Publications

Jinming Zhuang, Shaojie Xiang, Hongzheng Chen, Niansong Zhang, Zhuoping Yang, Tony Mao, Zhiru Zhang, Peipei Zhou (2025). ARIES: An Agile MLIR-Based Compilation Flow for Reconfigurable Devices with AI Engines(🔥📣 FPGA 2025 Best Paper Candidate🔥📣! ). Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, FPGA 2025, Feb. 28 - March 3, Monterey, CA, US. Full Paper Accepted! https://dl.acm.org/doi/10.1145/3706628.3708870.

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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.

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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).

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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).

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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.

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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.

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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.

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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).

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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.

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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.

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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).

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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).

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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.

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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.

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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).

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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).

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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).

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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).

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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).

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

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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).

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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).

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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.

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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).

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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%.

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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%.

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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%.

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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%.

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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%.

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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).

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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.

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

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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).

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