Optimization of nanoelectronic systems' reliability under massive defect density using cascaded R-fold modular...

Area of Science:

• Electrical Engineering
• Computer Architecture
• Nanotechnology

Background:

• Future nanoscale technologies face challenges with high defect densities.
• Fault-tolerant techniques are crucial for building reliable large-scale systems.
• Existing techniques require optimization for massive defect levels.

Purpose of the Study:

• To theoretically analyze and compare R-fold modular redundancy, cascaded R-fold modular redundancy, and NAND multiplexing.
• To perform optimal cluster size and redundancy analysis for cascaded R-fold modular redundancy in large-scale systems.
• To determine the optimal application window for each technique based on defect density for reliability and power/area trade-offs.

Main Methods:

• Theoretical analysis of fault-tolerant techniques.
• Comparative analysis based on resistance to massive defect densities.
• Optimization of cluster size and redundancy for cascaded R-fold modular redundancy.
• Analysis of design trade-offs between reliability, power, and area.

Main Results:

• Comparison of fault-tolerant techniques under high defect density conditions.
• First-time optimal cluster size and redundancy analysis for cascaded R-fold modular redundancy in large-scale systems.
• Identification of optimal application windows for each technique relative to defect density.
• Demonstration that high power/area costs are inherent to future nanoscale systems with high defect densities.

Conclusions:

• Fault-tolerant techniques offer varying degrees of resistance to massive defect densities.
• Optimizing R-fold modular redundancy is key for large-scale systems in high-defect environments.
• Design choices involve trade-offs between system reliability and resource consumption (power/area).
• Significant power and area costs are unavoidable in future nanoscale systems with high defect densities, irrespective of the fault-tolerant strategy.