基于铁电时域存储器的矩阵向量乘法和联想搜索的均匀处理结构
A Homogeneous Processing Fabric for Matrix-Vector Multiplication and Associative Search Using Ferroelectric Time-Domain Compute-in-Memory
摘要：
在这项工作中，我们提出了一个铁电场效应管（FeFET）的时域计算存储器（TD-CiM）阵列作为一个均匀的处理结构的二进制乘法累加（MAC）和内容可寻址存储器（CAM）。我们证明：ii）反相器链中的两阶段计算，其中每一级的特征在于XOR/AND单元以控制相关联的电容器负载，并且二进制MAC和CAM的计算结果反映在链输出信号延迟中，说明完全数字兼容性; iii）对所提出的2FeFET单元和反相器延迟链及其对FeFET变化的鲁棒性的全面理论和实验验证; iv）将均匀处理结构应用于多维计算中，以显示动态和精细-粒度资源分配，以适应需要对二进制MAC和CAM资源的不同需求的不同任务。
英文摘要：
In this work, we propose a ferroelectric FET(FeFET) time-domain compute-in-memory (TD-CiM) array as a homogeneous processing fabric for binary multiplication-accumulation (MAC) and content addressable memory (CAM). We demonstrate that: i) the XOR(XNOR)/AND logic function can be realized using a single cell composed of 2FeFETs connected in series; ii) a two-phase computation in an inverter chain with each stage featuring the XOR/AND cell to control the associated capacitor loading and the computation results of binary MAC and CAM are reflected in the chain output signal delay, illustrating full digital compatibility; iii) comprehensive theoretical and experimental validation of the proposed 2FeFET cell and inverter delay chains and their robustness against FeFET variation; iv) the homogeneous processing fabric is applied in hyperdimensional computing to show dynamic and fine-grain resource allocation to accommodate different tasks requiring varying demands over the binary MAC and CAM resources.
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