A Distributed Emulation Environment for In-Memory Computing Systems
Not on the map. Why?
Abstract (arXiv)
In-memory computing technology is used extensively in artificial intelligence devices due to lower power consumption and fast calculation of matrix-based functions. The development of such a device and its integration in a system takes a significant amount of time and requires the use of a real-time emulation environment, where various system aspects are analyzed, microcode is tested, and applications are deployed, even before the real chip is available. In this work, we present the architecture, the software development tools, and experimental results of a distributed and expandable emulation system for rapid prototyping of integrated circuits based on in-memory computing technologies. Presented experimental results demonstrate the usefulness of the proposed emulator.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 2 of its 15 references that are in the map. First posted on arXiv 9 Oct 2025.
Builds on
2 of 15 references.
References · 2
- 2015Deep Residual Learning for Image Recognitioncited by 51,809
- 2021End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet?cited by 2
Built on by
Citing papers per year: 2026: 1.
1 paper.