBAR) technique is proposed in this paper. SBAR manipulates the logical-to-physical address remapping for each sub-bank such that the leakiest cells can be clustered and refreshed with their most suitable refresh periods. For the majority of DRAM cells, they can be refreshed with a longer refresh period such that the refresh power can be effectively reduced. The corresponding hardware architectures are also proposed. Experimental results show that we can respectively save 74.97% refresh power with less than 0.1% hardware overhead for a 1-Gb DRAM. Moreover, the fabrication yield can also be improved significantly.
机译:由于DRAM单元中存在泄漏机制,DRAM细胞随着时间的推移丢失存储的信息。定期刷新操作不可避免地保留存储的信息。然而,刷新操作非常耗电,并且基本上影响带宽,因为刷新周期通常由最漏洞的DRAM单元确定。用于减少刷新功率的直接方式是仅仅延长单个标准刷新周期。产生的副作用是将产生更多数据保留故障(DRF),并且将牺牲制造产量。为了解决这些困境,本文提出了一种新的地址重新映射技术 - 子组地址重新映射(SBAR)技术。 SBAL操纵每个子银行的逻辑到物理地址重新映射,使得最漏气的单元格可以聚集和刷新最合适的刷新周期。对于大多数DRAM电池,它们可以用更长的刷新时段刷新,使得可以有效地减少刷新功率。还提出了相应的硬件架构。实验结果表明,我们可以分别为1-GB DRAM的低于0.1%的硬件开销节省74.97%的刷新功率。此外,还可以显着提高制造产率。

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