# An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications

## TL;DR

This paper reviews recent advances in using emerging non-volatile memory technologies for in-memory processing to improve performance and energy efficiency in data-intensive applications, highlighting system architectures and applications.

## Contribution

It provides a comprehensive overview of recent research on eNVM-based in-memory processing, covering memory technologies, system integration, supported operations, and applications.

## Key findings

- eNVMs offer excellent scalability and low energy consumption.
- In-memory processing architectures are evolving with emerging non-volatile memories.
- Applications span various data-intensive domains.

## Abstract

The conventional von Neumann architecture has been revealed as a major performance and energy bottleneck for rising data-intensive applications. %, due to the intensive data movements. The decade-old idea of leveraging in-memory processing to eliminate substantial data movements has returned and led extensive research activities. The effectiveness of in-memory processing heavily relies on memory scalability, which cannot be satisfied by traditional memory technologies. Emerging non-volatile memories (eNVMs) that pose appealing qualities such as excellent scaling and low energy consumption, on the other hand, have been heavily investigated and explored for realizing in-memory processing architecture. In this paper, we summarize the recent research progress in eNVM-based in-memory processing from various aspects, including the adopted memory technologies, locations of the in-memory processing in the system, supported arithmetics, as well as applied applications.