A Scalable All-Digital Near-Memory Computing Architecture for Edge AIoT Applications
With the growing need to process large volumes of data, edge computing near data collection sources has become increasingly important. However, the resource constraints of edge devices require more efficient data processing techniques. Near-memory computing (NMC) presents an efficient solution, espe...
Saved in:
| Main Authors: | Masoud Nouripayam, Arturo Prieto, Joachim Rodrigues |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11048466/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MAIL: Micro-Accelerator-in-the-Loop Framework for MCU Integrated Accelerator Peripheral Fast Prototyping
by: Jisu Kwon, et al.
Published: (2025-01-01) -
AIoT: a taxonomy, review and future directions
by: Jiyi WU, et al.
Published: (2021-08-01) -
Energy Efficiency of Kernel and User Space Level VPN Solutions in AIoT Networks
by: ALEKSANDAR JEVREMOVIC, et al.
Published: (2025-01-01) -
AIoT Monitoring for Early Identification of Diseases in Grapevines: Complete Study
by: Mihaela Hnatiuc, et al.
Published: (2025-01-01) -
Eecs-fl: energy-efficient client selection for federated learning in AIoT
by: Yiyang Zhang, et al.
Published: (2025-03-01)