Chang, Sung-En, Li, Yanyu, Sun, Mengshu, Shi, Runbin, So, Hayden K.-H., Qian, Xuehai, Wang, Yanzhi, and Lin, Xue. Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. Retrieved from https://par.nsf.gov/biblio/10281959. Proc. of High Performance Computing Architecture (HPCA) . Web. doi:10.1109/HPCA51647.2021.00027.

Chang, Sung-En, Li, Yanyu, Sun, Mengshu, Shi, Runbin, So, Hayden K.-H., Qian, Xuehai, Wang, Yanzhi, & Lin, Xue. Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. Proc. of High Performance Computing Architecture (HPCA), (). Retrieved from https://par.nsf.gov/biblio/10281959. https://doi.org/10.1109/HPCA51647.2021.00027

Chang, Sung-En, Li, Yanyu, Sun, Mengshu, Shi, Runbin, So, Hayden K.-H., Qian, Xuehai, Wang, Yanzhi, and Lin, Xue. "Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework". Proc. of High Performance Computing Architecture (HPCA) (). Country unknown/Code not available. https://doi.org/10.1109/HPCA51647.2021.00027. https://par.nsf.gov/biblio/10281959.

@article{osti_10281959,
place = {Country unknown/Code not available}, title = {Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework}, url = {https://par.nsf.gov/biblio/10281959}, DOI = {10.1109/HPCA51647.2021.00027}, abstractNote = {}, journal = {Proc. of High Performance Computing Architecture (HPCA)}, author = {Chang, Sung-En and Li, Yanyu and Sun, Mengshu and Shi, Runbin and So, Hayden K.-H. and Qian, Xuehai and Wang, Yanzhi and Lin, Xue}, editor = {null} }