Sun, Mengshu, Li, Zhengang, Lu, Alec, Li, Yanyu, Chang, Sung-En, Ma, Xiaolong, and Lin, Xue. FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization. Retrieved from https://par.nsf.gov/biblio/10323474. Proceedings of the 30th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA) . Web. doi:10.1145/3490422.3502364.

Sun, Mengshu, Li, Zhengang, Lu, Alec, Li, Yanyu, Chang, Sung-En, Ma, Xiaolong, & Lin, Xue. FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization. Proceedings of the 30th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA), (). Retrieved from https://par.nsf.gov/biblio/10323474. https://doi.org/10.1145/3490422.3502364

Sun, Mengshu, Li, Zhengang, Lu, Alec, Li, Yanyu, Chang, Sung-En, Ma, Xiaolong, and Lin, Xue. "FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization". Proceedings of the 30th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA) (). Country unknown/Code not available. https://doi.org/10.1145/3490422.3502364. https://par.nsf.gov/biblio/10323474.

@article{osti_10323474,
place = {Country unknown/Code not available}, title = {FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization}, url = {https://par.nsf.gov/biblio/10323474}, DOI = {10.1145/3490422.3502364}, abstractNote = {}, journal = {Proceedings of the 30th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA)}, author = {Sun, Mengshu and Li, Zhengang and Lu, Alec and Li, Yanyu and Chang, Sung-En and Ma, Xiaolong and Lin, Xue}, }