论文标题
高效的模拟凸轮设计
Efficient Analog CAM Design
论文作者
论文摘要
内容可寻址的记忆（CAM）被认为是内存计算（IMC）的钥匙驱动器。与传统计算技术相比，IMC显示了能源效率和吞吐量的数量级。最近，提出了模拟凸轮（ACAM）作为提高存储密度和能效的一种手段。在这项工作中，我们提出了两个新的ACAM细胞，以改善与现有ACAM细胞相比的数据编码和鲁棒性。我们提出了一种方法来选择数据编码的边距和间隔宽度。此外，我们在间隔，噪声灵敏度，动态范围，能量，潜伏期，区域和失败概率方面对先前工作进行了全面的比较。
Content Addressable Memories (CAMs) are considered a key-enabler for in-memory computing (IMC). IMC shows order of magnitude improvement in energy efficiency and throughput compared to traditional computing techniques. Recently, analog CAMs (aCAMs) were proposed as a means to improve storage density and energy efficiency. In this work, we propose two new aCAM cells to improve data encoding and robustness as compared to existing aCAM cells. We propose a methodology to choose the margin and interval width for data encoding. In addition, we perform a comprehensive comparison against prior work in terms of the number of intervals, noise sensitivity, dynamic range, energy, latency, area, and probability of failure.
