ELEMENT: Energy-Efficient Multi-NoP Architecture for IMC-Based 2.5-D Accelerator for DNN Training
- Resource Type
- Periodical
- Authors
- Neethu, K.; Shahana, K.C.S.; James, R.K.; Jose, J.; Mandal, S.K.
- Source
- IEEE Design & Test IEEE Des. Test Design & Test, IEEE. 40(6):51-63 Dec, 2023
- Subject
- Computing and Processing
Components, Circuits, Devices and Systems
Training
Artificial neural networks
Random access memory
Energy efficiency
Topology
Fabrication
Energy consumption
Network-on-chip
DNN Training
2.5D Architecture
In-Memory Computing
Network-on-Package
- Language
- ISSN
- 2168-2356
2168-2364
In this article, an architecture for in-memory computing (IMC)-based 2.5-D systems with multiple Network-on-Package (NoP) components is proposed.