Check out my new research group website! http://peipeizhou-eecs.github.io/
Peipei Zhou is now a tenure-track assistant professor at the University of Pittsburgh, Electrical and Computer Engineering Department. Peipei received her Ph.D. in Computer Science under supervision of Prof. Cong in August 2019. She received her M.S. degree under supervision of Prof. Cong on June. 2014 and B.S. degree from Chien-Shiung Wu Honors College of Southeast University, Nanjing, China on June, 2012.
Her research interests lie in architecture and programming, performance and energy model for customized computing. She is involved in research projects including customized computing for precision medicine, deep learning, and accelerator-rich architectures.
She has received “Outstanding Recognition in Research” from UCLA Samueli School of Engineering in 2019. Her works have received the 2019 Best Paper Award from IEEE Transactions on Computer-Aided Design of Circuits and Systems, Best Paper Nominees in 2018 ISPASS, 2018 ICCAD.
Google Scholar: here LinkedIn: https://www.linkedin.com/in/zhoupeipei
UCLA email: memoryzpp@cs.ucla.edu
Publication: * is First Author Paper
Distributed System:
12*. Peipei Zhou, Zhenyuan Ruan, Zhenman Fang, Megan Shand, David Roazen, Jason Cong. Doppio: I/O-Aware Performance Analysis, Modeling and Optimization for In-Memory Computing Framework. 2018 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS '18), Belfast, United Kindom, April, 2018, Best Paper Nominee
11. Yu-Ting Chen, Jason Cong, Sen Li, Myron Peto, Paul Spellman, Peng Wei, and Peipei Zhou. CS-BWAMEM: A fast and scalable read aligner at the cloud scale for whole genome sequencing. High Throughput Sequencing Algorithms and Applications (HITSEQ) Poster Session Dublin, Ireland, July 2015. Best Poster Award
Architecture:
10*. Peipei Zhou, Jiayi Sheng, Cody Hao Yu, Peng Wei, Jie Wang, Di Wu, Jason Cong. Mocha: Multinode cost optimization in heterogeneous clouds with accelerators.The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays
9. Michael Lo, Zhenman Fang, Jie Wang, Peipei Zhou, Mau-Chung Frank Chang, Jason Cong. Algorithm-Hardware Co-design for BQSR Acceleration in Genome Analysis ToolKit. 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)
8. Yuze Chi, Jason Cong, Peng Wei, Peipei Zhou. SODA: stencil with optimized dataflow architecture. 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) Best Paper Nominee
7. Zhenyuan Ruan, Tong He, Bojie Li, Peipei Zhou, Jason Cong. ST-Accel: A high-level programming platform for streaming applications on FPGA. 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)
6*. Jason Cong, Peng Wei, Cody Hao Yu, Peipei Zhou. Latte: Locality Aware Transformation for High-Level Synthesis. IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM'18), Boulder, May 2018.
5. Chen Zhang, Zhenman Fang, Peipei Zhou, Jason Cong. Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. 2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2016), Austin, November 2016. 2019 IEEE CEDA TCAD Best Paper
4*. Peipei Zhou, Hyunseok Park, Zhenman Fang, Jason Cong, Andre DeHon. Energy Efficiency of Full Pipelining: A Case Study for Matrix Multiplication. IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM'16), Washington DC, May 2016.
3. Yu-Ting Chen, Jason Cong, Zhenman Fang, and Peipei Zhou. ARAPrototyper: Enabling Rapid Prototyping and Evaluation for the Accelerator-Rich Architecture. 24th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays(FPGA '16) Poster.
2. Yu-Ting Chen, Jason Cong, Zhenman Fang, Bingjun Xiao and Peipei Zhou. ARAPrototyper: Enabling Rapid Prototyping and Evaluation for the Accelerator-Rich Architecture. arxiv 2016. Oct.
1*. Jason Cong, Hui Huang*, Chiyuan Ma, Bingjun Xiao* and Peipei Zhou*. A Fully Pipelined and Dynamically Composable Architecture of CGRA. Proceedings of the 22nd IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM'14), Boston, Massachusetts, May 2014.
