Peipei Zhou

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 40

Top Topics

Rapid Prototyping

Weakly Supervised

Matrix Multiplication

Convolutional Neural Networks

Top Venues

Publications

Shixin Ji, Zhuoping Yang, Xingzhen Chen, Jingtong Hu, Yiyu Shi, Alex K. Jones, Peipei Zhou
Towards Data-center Level Carbon Modeling and Optimization for Deep Learning Inference. CoRR (2024)
Jinming Zhuang, Zhuoping Yang, Shixin Ji, Heng Huang, Alex K. Jones, Jingtong Hu, Yiyu Shi, Peipei Zhou
SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration. CoRR (2024)
Zhuoping Yang, Shixin Ji, Xingzhen Chen, Jinming Zhuang, Weifeng Zhang, Dharmesh Jani, Peipei Zhou
Challenges and Opportunities to Enable Large-Scale Computing via Heterogeneous Chiplets. ASPDAC (2024)
Preston Brazzle, Benjamin F. Morris III, Evan McKinney, Peipei Zhou, Jingtong Hu, Asif Ali Khan, Alex K. Jones
Towards Error Correction for Computing in Racetrack Memory. CoRR (2024)
Shixin Ji, Zhuoping Yang, Stephen Cahoon, Alex K. Jones, Peipei Zhou
Towards Carbon Modeling of Cloud Servers with Accelerators. CoRR (2024)
Jinming Zhuang, Zhuoping Yang, Shixin Ji, Heng Huang, Alex K. Jones, Jingtong Hu, Yiyu Shi, Peipei Zhou
SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration. FPGA (2024)
Peipei Zhou, Jinming Zhuang, Stephen Cahoon, Yue Tang, Zhuoping Yang, Xingzhen Chen, Yiyu Shi, Jingtong Hu, Alex K. Jones
REFRESH FPGAs: Sustainable FPGA Chiplet Architectures. CoRR (2023)
Zhuoping Yang, Shixin Ji, Xingzhen Chen, Jinming Zhuang, Weifeng Zhang, Dharmesh Jani, Peipei Zhou
Challenges and Opportunities to Enable Large-Scale Computing via Heterogeneous Chiplets. CoRR (2023)
Ruiyang Qin, Jun Xia, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Peipei Zhou, Jingtong Hu, Yiyu Shi
Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis. CoRR (2023)
Jinming Zhuang, Zhuoping Yang, Peipei Zhou
High Performance, Low Power Matrix Multiply Design on ACAP: from Architecture, Design Challenges and DSE Perspectives. DAC (2023)
Jinming Zhuang, Zhuoping Yang, Peipei Zhou
AutoMM: Energy-Efficient Multi-Data-Type Matrix Multiply Design on Heterogeneous Programmable System-on-Chip. CoRR (2023)
Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou
CHARM: Composing Heterogeneous Accelerators for Matrix Multiply on Versal ACAP Architecture. CoRR (2023)
Zhuoping Yang, Jinming Zhuang, Jiaqi Yin, Cunxi Yu, Alex K. Jones, Peipei Zhou
AIM: Accelerating Arbitrary-precision Integer Multiplication on Heterogeneous Reconfigurable Computing Platform Versal ACAP. CoRR (2023)
Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Jason Cong
Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. ACM TUR-C (2023)
Sébastien Ollivier, Sheng Li, Yue Tang, Stephen Cahoon, Ryan Caginalp, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones
Sustainable AI Processing at the Edge. IEEE Micro 43 (1) (2023)
Zhuoping Yang, Jinming Zhuang, Jiaqi Yin, Cunxi Yu, Alex K. Jones, Peipei Zhou
AIM: Accelerating Arbitrary-Precision Integer Multiplication on Heterogeneous Reconfigurable Computing Platform Versal ACAP. ICCAD (2023)
Peipei Zhou, Jinming Zhuang, Stephen Cahoon, Yue Tang, Zhuoping Yang, Xingzhen Chen, Yiyu Shi, Jingtong Hu, Alex K. Jones
REFRESH FPGAs: Sustainable FPGA Chiplet Architectures. IGSC (2023)
Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou
CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP Architecture. FPGA (2023)
