NBTI-Aware Data Allocation Strategies for Scratchpad Based Embedded Systems

Abstract

The push to embed reliable and low-power memories architectures into modern systems-on-chip is driving the EDA community to develop new design techniques and circuit solutions that can concurrently optimize aging effects due to Negative Bias Temperature Instability (NBTI), and static power consumption due to leakage mechanisms. While recent works have shown how conventional leakage optimization techniques can help mitigate NBTI-induced aging effects on cache memories, in this paper we focus specifically on scratchpad memory (SPM) and present novel software approaches as a means of alleviating the NBTI-induced aging effects. In particular, we demonstrate how intelligent software directed data allocation strategies can extend the lifetime of partitioned SPMs by means of distributing the idleness across the memory sub-banks.