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Temperature-aware data allocation strategy for 3D charge-trap flash memory

机译：3D电荷陷阱闪存的温度感知数据分配策略

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摘要

Three-dimensional (3D) flash memory is emerging as an attractive solution to overcome the scaling bottleneck in sub-20 nanometer design. Compared to the conventional planar flash memory, current 3D flash memory adopts charge-trap technology that can significantly enhance cell density and storage capacity. Despite these advantages, novel material and fabricate process in charge-trap flash memory bring new challenges. Recent studies demonstrate that charge-trap flash is sensitive to thermal yield. This issue does not happen in two-dimensional flash memory which adopts floating gate technology. For 3D flash memory with charge-trap technology, the high temperature will incur both charge loss and retention degradation. The large capacity data block in 3D flash memory also causes extra garbage collection overhead, which makes the temperature issue even worse. This paper presents TempLoad, a temperature-aware data allocation strategy for 3D charge-trap flash memory. TempLoad is a novel hardware and file system interface that can transparently allocate physical space based on the temperature status. TempLoad adopts several address mapping strategies to fully utilize the storage capacity and reduce the garbage collection overhead. The objective is to prevent the generation of hotspots and enhance the data integrity of 3D flash memory. Experimental results show that the proposed technique can reduce the peak temperature by 28.49% and reduce uncorrectable page errors by 83.71% with negligible timing overhead in comparison with previous work.
机译：三维（3D）闪存作为克服20纳米以下设计中的缩放瓶颈的有吸引力的解决方案正在兴起。与传统的平面闪存相比，当前的3D闪存采用电荷陷阱技术，可以显着提高单元密度和存储容量。尽管具有这些优点，但电荷陷阱闪存中新颖的材料和制造工艺带来了新的挑战。最近的研究表明，电荷陷阱闪光对热产率很敏感。在采用浮栅技术的二维闪存中不会发生此问题。对于采用电荷陷阱技术的3D闪存，高温会导致电荷损失和保持能力下降。 3D闪存中的大容量数据块还导致额外的垃圾收集开销，这使温度问题更加严重。本文介绍了TempLoad，这是一种用于3D电荷陷阱闪存的温度感知数据分配策略。 TempLoad是一种新颖的硬件和文件系统接口，可以根据温度状态透明地分配物理空间。 TempLoad采用多种地址映射策略，以充分利用存储容量并减少垃圾收集开销。目的是防止热点的产生并增强3D闪存的数据完整性。实验结果表明，与以前的工作相比，该技术可以将峰值温度降低28.49％，将不可校正的页面错误减少83.71％，而定时开销却可以忽略不计。

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