Sébastien Ollivier, Sheng Li, Yue Tang, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones
Sustainable AI Processing at the Edge. CoRR (2022)
Yue Tang, Xinyi Zhang, Peipei Zhou, Jingtong Hu
EF-Train: Enable Efficient On-device CNN Training on FPGA through Data Reshaping for Online Adaptation or Personalization. ACM Trans. Design Autom. Electr. Syst. 27 (5) (2022)
Yue Tang, Xinyi Zhang, Peipei Zhou, Jingtong Hu
EF-Train: Enable Efficient On-device CNN Training on FPGA Through Data Reshaping for Online Adaptation or Personalization. CoRR (2022)
Xinyi Zhang, Cong Hao, Peipei Zhou, Alex K. Jones, Jingtong Hu
H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication Awareness. CoRR (2022)
Xinyi Zhang, Cong Hao, Peipei Zhou, Alex K. Jones, Jingtong Hu
H2H: heterogeneous model to heterogeneous system mapping with computation and communication awareness. DAC (2022)
Yue Tang, Yawen Wu, Peipei Zhou, Jingtong Hu
Enabling Weakly-Supervised Temporal Action Localization from On-Device Learning of the Video Stream. CoRR (2022)
Yue Tang, Yawen Wu, Peipei Zhou, Jingtong Hu
Enabling Weakly Supervised Temporal Action Localization From On-Device Learning of the Video Stream. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Xinyi Zhang, Yawen Wu, Peipei Zhou, Xulong Tang, Jingtong Hu
Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices. ACM Trans. Embed. Comput. Syst. 20 (5s) (2021)
Peipei Zhou, Jiayi Sheng, Cody Hao Yu, Peng Wei, Jie Wang, Di Wu, Jason Cong
MOCHA: Multinode Cost Optimization in Heterogeneous Clouds with Accelerators. FPGA (2021)
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. FCCM (2020)
Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong
Caffeine: Toward Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (11) (2019)
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. ISPASS (2018)
Zhenyuan Ruan, Tong He, Bojie Li, Peipei Zhou, Jason Cong
ST-Accel: A High-Level Programming Platform for Streaming Applications on FPGA. FCCM (2018)
Yuze Chi, Jason Cong, Peng Wei, Peipei Zhou
SODA: stencil with optimized dataflow architecture. ICCAD (2018)
Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou
Best-Effort FPGA Programming: A Few Steps Can Go a Long Way. CoRR (2018)
Yuze Chi, Peipei Zhou, Jason Cong
An Optimal Microarchitecture for Stencil Computation with Data Reuse and Fine-Grained Parallelism: (Abstract Only). FPGA (2018)
Jason Cong, Peng Wei, Cody Hao Yu, Peipei Zhou
Latte: Locality Aware Transformation for High-Level Synthesis. FCCM (2018)
Jason Cong, Peng Wei, Cody Hao Yu, Peipei Zhou
Bandwidth Optimization Through On-Chip Memory Restructuring for HLS. DAC (2017)
Yu-Ting Chen, Jason Cong, Zhenman Fang, Peipei Zhou
ARAPrototyper: Enabling Rapid Prototyping and Evaluation for Accelerator-Rich Architecture (Abstact Only). FPGA (2016)
Yu-Ting Chen, Jason Cong, Zhenman Fang, Bingjun Xiao, Peipei Zhou
ARAPrototyper: Enabling Rapid Prototyping and Evaluation for Accelerator-Rich Architectures. CoRR (2016)
Chen Zhang, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong
Caffeine: towards uniformed representation and acceleration for deep convolutional neural networks. ICCAD (2016)
Peipei Zhou, Hyunseok Park, Zhenman Fang, Jason Cong, André DeHon
Energy Efficiency of Full Pipelining: A Case Study for Matrix Multiplication. FCCM (2016)
Jason Cong, Hui Huang, Chiyuan Ma, Bingjun Xiao, Peipei Zhou
A Fully Pipelined and Dynamically Composable Architecture of CGRA. FCCM (2014)