(2019) 2019 TCAD Donald O. Pederson Best Paper Award.
(2018) 2018 ICCAD Best Paper Nominee.
(2018) 2018 Phi Tau Phi Scholarship.
(2018) 2018 ISPASS Best Paper Nominee.
PhD, University of California, Los Angeles, 2014 - 2019
MS, University of California Los Angeles, 2012 - 2014
Zhang, C., Sun, G., Fang, Z., Zhou, P., Pan, P., & Cong, J. (2019). Caffeine: Toward Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 38(11), 2072-2085.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TCAD.2017.2785257.
Lo, M., Fang, Z., Wang, J., Zhou, P., Chang, M.C.F., & Cong, J. (2020). Algorithm-Hardware Co-design for BQSR Acceleration in Genome Analysis ToolKit. In 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 00, (pp. 157-166).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/fccm48280.2020.00029.
Chi, Y., Cong, J., Wei, P., & Zhou, P. (2018). SODA. In Proceedings of the International Conference on Computer-Aided Design, (pp. 1-8).Association for Computing Machinery (ACM). doi: 10.1145/3240765.3240850.
Cong, J., Wei, P., Yu, C.H., & Zhou, P. (2018). Latte: Locality Aware Transformation for High-Level Synthesis. In 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), (pp. 125-128).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/fccm.2018.00028.
Ruan, Z., He, T., Li, B., Zhou, P., & Cong, J. (2018). ST-Accel: A High-Level Programming Platform for Streaming Applications on FPGA. In 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), (pp. 9-16).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/fccm.2018.00011.
Zhou, P., Ruan, Z., Fang, Z., Shand, M., Roazen, D., & Cong, J. (2018). Doppio: I/O-Aware Performance Analysis, Modeling and Optimization for In-Memory Computing Framework. In 2018 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), (pp. 22-32).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ispass.2018.00011.
Cong, J., Wei, P., Yu, C.H., & Zhou, P. (2017). Bandwidth Optimization Through On-Chip Memory Restructuring for HLS. In Proceedings of the 54th Annual Design Automation Conference 2017, (pp. 1-6).Association for Computing Machinery (ACM). doi: 10.1145/3061639.3062208.
Zhang, C., Fang, Z., Zhou, P., Pan, P., & Cong, J. (2016). Caffeine. In Proceedings of the 35th International Conference on Computer-Aided Design, (pp. 1-8).Association for Computing Machinery (ACM). doi: 10.1145/2966986.2967011.
Zhou, P., Park, H., Fang, Z., Cong, J., & DeHon, A. (2016). Energy Efficiency of Full Pipelining: A Case Study for Matrix Multiplication. In 2016 IEEE 24th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), (pp. 172-175).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/fccm.2016.50.
Cong, J., Huang, H., Ma, C., Xiao, B., & Zhou, P. (2014). A Fully Pipelined and Dynamically Composable Architecture of CGRA. In 2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines, (pp. 9-16).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/fccm.2014.12.