There has been a surge of interest in Non-Volatile Memory (NVM) in recent years. With
many advantages, such as density and power consumption, NVM is carving out a place in …

Recently, both industry and academia have proposed several different neuromorphic
systems to execute machine learning applications that are designed using Spiking Neural …

Modern computing systems are overwhelmingly designed to move data to computation. This
design choice goes directly against at least three key trends in computing that cause …

Many modern workloads, such as neural networks, databases, and graph processing, are
fundamentally memory-bound. For such workloads, the data movement between main …

This retrospective paper describes the RowHammer problem in dynamic random access
memory (DRAM), which was initially introduced by Kim et al. at the ISCA 2014 Conference …

NAND flash memory is ubiquitous in everyday life today because its capacity has
continuously increased and cost has continuously decreased over decades. This positive …

The unrelenting growth of the memory needs of emerging datacenter applications, along
with ever increasing cost and volatility of DRAM prices, has led to DRAM being a major …

Many modern and emerging applications must process increasingly large volumes of data.
Unfortunately, prevalent computing paradigms are not designed to efficiently handle such …

This paper investigates how to leverage emerging byte-addressable persistent memory
(PM) to enhance the performance of key-value (KV) stores. We present a novel KV store, the …

Byte-addressable non-volatile memory (NVM) features high density, DRAM comparable
performance, and persistence. These characteristics position NVM as a promising new tier …