Rappy Saha
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126
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2026
FlexViT: A Flexible FPGA-based Accelerator for Edge Vision Transformers
This paper presents FlexViT, a reconfigurable FPGA accelerator for efficient Vision Transformer (ViT) inference on edge devices, achieving up to 2.74x speedup on accelerator-executed layers.
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cs.ARcs.CVcs.DCEmpiricalRecentJun 30, 2026
FlexViT: A Flexible FPGA-based Accelerator for Edge Vision Transformers
Hubert Dymarkowski, Xingjian Fu, Rappy Saha, Jude Haris +1 more
This paper presents FlexViT, a reconfigurable FPGA accelerator for efficient Vision Transformer (ViT) inference on edge devices, achieving up to 2.74x speedup on accelerator-executed layers.
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