Name
Title | ||
|---|---|---|
NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning. |
Abstract | ||
|---|---|---|
Neuro-inspired architectures based on synaptic memory arrays have been proposed for on-chip acceleration of weighted sum and weight update in machine/deep learning algorithms. In this paper, we developed NeuroSim, a circuit-level macro model that estimates the area, latency, dynamic energy, and leakage power to facilitate the design space exploration of neuro-inspired architectures with mainstream... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCAD.2018.2789723 | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems |
Keywords | Field | DocType |
Computer architecture,Microprocessors,Integrated circuit modeling,Artificial neural networks,Algorithm design and analysis,Neuromorphics | Computer architecture,Algorithm design,Computer science,Neuromorphic engineering,Electronic engineering,Multilayer perceptron,Artificial intelligence,Deep learning,Macro,Artificial neural network,Design space exploration,Hierarchical organization | Journal |
Volume | Issue | ISSN |
37 | 12 | 0278-0070 |
Citations | PageRank | References |
18 | 0.90 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pai-Yu Chen | 1 | 79 | 7.49 |
| Xiaochen Peng | 2 | 61 | 12.17 |
| Shimeng Yu | 3 | 490 | 56.22 |