Paper Title

Neuronlink: An Effective Large Scale Neural Network Accelerators Based on Chip-To-Chip Interconnect

Article Identifiers

Registration ID: IJNRD_181217

Published ID: IJNRDA001063

DOI: Click Here to Get

Authors

Brindha J , Thathiksha S , Swetha S , Nanditha K , SurthiS

Keywords

Neural Network Accelerator, Deep Neural Network, Nodes

Abstract

To control strong neuron-to-neuron traffic, Many processing nodes form a high-level neural network (NN), which can be used as a spinal or multi-core tool and built using network-on-chip (NoC). Chip-to-chip communication networks bring together many NN-based processors based on NoC to improve complete neural acceleration. A large amount of multicast-based traffic passes through a chip or between chips, making it difficult to network communication design and NN system performance and power impact. We recommend NeuronLink for NN accelerators in this study, which combines intrachip and interchip communication methods. With virtual-channel intrachip communication, we provide cross-cutting solution, troubleshooting, and compatible route calculation methods, resulting in the best NoC with reduced hardware cost based on multiple streams. For interchip communications, we propose a chip-to-chip communication system with NoC-aware that allows for efficient communication of NN-based NN devices. We have also put the proposed methods to the test on DNN-based NoC chips with four flexible gate frames (FPGAs). Test results show that the proposed communication network can better manage data flow within DNNs with higher output and less overhead compared to modern connections.

How To Cite (APA)

Brindha J, Thathiksha S, Swetha S, Nanditha K, & SurthiS (May-2022). Neuronlink: An Effective Large Scale Neural Network Accelerators Based on Chip-To-Chip Interconnect . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(5), 348-352. https://ijnrd.org/papers/IJNRDA001063.pdf

Issue

Volume 7 Issue 5, May-2022

Pages : 348-352

Other Publication Details

Paper Reg. ID: IJNRD_181217

Published Paper Id: IJNRDA001063

Downloads: 000121999

Research Area: Engineering

Country: TIRUVALLUR, TAMIL NADU, India

Published Paper PDF: https://ijnrd.org/papers/IJNRDA001063.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRDA001063

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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Call For Paper - Volume 10 | Issue 10 | October 2025

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Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

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