基于阻性交叉点阵列的新型内存矩阵-矩阵乘法

Yan Liao, Huaqiang Wu, W. Wan, Wenqiang Zhang, B. Gao, H. Philip Wong, H. Qian
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引用次数: 12

摘要

阻性交叉点阵列可以用模拟方式实现向量矩阵乘法。然而,输出是模拟电流的形式,因此需要在数字存储之前进行A/D转换。本文开发并演示了一种新的内存矩阵-矩阵乘法方法(M2M),该方法可以直接在存储器中计算和存储结果,而无需进行a /D转换。与传统方法相比,M2M在能量效率和面积效率上提高了>10倍,在矩阵低秩稀疏情况下又提高了2个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel In-Memory Matrix-Matrix Multiplication with Resistive Cross-Point Arrays
Resistive cross-point array can be used to implement vector-matrix multiplication in analog fashion. However, the output is in the form of analog current, and thus requires A/D conversion prior to digital storage. This paper develops and demonstrates a novel in-memory matrix-matrix multiplication method (M2M) that can compute and store the result directly inside the memory itself without requiring A/D conversion. Compared with the conventional approach, M2M provides >10 × improvement in energy and area efficiency, and another 2 orders improvement when matrices are low-rank and sparse.
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