← 返回 JSSC 论文列表JSSC 2023第10期Memory40nmNeural Network Accelerator
A Charge Recycling Logic Data Links for Single- and Multiple-Channel IOs Han Wu
提出一种新型电荷回收逻辑,用于单通道和多通道IO,显著降低功耗。
40nm CMOS, 2.56 Gb/s (TSV), 5.12 Gb/s (T-Line), 32.2%-47% 能效提升
电荷回收IO接口功耗优化TSV传输线
▸电荷回收逻辑实现>20%的功耗降低
▸适用于TSV和传输线链路的通用CR技术
▸多通道CR在相反转换期间补充电荷
Abstract
Wide input-output (IO) chip-to-chip interfaces, such
as 3-D chip stacking [through-silicon via (TSV)], silicon inter-
poser in high-bandwidth memory (HBM), and other 2.5-D
chip-to-chip interface, handle a large amount of data in the server
and artificial intelligence (AI) applications. With a large number
of IOs, power consumption becomes a huge burden. This article
presents a novel charge recycling (CR) logic with >20% power
reduction under random data streaming. The presented generic
CR techni