Minxuan Zhou

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Massively Parallel

Cache Management

Overlapping Clustering

Top Venues

Publications

Lingxi Wu, Minxuan Zhou, Weihong Xu, Ashish Venkat, Tajana Rosing, Kevin Skadron
-mer Counting with Storage Technology. ACM Trans. Archit. Code Optim. 21 (1) (2024)
Xuan Wang, Minxuan Zhou, Tajana Rosing
Fast-OverlaPIM: A Fast Overlap-driven Mapping Framework for Processing In-Memory Neural Network Acceleration. CoRR (2024)
Yue Pan, Minxuan Zhou, Chonghan Lee, Zheyu Li, Rishika Kushwah, Vijaykrishnan Narayanan, Tajana Rosing
PRIMATE: Processing in Memory Acceleration for Dynamic Token-pruning Transformers. ASPDAC (2024)
Jaeyoung Kang, You Hak Lee, Minxuan Zhou, Weihong Xu, Tajana Rosing
HygHD: Hyperdimensional Hypergraph Learning. DATE (2024)
Weihong Xu, Junwei Chen, Po-Kai Hsu, Jaeyoung Kang, Minxuan Zhou, Sumukh Pinge, Shimeng Yu, Tajana Rosing
Proxima: Near-storage Acceleration for Graph-based Approximate Nearest Neighbor Search in 3D NAND. CoRR (2023)
Minxuan Zhou, Yujin Nam, Pranav Gangwar, Weihong Xu, Arpan Dutta, Kartikeyan Subramanyam, Chris Wilkerson, Rosario Cammarota, Saransh Gupta, Tajana Rosing
FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption. CoRR (2023)
Minxuan Zhou, Xuan Wang, Tajana Rosing
OverlaPIM: Overlap Optimization for Processing In-Memory Neural Network Acceleration. DATE (2023)
Xiaofan Yu, Minxuan Zhou, Fatemeh Asgarinejad, Onat Güngör, Baris Aksanli, Tajana Rosing
Lightning Talk: Private and Secure Edge AI with Hyperdimensional Computing. DAC (2023)
Yujin Nam, Minxuan Zhou, Saransh Gupta, Gabrielle De Micheli, Rosario Cammarota, Chris Wilkerson, Daniele Micciancio, Tajana Rosing
Efficient Machine Learning on Encrypted Data Using Hyperdimensional Computing. ISLPED (2023)
Minxuan Zhou, Weihong Xu, Jaeyoung Kang, Tajana Rosing
TransPIM: A Memory-based Acceleration via Software-Hardware Co-Design for Transformer. HPCA (2022)
Yizhou Wei, Minxuan Zhou, Sihang Liu, Korakit Seemakhupt, Tajana Rosing, Samira Manabi Khan
PIMProf: An Automated Program Profiler for Processing-in-Memory Offloading Decisions. DATE (2022)
Jaeyoung Kang, Minxuan Zhou, Abhinav Bhansali, Weihong Xu, Anthony Thomas, Tajana Rosing
RelHD: A Graph-based Learning on FeFET with Hyperdimensional Computing. ICCD (2022)
Yeseong Kim, Mohsen Imani, Saransh Gupta, Minxuan Zhou, Tajana Simunic Rosing
Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture. ICCAD (2021)
Minxuan Zhou, Lingxi Wu, Muzhou Li, Niema Moshiri, Kevin Skadron, Tajana Rosing
Ultra Efficient Acceleration for De Novo Genome Assembly via Near-Memory Computing. PACT (2021)
Minxuan Zhou, Mohsen Imani, Yeseong Kim, Saransh Gupta, Tajana Rosing
DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures. ASP-DAC (2021)
Minxuan Zhou, Muzhou Li, Mohsen Imani, Tajana Rosing
HyGraph: Accelerating Graph Processing with Hybrid Memory-centric Computing. DATE (2021)
Minxuan Zhou, Guoyang Chen, Mohsen Imani, Saransh Gupta, Weifeng Zhang, Tajana Rosing
PIM-DL: Boosting DNN Inference on Digital Processing In-Memory Architectures via Data Layout Optimizations. PACT (2021)
Xiao Liu, Minxuan Zhou, Rachata Ausavarungnirun, Sean Eilert, Ameen Akel, Tajana Rosing, Vijaykrishnan Narayanan, Jishen Zhao
FPRA: A Fine-grained Parallel RRAM Architecture. ISLPED (2021)
Minxuan Zhou, Yunhui Guo, Weihong Xu, Bin Li, Kevin W. Eliceiri, Tajana Rosing
MAT: Processing In-Memory Acceleration for Long-Sequence Attention. DAC (2021)
Mohsen Imani, Saikishan Pampana, Saransh Gupta, Minxuan Zhou, Yeseong Kim, Tajana Rosing
DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory. MICRO (2020)
Minxuan Zhou, Andreas Prodromou, Rui Wang, Hailong Yang, Depei Qian, Dean M. Tullsen
Temperature-Aware DRAM Cache Management - Relaxing Thermal Constraints in 3-D Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (10) (2020)
Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing
GRAM: graph processing in a ReRAM-based computational memory. ASP-DAC (2019)
Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing
Thermal-Aware Design and Management for Search-based In-Memory Acceleration. DAC (2019)
Mohsen Imani, Saransh Gupta, Yeseong Kim, Minxuan Zhou, Tajana Rosing
DigitalPIM: Digital-based Processing In-Memory for Big Data Acceleration. ACM Great Lakes Symposium on VLSI (2019)
Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing
GAS: A Heterogeneous Memory Architecture for Graph Processing. ISLPED (2018)
Kun Cheng, Yuebin Bai, Yongwang Zhao, Yao Ma, Duo Lu, Yuanfeng Peng, Minxuan Zhou
M: A novel approach to boost inter-VM network performance for Xen-based HVMs. J. Syst. Softw. 114 (2016)