Hybrid memories are envisioned as one of the alternatives to existing semiconductor memories. Although offering enormous data storage capacity, low power consumption, and reduced fabrication complexity (at least for the memory cell array), such memories are subject to a high degree of intermittent and transient faults leading to reliability issues. This article examines the use of Conventional Redundant Residue Number System (C-RRNS) error correction code, which has been extensively used in digital signal processing and communication, to detect and correct intermittent and transient cluster faults in hybrid memories. It introduces a modified version of C-RRNS, referred to as 6M-RRNS, to realize the aims at lower area overhead and performanc...
Existing work on fault tolerance in hybrid nanoelectronic memories (hybrid memories) assumes that f...
Although hybrid nanoelectronic memories (hybrid memories) promise scalability potentials such as ul...
Existing work on fault tolerance in hybrid nanoelectronic memories (hybrid memories) assumes that f...
Hybrid memories are envisioned as one of the alternatives to existing semiconductor memories. Althou...
Hybrid memories are envisioned as one of the alternatives to existing semiconductor memories. Althou...
Hybrid memories are one of the emerging memory technologies for future data storage. These memories ...
Shrinking of the device feature size allows high complexity systems to be designed and integrated wi...
Abstract — Crossbar memories are promising memory tech-nologies for future data storage. Although th...
Soft-decision based redundant residue number system (RRNS) assisted error control coding is proposed...
Abstract — This work presents some results on multiple error detection and correction based on the R...
The novel family of redundant residue number system (RRNS) codes is studied. RRNS codes constitute m...
In this contribution nonlinear coding theory is invoked in order to study redundant residue number s...
As memory technology scales, the demand for higher performance and reliable operation is increasing ...
Emerging nanoelectronic memories such as Resistive Random Access Memories (RRAMs) are possible candi...
Inherently error-resilient applications in areas such as signal processing, machine learning and dat...
Existing work on fault tolerance in hybrid nanoelectronic memories (hybrid memories) assumes that f...
Although hybrid nanoelectronic memories (hybrid memories) promise scalability potentials such as ul...
Existing work on fault tolerance in hybrid nanoelectronic memories (hybrid memories) assumes that f...
Hybrid memories are envisioned as one of the alternatives to existing semiconductor memories. Althou...
Hybrid memories are envisioned as one of the alternatives to existing semiconductor memories. Althou...
Hybrid memories are one of the emerging memory technologies for future data storage. These memories ...
Shrinking of the device feature size allows high complexity systems to be designed and integrated wi...
Abstract — Crossbar memories are promising memory tech-nologies for future data storage. Although th...
Soft-decision based redundant residue number system (RRNS) assisted error control coding is proposed...
Abstract — This work presents some results on multiple error detection and correction based on the R...
The novel family of redundant residue number system (RRNS) codes is studied. RRNS codes constitute m...
In this contribution nonlinear coding theory is invoked in order to study redundant residue number s...
As memory technology scales, the demand for higher performance and reliable operation is increasing ...
Emerging nanoelectronic memories such as Resistive Random Access Memories (RRAMs) are possible candi...
Inherently error-resilient applications in areas such as signal processing, machine learning and dat...
Existing work on fault tolerance in hybrid nanoelectronic memories (hybrid memories) assumes that f...
Although hybrid nanoelectronic memories (hybrid memories) promise scalability potentials such as ul...
Existing work on fault tolerance in hybrid nanoelectronic memories (hybrid memories) assumes that f...