Publications

Shixin Ji, Jinming Zhuang, Zhuoping Yang, Alex Jones, Peipei Zhou (2024). Amortizing Embodied Carbon Across Generations (🔥📣Best Viewpoint Paper in IGSC 2024🔥📣! ). Proceedings of the IEEE 15th International Green and Sustainable Computing Conference, IGSC 2024.

PDF Cite Slides

Peiyan Dong, Jinming Zhuang, Zhuoping Yang, Shixin Ji, Yanyu Li, Dongkuan Xu, Heng Huang, Jingtong Hu, Alex Jones, Yiyu Shi, Yanzhi Wang, Peipei Zhou (2024). EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture (🔥📣New Paper & Project🔥📣! ). International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) in conjunction with (ESWEEK), RALEIGH, NC, USA, Sept. 29-Oct. 4, 2024. Also appears as part of the ESWEEK-TCAD Special Issue, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD).

PDF Slides

Yue Tang, Yukai Song, Naveena Elango, Sheena Ratnam Priya, Alex Jones, Jinjun Xiong, Peipei Zhou, Jingtong Hu (2024). CHEF: A Framework for Deploying Heterogeneous Models on Clusters with Heterogeneous FPGAs (🔥📣New Paper & Project🔥📣! ). International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) in conjunction with (ESWEEK), RALEIGH, NC, USA, Sept. 29-Oct. 4, 2024. Also appears as part of the ESWEEK-TCAD Special Issue, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD).

PDF

Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Shixin Ji, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou (2024). CHARM 2.0: Composing Heterogeneous Accelerators for Deep Learning on Versal ACAP Architecture (🔥📣New Paper & Project🔥📣! ). ACM Transactions on Reconfigurable Technology and Systems.

Cite PDF

Zhuoping Yang, Wei Zhang, Shixin Ji, Peipei Zhou, Alex Jones (2024). Reducing Smart Phone Environmental Footprints with In-Memory Processing (🔥📣New Paper & Project🔥📣! ). International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) in conjunction with (ESWEEK), RALEIGH, NC, USA, Sept. 29-Oct. 4, 2024.

PDF

Shixin Ji, Zhuoping Yang, Xingzhen Chen, Stephen Cahoon, Jingtong Hu, Yiyu Shi, Alex Jones, Peipei Zhou (2024). SCARIF: Towards Carbon Modeling of Cloud Servers with Accelerators (🔥📣New Paper & Project🔥📣! ). Proceedings of the IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2024.

PDF Cite Demo Video Code Slides

Ruiyang Qin, Jun Xia, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Peipei Zhou, Jingtong Hu, Yiyu Shi (2024). Enabling On-Device Self-Supervised LLM Personalization with Selective Synthetic Data (🔥📣New Paper & Project🔥📣! ). Proceedings of the 61st ACM/IEEE Design Automation Conference, San Francisco, California, USA, (DAC ’24).

Cite arXiv

Jinming Zhuang, Zhuoping Yang, Shixin Ji, Heng Huang, Alex K. Jones, Jingtong Hu, Yiyu Shi, Peipei Zhou (2024). SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration (🔥📣New Paper & Project🔥📣! ). Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, FPGA 2024, March 3 - March 5, Monterey, CA, US. Full Paper Accepted! https://doi.org/10.1145/3626202.3637569.

Cite PDF Code

Zhuoping Yang, Shixin Ji, Xingzhen Chen, Jinming Zhuang, Weifeng Zhang, Dharmesh Jani, Peipei Zhou (2024). Challenges and Opportunities to Enable Large-Scale Computing via Heterogeneous Chiplets (🔥📣New Paper & Project🔥📣! ). Proceedings of the 28th Asia and South Pacific Design Automation Conference, ASPDAC 2024, Incheon Songdo Convensia, South Korea! https://doi.org/10.1109/ASP-DAC58780.2024.10473961.

PDF Cite IEEE arXiv

Zhuoping Yang, Jinming Zhuang, Jiaqi Yin, Cunxi Yu, Alex K. Jones, Peipei Zhou (2023). AIM: Accelerating Arbitrary-precision Integer Multiplication on Heterogeneous Reconfigurable Computing Platform Versal ACAP (🔥📣New Paper & Project🔥📣! ). Proceedings of the 42nd IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2023, October 29, 2023 - November 2, 2023, San Francisco, CA, USA. Full Paper Accepted (acceptance ratio is 21 percent).

PDF Cite IEEE Code Slides Video

Jinming Zhuang, Zhuoping Yang, Peipei Zhou (2023). High Performance, Low Power Matrix Multiply Design on ACAP: from Architecture, Design Challenges and DSE Perspectives (🔥📣New Paper & Project🔥📣! ). Proceedings of the 60th ACM/IEEE Design Automation Conference, San Francisco, California, USA, (DAC ’23), July 9–13, 2023, San Francisco, CA, USA. Full Paper Accepted (acceptance ratio is 23 percent).

PDF Cite IEEE Code Slides Video

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 (2023). CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP Architecture (🔥📣New Paper & Project🔥📣! ). Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA ’23), February 12–14, 2023, Monterey, CA, USA. ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3543622.3573210.

