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JSSC 2015第9期Other1.0µm/0.5µm混合工艺

Normally-Off Computing for Crystalline Oxide Semiconductor-Based Multicontext FPGA Capable of Fine-Grained Power Gating on Programmable Logic Element With Nonvolatile Shadow Register Takeshi Aoki, Y uki Okamoto, Takashi Nakagawa, Munehiro Kozuma, Y oshiyuk i Kurokawa, Takayuki Ikeda, Naoto Y amade, Y utaka Okazaki, Hidekazu Miyairi

基于结晶氧化物半导体的多上下文FPGA实现常关计算,提升能效。
1.0µm氧化物半导体/0.5µm CMOS, 2.5V, 20MHz, 功耗降低27.7%
常关计算多上下文FPGA结晶氧化物半导体细粒度电源门控非易失性寄存器
采用结晶氧化物半导体FET与CMOS FET混合工艺实现多上下文FPGA
提出支持细粒度电源门控的常关计算架构
利用非易失性影子寄存器实现任务快速恢复
Abstract
Normally-off computing (Noff computing) using a multicontext field programmable gate array (MC-FPGA) consisting of crystalline oxide semiconductor FETs has been developed. The Noff computing di scussed in this paper is a control architecture for an MC-FPGA capable of performing fine-g rained power gating on each programmable logic element (PLE) whose registers include a volatile register and also a nonvolatile shadow register for storing and loading data in the volatile r egister. The MC-FPGA performs fine-grained control of power supplied only to PLEs contributing to effe ctive calculation, when context switching happens. With an MC-FPGA fabricated with ah y b r i d process of a 1.0 µm crystalline oxide semiconductor FET on a 0.5 µm CMOS FET, it has been confirmed that the proposed Noff computing can resume the previous task when a context switches back to it, increases PLE use efficiency, and reduces the power consumption by 27.7% at operat ing frequencies of 20 MHz with a driving voltage of 2.5 V.