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Adapting Layer RBERs Variations of 3D Flash Memories via Multi-granularity Progressive LDPC Reading

机译:通过多粒度渐进式LDPC读取适应3D闪存的RBER层变化

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Existing studies have uncovered that there exist significant Raw Bit Error Rates (RBERs) variations among different layers of 3D flash memories due to manufacture process variation. These RBER variations would cause significantly diversed read latencies when reading data with traditional Low-Density Parity-Check (LDPC) codes designed for planar flash memories, which induces sub-optimal read performance of flash-based Solid-State Drives (SSDs). To investigate the latency diversity, this paper first performs a preliminary experiment and observes that LDPC read levels proportional to latencies increase in diverse speeds along with data retention. Then, by exploiting the observation results, a Multi-Granularity LDPC (MG-LDPC) read method is proposed to adapt level increase speed for each layer. Five LDPC engines with varied increase granularity are designed to adapt RBER speed requirements. Finally, two implementations for MG-LDPC are applied to assign LDPC engines for each flash layer in a fixed way or dynamically according to prior read levels. Experimental results show that the proposed two implementations can reduce SSD read response time by 21% and 47% on average, respectively.CCS CONCEPTS• Hardware→Temperature optimization; Network on chip; 3D integrated circuits.
机译:现有研究发现,由于制造工艺的差异,在3D闪存的不同层之间存在明显的原始误码率(RBER)差异。当使用为平面闪存设计的传统低密度奇偶校验(LDPC)代码读取数据时,这些RBER差异将导致读取延迟差异很大,从而导致基于闪存的固态驱动器(SSD)的读取性能不佳。为了研究等待时间的多样性,本文首先进行了初步实验,并观察到与等待时间成比例的LDPC读取级别以各种速度随着数据保留而增加。然后,通过利用观察结果,提出了一种多粒度LDPC(MG-LDPC)读取方法,以适应每一层的电平增加速度。五个具有不同增加粒度的LDPC引擎旨在适应RBER速度要求。最后,应用了MG-LDPC的两种实现方式,以固定方式或根据先前的读取级别动态地为每个闪存层分配LDPC引擎。实验结果表明,所提出的两种实现方案可以分别平均降低SSD读取响应时间21%和47%。CCS CONCEPTS•硬件→温度优化;片上网络; 3D集成电路。

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