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University of Glasgow
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FlexViT achieves up to 2.74x speedup for Vision Transformer inference on edge devices, revolutionizing the deployment of complex models in resource-constrained environments.
LLM-guided exploration can drastically cut down the time and expertise needed for efficient FPGA accelerator design, generating viable architectures that perform well on diverse AI tasks.
