Energy-efficient and fast memristor-based serial multipliers applicable in image processing
Computation-in-memory (CIM) is a promising technique for overcoming the Von-Neumann bottleneck. Applying memristors in CIM reduces data transfer between processor and memory. Memristive CIM reduces energy consumption and processing time of data-intensive applications. Multipliers are one of the arit...
Saved in:
Main Authors: | Seyed Erfan Fatemieh, Bahareh Bagheralmoosavi, Mohammad Reza Reshadinezhad |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Results in Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S259012302500101X |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Recent Developments on Novel 2D Materials for Emerging Neuromorphic Computing Devices
by: Muhammad Hamza Pervez, et al.
Published: (2025-02-01) -
Memristor‐transistor hybrid ternary content addressable memory using ternary memristive memory cell
by: Masoodur Rahman Khan, et al.
Published: (2021-10-01) -
Highly Parallel Regular Expression Matching Using a Real Processing-in-Memory System
by: Jeonghyeon Joo, et al.
Published: (2025-01-01) -
High performance memristor device from solution processed MnO2 nanowires: Tuning of resistive switching from analog to digital and underlying mechanism
by: Rajkumar Mandal, et al.
Published: (2025-04-01) -
Pinched hysteresis loops in non‐linear resonators
by: Ahmed S. Elwakil, et al.
Published: (2021-03-01)