Cite PDF Code Slides Video

Sébastien Ollivier, Sheng Li, Yue Tang, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones (2022). Sustainable AI Processing at the Edge. IEEE Micro.

PDF Cite

Xinyi Zhang, Cong Hao, Peipei Zhou, Alex Jones, Jingtong Hu (2022). H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication Awareness. 2022 Design Automation Conference (DAC 2022).

Cite PDF

Yue Tang, Xinyi Zhang, Peipei Zhou, Jingtong Hu (2022). EF-Train: Enable Efficient On-device CNN Training on FPGA Through Data Reshaping for Online Adaptation or Personalization. 2022 ACM Transactions on Design Automation of Electronic Systems (TODAES 22).

PDF Cite

Xinyi Zhang, Yawen Wu, Peipei Zhou, Xulong Tang, Jingtong Hu (2021). Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices. ACM Transactions on Embedded Computing Systems (TECS 21).

PDF Cite

Peipei Zhou, Jiayi Sheng, Cody Hao Yu, Peng Wei, Jie Wang, Di Wu, Jason Cong (2021). MOCHA: Multinode Cost Optimization in Heterogeneous Clouds with Accelerators. 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA 21).

Cite PDF Slides Video

Michael Lo, Zhenman Fang, Jie Wang, Peipei Zhou, Mau-Chung Frank Chang, Jason Cong (2020). Algorithm-Hardware Co-design for BQSR Acceleration in Genome Analysis ToolKit. 2020 IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM 20).

PDF Cite

Peipei Zhou (2019). Modeling and Optimization for Customized Computing: Performance, Energy and Cost Perspective. UCLA Electronic Theses and Dissertations.

Cite PDF Slides Video

Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong (2018). Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks (🔥Best Paper). IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ( Volume: 38, Issue: 11, Nov. 2019).

PDF Cite

Yuze Chi, Jason Cong, Peng Wei, Peipei Zhou (2018). SODA: Stencil with Optimized Dataflow Architecture (🔥Best Paper Nominee). 2018 International Conference On Computer Aided Design (ICCAD 18).

PDF Cite

Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou (2018). Best-effort FPGA programming: a few steps can go a long way. arXiv.

PDF Cite

Peipei Zhou, Zhenyuan Ruan, Zhenman Fang, Megan Shand, David Roazen, Jason Cong (2018). Doppio: I/O-Aware Performance Analysis, Modeling and Optimization for In-Memory Computing Framework(🔥Best Paper Nominee). 2018 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 18).

PDF Cite Slides SlidesWithAudio

Jason Cong, Peng Wei, Cody Hao Yu, Peipei Zhou (2018). Latte: Locality Aware Transformation for High-Level Synthesis. 2018 IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM 18), short paper acceptance ratio: 7/48 = 14.6%.

PDF Cite Slides SlidesWithAudio Poster

Zhenyuan Ruan, Tong He, Bojie Li, Peipei Zhou, Jason Cong (2018). ST-Accel: A High-Level Programming Platform for Streaming Applications on FPGA. 2018 IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM 18), full paper acceptance ratio: 22/106 = 20.7%.

PDF Cite

Jason Cong, Peng Wei, Cody Hao Yu, Peipei Zhou (2017). Bandwidth Optimization Through On-Chip Memory Restructuring for HLS. 54th Annual Design Automation Conference (ACM DAC 17), acceptance rate: 161/676 = 24%.

PDF Cite

Chen Zhang, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong (2016). Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. 36th International Conference on Computer-Aided Design (ACM ICCAD 16), acceptance rate: 97/408 = 23.8%.

PDF Cite Slides SlidesWithAudio Poster

Peipei Zhou, Hyunseok Park, Zhenman Fang, Jason Cong, André DeHon (2016). Energy Efficiency of Full Pipelining: A Case Study for Matrix Multiplication. 24th IEEE International Symposium on Field-Programmable Custom Computing Machines (IEEE FCCM 16), acceptance rate: 32/133 = 24%.

PDF Cite Slides SlidesWithAudio Poster

Yu-Ting Chen, Jason Cong, Zhenman Fang, Peipei Zhou (2016). ARAPrototyper: Enabling Rapid Prototyping and Evaluation for Accelerator-Rich Architecture. 24th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (ACM/SIGDA FPGA 16).

Cite PDF Poster

Yu-Ting Chen, Jason Cong, Jie Lei, Sen Li, Myron Peto, Paul Spellman, Peng Wei, Peipei Zhou (2015). CS-BWAMEM: A fast and scalable read aligner at the cloud scale for whole genome sequencing. High Throughput Sequencing, Algorithms & Applications, A SIG of IMSB/ECCB 2015.

PDF Poster

Peipei Zhou (2014). A Fully Pipelined and Dynamically Composable Architecture of CGRA (Coarse Grained Reconfigurable Architecture). UCLA Electronic Theses and Dissertations.

PDF

Jason Cong, Hui Huang, Chiyuan Ma, Bingjun Xiao, Peipei Zhou (2014). A Fully Pipelined and Dynamically Composable Architecture of CGRA. 22nd IEEE International Symposium on Field-Programmable Custom Computing Machines (IEEE FCCM 14).

PDF Cite Slides