Li, Zhengang, Sun, Mengshu, Lu, Alec, Ma, Haoyu, Yuan, Geng, Xie, Yanyue, Tang, Hao, Li, Yanyu, Leeser, Miriam, Wang, Zhangyang, Lin, Xue, and Fang, Zhenman. Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. Retrieved from https://par.nsf.gov/biblio/10415965. 2022 32nd International Conference on Field-Programmable Logic and Applications (FPL) . Web. doi:10.1109/FPL57034.2022.00027.

Li, Zhengang, Sun, Mengshu, Lu, Alec, Ma, Haoyu, Yuan, Geng, Xie, Yanyue, Tang, Hao, Li, Yanyu, Leeser, Miriam, Wang, Zhangyang, Lin, Xue, & Fang, Zhenman. Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. 2022 32nd International Conference on Field-Programmable Logic and Applications (FPL), (). Retrieved from https://par.nsf.gov/biblio/10415965. https://doi.org/10.1109/FPL57034.2022.00027

Li, Zhengang, Sun, Mengshu, Lu, Alec, Ma, Haoyu, Yuan, Geng, Xie, Yanyue, Tang, Hao, Li, Yanyu, Leeser, Miriam, Wang, Zhangyang, Lin, Xue, and Fang, Zhenman. "Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization". 2022 32nd International Conference on Field-Programmable Logic and Applications (FPL) (). Country unknown/Code not available. https://doi.org/10.1109/FPL57034.2022.00027. https://par.nsf.gov/biblio/10415965.

@article{osti_10415965,
place = {Country unknown/Code not available}, title = {Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization}, url = {https://par.nsf.gov/biblio/10415965}, DOI = {10.1109/FPL57034.2022.00027}, abstractNote = {}, journal = {2022 32nd International Conference on Field-Programmable Logic and Applications (FPL)}, author = {Li, Zhengang and Sun, Mengshu and Lu, Alec and Ma, Haoyu and Yuan, Geng and Xie, Yanyue and Tang, Hao and Li, Yanyu and Leeser, Miriam and Wang, Zhangyang and Lin, Xue and Fang, Zhenman}, }