Accelerating Data-Parallel Neural Network Training with Weig…
Emerging
0
Citations24
Refs2021
Year
Search Works
Work Details
- DOI 10.1142/s0129626421500092
- OpenAlex ID W3159868421
- Type Article
- Language EN
- Published 06 May 2021
- Volume 31 (02)
- Pages 2150009
- Source Parallel Processing Letters
- Publisher World Scientific
- Countries 1
- Institutions 1
- Added 10 May 2021
- Updated 14 Oct 2026
External Links
MENU
0
Accelerating Data-Parallel Neural Network Training with Weighted-Averaging Reparameterisation
Article 2021 EN
Recent advances in artificial intelligence has shown a direct correlation between the performance of a network and the number of hidden layers within the network. The Compute Unified Device Architecture (CUDA) framework facilitates the movement of heavy computation from the CPU to the graphics processing unit (GPU) and is used to accelerate the training of neural networks. In this paper, we consid…
0
Citations
24
References
2
Authors
0.00
FWCI
Topics
Keywords
Authors & Affiliations
2 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Sterling K. Ramroach | University of the West Indies (TT) | |
| 2 | Ajay Joshi | University of the West Indies (TT) | — |
Related Works
10Data: OpenAlex