Accelerating Transformer Neural Networks on FPGAs for High Energy Physics Experiments

Research article (2022 International Conference on Field-Programmable Technology (ICFPT), 2022) · cited 12× · AI/ML
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Accelerating Transformer Neural Networks on FPGAs for High Energy Physics Experiments

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Accelerating Transformer Neural Networks on FPGAs for High Energy Physics Experiments is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Accelerating Transformer Neural Networks on FPGAs for High Energy Physics Experiments. Retrieved May 24, 2026, from https://4ort.xyz/entity/accelerating-transformer-neural-networks-on-fpgas-for-high-energy-physics-experiments
MLA “Accelerating Transformer Neural Networks on FPGAs for High Energy Physics Experiments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/accelerating-transformer-neural-networks-on-fpgas-for-high-energy-physics-experiments.
BibTeX @misc{4ortxyz_accelerating-transformer-neural-networks-on-fpgas-for-high-energy-physics-experiments_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Accelerating Transformer Neural Networks on FPGAs for High Energy Physics Experiments}}, year = {2026}, url = {https://4ort.xyz/entity/accelerating-transformer-neural-networks-on-fpgas-for-high-energy-physics-experiments}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Accelerating Transformer Neural Networks on FPGAs for High Energy Physics Experiments — https://4ort.xyz/entity/accelerating-transformer-neural-networks-on-fpgas-for-high-energy-physics-experiments (retrieved 2026-05-24)

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