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September 24, 20250 citationsOpen Access

VESTA: A Hardware Accelerator for Spiking Neural Networks and Transformers

VESTA: A Versatile SNN-Based Transformer Accelerator with Unified PEs for Multiple Computational Layers

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Authors

CCChing-Yao ChenMCMeng-Chieh ChenTCTian‐Sheuan Chang

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Overview

Novel accelerator design shows enhanced efficiency in image classification using spiking neural networks, implying broader applications for AI.

Key Points

  • VESTA integrates spiking neural networks and transformers for improved computational efficiency.
  • Unified processing elements deliver performance with low power consumption, achieving real-time classification.
  • Experimental results indicate VESTA's core area is 0.844 mm², with an operational frequency of 500 MHz.
  • The design utilizes spike-form outputs to simplify multiplication operations, enhancing overall processing speed.

Cite This Study

Chen et al. (2025) studied this question.

synapsesocial.com/papers/68d6e14f8b2b6861e4c3faefhttps://doi.org/10.48550/arxiv.2503.20246
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