A Survey on Computing-in-Memory (CiM) and Emerging Nonvolatile Memory (NVM) Simulators
Modern computer applications have become highly data-intensive, giving rise to an increase in data traffic between the processor and memory units. Computing-in-Memory (CiM) has shown great promise as a solution to this aptly named von Neumann bottleneck problem by enabling computation within the mem...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Chips |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2674-0729/4/2/19 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Modern computer applications have become highly data-intensive, giving rise to an increase in data traffic between the processor and memory units. Computing-in-Memory (CiM) has shown great promise as a solution to this aptly named von Neumann bottleneck problem by enabling computation within the memory unit and thus reducing data traffic. Many simulation tools in the literature have been proposed to enable the design space exploration (DSE) of these novel computer architectures as researchers are in need of these tools to test their designs prior to fabrication. This paper presents a collection of classical nonvolatile memory (NVM) and CiM simulation tools to showcase their capabilities, as presented in their respective analyses. We provide an in-depth overview of DSE, emerging NVM device technologies, and popular CiM architectures. We organize the simulation tools by design-level scopes with respect to their focus on the devices, circuits, architectures, systems/algorithms, and applications they support. We conclude this work by identifying the gaps within the simulation space. |
|---|---|
| ISSN: | 2674-0729 |