← 返回 JSSC 论文列表
📄 下载 JSSC 原文 PDF
JSSC 2021第7期RF & Wireless65nmNeural Network Accelerator

MEDAC: A Metastability Condition Detection and Correction Technique for a Near-Threshold-V oltage Multi-V oltage-/Frequency-Domain Network-on-Chip

提出一种用于近阈值电压NoC的亚稳态检测与纠正技术MEDAC,显著降低亚稳态概率并提升性能。
0.4-1V供电电压,频率比0.25至4,数据率提升21.1%,能效提升27.2%
亚稳态检测近阈值电压网络芯片时钟相位调整能效提升
双采样电路检测亚稳态条件
自适应调整接收时钟相位以减少亚稳态
支持多电压/频率域的GALS系统
Abstract
This article presents a technique titled metastability condition detection and correction (MEDAC) that is featured in a near-threshold voltage (NTV) network-on-chip (NoC) hardware. The proposed technique introduces a double-sampling-based circuitry to detect whether the input data arrives too close to the receiver’s clock edge, which is defined as a metasta- bility condition. The MEDAC also contains a metastability condition mitigation scheme to monitor if the occurrence of such metastability conditions is frequent, and adaptively tune the receiver’s clock phase to increase the mean time between metastability conditions. We prototype a test chip of the NoC in a 65-nm low-power process, which supports four independent voltage/frequency (V/F) domains in globally asynchronous locally synchronous (GALS) systems. Measurements across 0.4–1-V sup- ply voltages with 13 different frequency ratios from 0.25 to 4 show that the MEDAC can well detect the metastability conditions and reduce the probability of entering such conditions by one to three orders of magnitude. This reduction, in turn, reduces the potential incorrect packets, thereby improving the data rate and energy efficiency by up to 21.1% and 27.2%, respectively.