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The transformer encoder is a cutting-edge deep neural network used in natural language processing, machine translation, and computer vision. We have developed an FPGA-based hardware accelerator that can efficiently run different transformer encoder models while enabling high parallelism and optimized communication to minimize latency.

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This page is a summary of: ProTEA: Programmable Transformer Encoder Acceleration on FPGA, November 2024, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/scw63240.2024.00074.
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