Author

Deepu John

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Preprint Oct 2026

ZTA-Q: an Open-source RISC-V Platform for Accurate Quantized CNN Inference

Low-precision inference is widely adopted in edge AI to reduce computational cost and memory footprint. However, existing open-source accelerator platforms provide limited end-to-end support for CNNs following the standard TensorFlow Lite integer inference scheme. This paper presents ZTA-Q, an open-source RISC-V-based...

Yi-Ke Li, M. AjayKumar, PS Vishnu et al. · 0 citations

Preprint Oct 2026

AdaptViT: Runtime-Adaptive Vision Transformer Deployment on Custom RISC-V

Deploying Vision Transformers (ViTs) on low-power edge devices is challenging due to high computational demands. Conventional pruning frameworks require a separate compiled binary for each sparsity level, increasing storage overhead and limiting runtime adaptability. This paper presents an end-to-end deployment pipelin...

PS Vishnu, M. AjayKumar, Yi-Ke Li et al. · 0 citations