JSSC 2023第4期Digital Circuits

Non-Linear CNN-Based Read Channel for Hard Disk Drive With 30 Error Rate Reducti

首款基于CNN的硬盘驱动器读取通道ASIC，错误率降低30.3%

200Mbits/s, 0.86nJ/bit, ~4TOPS/W

卷积神经网络硬盘驱动器ASIC量化脉动阵列

▸首次在HDD读取通道中嵌入非线性检测能力

▸采用深度可分离卷积层和脉动阵列实现高吞吐量连续检测

▸定制量化ReLU单元保持低精度特征图并恢复量化损失

Abstract

In this work, we present the world first ASIC implementation of a machine learning (ML)-based data detec- tion channel for hard disk drives (HDDs) using a customized convolutional neural network (CNN). The chip demonstrates a 30.3% error rate reduction over the state-of-the-art HDD detec- tion channel with two-dimensional magnetic recording (TDMR) setting. The work incorporates a full-scale co-optimization flow between the ML algorithms and the customized hardware design for achieving: 1) superi