RISC-V SoC With Neuromorphic Accelerator for SNNs
Team
- E/19/129, Gunawardana K.H., e19129@eng.pdn.ac.lk
- E/19/275, Peeris M.S., e19275@eng.pdn.ac.lk
- E/19/309, Rambukwella H.M.W.K.G., e19309@eng.pdn.ac.lk
Supervisors
- Dr. Isuru Nawinne, isurunawinne@eng.pdn.ac.lk
- Prof. Roshan G. Ragel, roshanr@eng.pdn.ac.lk
Table of content
- Abstract
- Related works
- Methodology
- Experiment Setup and Implementation
- Results and Analysis
- Conclusion
- Publications
- Links
Abstract
This project focuses on designing a RISC-V SoC integrated with a Neuromorphic Accelerator for small-scale Spiking Neural Network (SNN) applications. The RISC-V processor manages the accelerator to enable low-power, low-latency edge computing. This system is aimed at providing efficient, real-time AI capabilities for embedded systems and edge devices, ideal for neuromorphic processing.
Related works
[Content will be added here based on literature review.]
Methodology
[Content will be added here based on methodology and design.]
Experiment Setup and Implementation
[Details about the experimental setup and implementation will be described here.]
Results and Analysis
[Results, performance measurements, and analysis will be included here.]
Conclusion
[Conclusion summarizing findings, contributions, and future work will be included here.]