Affiliation:
1. University of Connecticut
Abstract
Nano/molecular technologies have emerged as the potential fabrics for building future integrated systems. However, due to the imperfect fabrication process, these extremely scaled devices are vulnerable to a large number of defects and transient faults. Memory systems, which are the primary application targeted by these technologies, are particularly exposed to this problem due to the ultra-high integration density and elevated error sensitivity. In this article, we propose a defect-tolerant technique, referred to as
hybrid redundancy allocation
, for the design of molecular crossbar memory systems. By using soft redundancy (runtime exploitation of memory spatial/temporal locality) in combination with hardware redundancy (spare memory cells), the proposed technique can achieve better error management at a low cost as compared with conventional techniques. Simulation results demonstrate the significant improvement in defect tolerance, efficiency, and scalability of the proposed technique.
Funder
Center for Hierarchical Manufacturing, National Science Foundation
Focus Center Research Program
Center on Functionally Engineering Nano Architectonics
National Science Foundation
Publisher
Association for Computing Machinery (ACM)
Subject
Electrical and Electronic Engineering,Hardware and Architecture,Software
Cited by
2 articles.
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