Memory organization for low-energy processor-based application-specific systems

Yun Cao, Hiroto Yasuura

研究成果: Contribution to journalArticle査読


This paper presents a novel low-energy memory design technique based on variable analysis for on-chip data memory (RAM) in application-specific systems, which called VAbM technique. It targets the exploitation of both data locality and effective data width of variables to reduce energy consumed by data transfer and storage. Variables with higher access frequency and smaller effective data width are assigned into a smaller low-energy memory with fewer bit lines and word lines, placed closer the processor. Under constraints of the number of memory banks, VAbM technique use variable analysis results to perform allocating and assigning on-chip RAM into multiple banks, which have different size with different number of word lines and different number of bit lines tailored to each application requirements. Experimental results with several real embedded applications demonstrate significant energy reduction up to 64.8% over monolithic memory, and 27.7% compared to memory designed by memory banking technique.

ジャーナルIEICE Transactions on Electronics
出版ステータス出版済み - 8 2002

All Science Journal Classification (ASJC) codes

  • 電子材料、光学材料、および磁性材料
  • 電子工学および電気工学


「Memory organization for low-energy processor-based application-specific systems」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。