论文标题
使用铁电时域计算中的矩阵矢量乘法和关联搜索的均质加工结构
A Homogeneous Processing Fabric for Matrix-Vector Multiplication and Associative Search Using Ferroelectric Time-Domain Compute-in-Memory
论文作者
论文摘要
在这项工作中，我们提出了一种用于二进制乘法利用（MAC）和内容可寻址存储器（CAM）的均质处理结构，提出了一种均匀的处理织物（CAM）。我们证明：i）XOR（XNOR）/和逻辑函数可以使用由串联连接的2 fefet组成的单个单元进行实现； ii）在逆变器链中进行的两阶段计算，每个阶段都有XOR/和Cell，以控制相关的电容器加载，并且二进制MAC和CAM的计算结果反映在链输出信号延迟中，说明了完整的数字兼容性； iii）对拟议的2Fefet细胞和逆变器延迟链及其对FEFET变化的稳健性的全面理论和实验验证； iv）均质处理结构用于超维度计算中，以显示动态和细粒度的资源分配，以适应需要对二进制MAC和CAM资源的不同要求的不同任务。
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.
