Non-linear CNN-based Read Channel for Hard Disk Drive with 30% Error Rate Reduction and Sequential 200Mbits/second Throughput in 28nm CMOS

Yuwei Qin, Ruben Purdy, Alec Probst, Ching-Yi Lin, J. Zhu
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引用次数: 2

Abstract

In this work, we present the first ASIC implementation of CNN-based data detection channel for HDDs with 30.3% error rate reduction than the SOTA detection channel. Our chip demonstrates the first methodology of systematically embedding non-linear capacity into HDD read channel with the following features (1) a fully unrolled CNN with dedicated silicon for each convolution layer to produce fast sequential time series data detection at 200 Mbits/s, (2) in total 6 depthwise-separable convolution layers implemented with 2 types of systolic arrays and 100% PE utilization for continuous data flow and high pipelining, (3) integer-only convolutions for improved efficiency at 0.86nJ/bit and 3.99TOPS/W, and (4) pipelined (QReLU) to maintain low-precision feature maps and recover accuracy loss from model quantization.
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基于非线性cnn的28纳米CMOS硬盘读通道误差率降低30%,连续吞吐量200Mbits/s
在这项工作中,我们提出了第一个基于cnn的hdd数据检测通道的ASIC实现,与SOTA检测通道相比,错误率降低了30.3%。我们的芯片展示了第一种系统地将非线性容量嵌入HDD读取通道的方法,具有以下特点:(1)完全展开的CNN,每个卷积层都有专用硅,以200 Mbits/s的速度产生快速的顺序时间序列数据检测;(2)总共6个深度可分离的卷积层,采用2种收缩阵列,100% PE利用率,用于连续数据流和高流水线。(3)纯整数卷积,提高了0.86nJ/bit和3.99TOPS/W的效率;(4)流水线(QReLU),维持低精度的特征映射,恢复模型量化带来的精度损失。
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