J.Y. Wu, Y.S. Chen, W. Khwa, S. Yu, T. Wang, J. Tseng, Y. Chih, Carlos H. Díaz
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引用次数: 35
摘要
在40nm低功耗逻辑平台上演示了一种嵌入式相变存储技术,其增加的工艺复杂性最小-在标准逻辑上增加了两个非关键掩模。采用特别设计的硬掩膜和蚀刻工艺,达到50% shrinkage of the memory cell bottom electrode dimension with same lithography tooling as the 40nm logic platform. Bottom electrode CD shrinkage along with optimization of the electrode materials in terms of electrical and thermal conductivity enabled significant (∼4x) write current reduction attaining competitive levels of $\sim 300\ \mu\mathrm{A}$ at 40nm BE CD. Embedded PCM cells reported in this work demonstrated over 100x memory window - (RESET/SET resistance switching ratio), over 200k cycling endurance with extrapolated 10 year retention at 120 °C. In this work not only large switching resistance ratios but also highly-controllable resistance values that are almost independent of the PCM starting resistance state are presented along with the corresponding programing pulse requirements. The switching resistance ratio and resistance value controllability are key features for neural network and compute-in-memory applications. In this work, their benefits on design margins for energy efficient high-density binary neural network for inference applications aiming accuracy levels of well over 90% is asserted over an MNIST dataset.
A 40nm Low-Power Logic Compatible Phase Change Memory Technology
An embedded phase change memory technology in 40nm low-power logic platform is demonstrated with minimal added process complexity - two non-critical additional masks over standard logic. Specially designed hard mask and etching process was used to achieve 50% shrinkage of the memory cell bottom electrode dimension with same lithography tooling as the 40nm logic platform. Bottom electrode CD shrinkage along with optimization of the electrode materials in terms of electrical and thermal conductivity enabled significant (∼4x) write current reduction attaining competitive levels of $\sim 300\ \mu\mathrm{A}$ at 40nm BE CD. Embedded PCM cells reported in this work demonstrated over 100x memory window - (RESET/SET resistance switching ratio), over 200k cycling endurance with extrapolated 10 year retention at 120 °C. In this work not only large switching resistance ratios but also highly-controllable resistance values that are almost independent of the PCM starting resistance state are presented along with the corresponding programing pulse requirements. The switching resistance ratio and resistance value controllability are key features for neural network and compute-in-memory applications. In this work, their benefits on design margins for energy efficient high-density binary neural network for inference applications aiming accuracy levels of well over 90% is asserted over an MNIST dataset.