In this work, we developed nvramdisk, a transactional block device driver for byte-
addressable NVRAM. nvramdisk effectively addresses the key technical challenges in using …

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 …

Emerging nonvolatile memories (NVMs) suffer from low write endurance, resulting in early
cell failures (hard errors), which reduce memory lifetime. It was recognized early on that …

Phase change memory is a promising alternative to conventional memories such as DRAM
due to its density and non-volatility. Unfortunately, reliability is still a challenge as limited …

Resistive memories, such as phase change memories and resistive random access
memories, have attracted significant research interest because of their scalability, non …

A novel error correction scheme, called reset-checkreverse-flag (RCRF), is proposed to
improve the reliability of storage class memories (SCMs). RCRF divides the conventional …

Abstract Systems, methods, and apparatus related to memory devices. In one approach, a
memory device has a memory array including memory cells. A controller of the memory …

Multipath propagation phenomenon often causes Inter-Symbol Interference (ISI) because
several copies from the originally transmitted signal travel in different directions and reach …

The multilevel-cell NAND flash memory experiences permanent hard errors due to cell
defects (stuck cells). To overcome this problem, stuck cells are either regarded as erasures …