Phase change memory (PCM) has been considered as a replacement of DRAM, due to its
potentials in high storage density and low leakage power. However, the limited write …

Deep neural networks (DNNs) have emerged as the most effective programming paradigm
for computer vision and natural language processing applications. With the rapid …

Deep Neural Networks (DNNs) have been found to outperform conventional programming
approaches in several applications such as computer vision and natural language …

We propose a novel ultra-low-power, voltage-based compute-in-memory (CIM) design with
a new single-ended 8T SRAM bit cell structure. Since the proposed SRAM bit cell uses a …

Conventional DRAM and flash memory are reaching their scaling limits thus motivating
research in various emerging memory technologies as a potential replacement. Among …

A novel Built-In Self-Test (BIST) algorithm is proposed in this paper, which is used for testing
low-voltage SRAM. The algorithm is the improvement of March C+ algorithm, which …

Asynchronous On-Chip Networks and Fault-Tolerant Techniques is the first comprehensive
study of fault-tolerance and fault-caused deadlock effects in asynchronous on-chip networks …

In this article, we present a simple, yet energy-and area-efficient method for tolerating the
stuck-at faults caused by an endurance issue in secure-resistive main memories. In the …

In this paper, we investigate and compare different emerging memory technologies as on-
chip cache for big data and signal processing applications. Static Random Access Memory …

Block-level cooperation is an endurance management technique that operates on top of
error correction mechanisms to extend memory lifetimes. Once an error recovery scheme …