Publications
- Minxuan Zhou, Yujin Nam, Pranav Gangwar, Weihong Xu, Arpan Dutta, Kartikeyan Subramanyam, Chris Wilkerson, Rosario Cammarota, Saransh Gupta, and Tajana Rosing. "FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption". arXiv:2311.16293
- Lingxi Wu*, Minxuan Zhou*, Weihong Xu, Ashish Venkat, Tajana Rosing, and Kevin Skadron. "Abakus: Accelerating k-mer Counting With Storage Technology". ACM Trans. Archit. Code Optim. Just Accepted (November 2023). https://doi.org/10.1145/3632952
- Yujin Nam, Minxuan Zhou, Saransh Gupta, Gabrielle De Micheli, Rosario Cammarota, Chris Wilkerson, Daniele Micciancio, and Tajana Rosing, “Efficient Machine Learning on Encrypted Data using Hyperdimensional Computing”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2023
- Minxuan Zhou*, Xuan Wang*, and Tajana Rosing, “OverlaPIM: Overlap Optimization for Processing In-Memory Neural Network Acceleration”, Design, Automation and Test in Europe Conference (DATE’2023), 2023
- Jaeyoung Kang, Minxuan Zhou, Abhinav Bhansali, Weihong Xu, Anthony Thomas and Tajana Rosing, “RelHD: A Lightweight Graph-based Learning with Hyperdimensional Computing”, The 40th IEEE International Conference on Computer Design (ICCD’22), 2022
- Minxuan Zhou*, Weihong Xu*, Jaeyoung Kang, and Tajana Rosing, “TransPIM: A Memory-based Acceleration via Software-Hardware Co-Design for Transformers”, The 28th IEEE International Symposium on High-Performance Computer Architecture (HPCA’2022)
- Yizhou Wei, Minxuan Zhou, Sihang Liu, Korakit Seemakhupt, Tajana Rosing and Samira Khan. “PIMProf: An Automated Program Profiler for Processing-in-Memory Offloading Decisions”, Design, Automation and Test in Europe Conference (DATE’2022), to appear
- Minxuan Zhou, Lingxi Wu, Muzhou Li, Niema Moshiri, Kevin Skadron, and Tajana Rosing, “Ultra Efficient Acceleration for De Novo Genome Assembly via Near-Memory Computing”, International Conference on Parallel Architectures and Compilation Techniques (PACT), 2021
- Minxuan Zhou, Guoyang Chen, Mohsen Imani, Saransh Gupta, Weifeng Zhang, and Tajana Rosing, “PIM-DL: Boosting DNN Inference on Digital Processing In-Memory Architectures via Data Layout Optimizations”, International Conference on Parallel Architectures and Compilation Techniques (PACT), 2021
- Minxuan Zhou, Yunhui Guo, Weihong Xu, Bin Li, Kevin Eliceiri, and Tajana Rosing, “MAT: Processing In-Memory Acceleration for Long-Sequence Attention”, Design Automation Conference (DAC), 2021
- Minxuan Zhou, Muzhou Li, Mohsen Imani, and Tajana Rosing, “HyGraph: Accelerating Graph Processing with Hybrid Memory-centric Computing”, Design, Automation and Test in Europe Conference (DATE), 2021
- Minxuan Zhou, Mohsen Imani, Yeseong Kim, Saransh Gupta, and Tajana Rosing, “DPSim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architecture”, 26th Asia and South Pacific Design Automation Conference (ASP-DAC), 2021
- Mohsen Imani, Saransh Gupta, Yeseong Kim, Minxuan Zhou, and Tajana Rosing. DigitalPIM: Digital-based Processing In-Memory for Big Data Acceleration. ACM Proceedings of the 2019 on Great Lakes Symposium on VLSI
- Minxuan Zhou, Andreas Prodromou, Rui Wang, Hailong Yang, Depei Qian, Dean Tullsen. “Temperature-Aware DRAM Cache Management -Relaxing Thermal Constraints in 3D Systems”. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2019
- Xiao Liu, Minxuan Zhou, Tajana Rosing, and Jishen Zhao. 2019. HR3AM: A Heat Resilient Design for RRAM-based Neuromorphic Computing. accepted in ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2019
- Minxuan Zhou, Mohsen Imani, Saransh Gupta, and Tajana Rosing, “Thermal-Aware Design and Management for Search-based In-Memory Acceleration”, Design Automation Conference (DAC), 2019.
- Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, and Tajana Rosing, “GRAM: Graph Processing in a ReRAM-based Computational Memory”, 24th Asia and South Pacific Design Automation Conference (ASP-DAC), 2019
- Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, and Tajana Rosing, “GP3: Graph Processing in a Parallel Processing-in-Memory Architecture”, SRC TECHCON, 2018
- Minxuan Zhou, Mohsen Imani, Saransh Gupta, and Tajana Rosing, “GAS: A Heterogeneous Memory Acceleration for Graph Processing”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2018.
- Cheng, Kun, Yuebin Bai, Yongwang Zhao, Yao Ma, Duo Lu, Yuanfeng Peng, and Minxuan Zhou. “HV 2 M: A novel approach to boost inter-VM network performance for Xen-based HVMs.” Journal of Systems and Software 114 (2016): 54-68.