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2020 – today
- 2024
[j3]Lingxi Wu
, Minxuan Zhou, Weihong Xu, Ashish Venkat, Tajana Rosing, Kevin Skadron:
Abakus: Accelerating k-mer Counting with Storage Technology. ACM Trans. Archit. Code Optim. 21(1): 10:1-10:26 (2024)- [c22]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: 557-563 - [c21]Eunji Kwon, Minxuan Zhou, Weihong Xu, Tajana Rosing, Seokhyeong Kang:
RL-PTQ: RL-based Mixed Precision Quantization for Hybrid Vision Transformers. DAC 2024: 79:1-79:6 - [c20]Jaeyoung Kang, Youhak Lee, Minxuan Zhou, Weihong Xu, Tajana Rosing:
HygHD: Hyperdimensional Hypergraph Learning. DATE 2024: 1-6 - [c19]Minxuan Zhou, Yujin Nam, Xuan Wang, Youhak Lee, Chris Wilkerson, Raghavan Kumar, Sachin Taneja, Sanu Mathew, Rosario Cammarota, Tajana Rosing:
UFC: A Unified Accelerator for Fully Homomorphic Encryption. MICRO 2024: 352-365 - [i5]Xuan Wang, Minxuan Zhou, Tajana Rosing:
Fast-OverlaPIM: A Fast Overlap-driven Mapping Framework for Processing In-Memory Neural Network Acceleration. CoRR abs/2407.00604 (2024) - [i4]Minxuan Zhou, Hao Liang, Tianpeng Li, Zhiyu Wu, Mingan Lin, Linzhuang Sun, Yaqi Zhou, Yan Zhang, Xiaoqin Huang, Yicong Chen, Yujing Qiao, Weipeng Chen, Bin Cui, Wentao Zhang, Zenan Zhou:
MathScape: Evaluating MLLMs in multimodal Math Scenarios through a Hierarchical Benchmark. CoRR abs/2408.07543 (2024) - [i3]Russel Arbore, Xavier Routh, Abdul Rafae Noor, Akash Kothari, Haichao Yang, Weihong Xu, Sumukh Pinge, Minxuan Zhou, Vikram S. Adve, Tajana Rosing:
HPVM-HDC: A Heterogeneous Programming System for Hyperdimensional Computing. CoRR abs/2410.15179 (2024) - 2023
- [c18]Xiaofan Yu, Minxuan Zhou, Fatemeh Asgarinejad, Onat Güngör, Baris Aksanli, Tajana Rosing:
Lightning Talk: Private and Secure Edge AI with Hyperdimensional Computing. DAC 2023: 1-2 - [c17]Minxuan Zhou, Xuan Wang, Tajana Rosing:
OverlaPIM: Overlap Optimization for Processing In-Memory Neural Network Acceleration. DATE 2023: 1-6 - [c16]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: 1-6 - [i2]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 abs/2311.16293 (2023) - [i1]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 abs/2312.04257 (2023) - 2022
- [c15]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: 855-860 - [c14]Minxuan Zhou, Weihong Xu, Jaeyoung Kang, Tajana Rosing:
TransPIM: A Memory-based Acceleration via Software-Hardware Co-Design for Transformer. HPCA 2022: 1071-1085 - [c13]Jaeyoung Kang, Minxuan Zhou, Abhinav Bhansali, Weihong Xu, Anthony Thomas, Tajana Rosing:
RelHD: A Graph-based Learning on FeFET with Hyperdimensional Computing. ICCD 2022: 553-560 - 2021
- [c12]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: 1 - [c11]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: 199-212 - [c10]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: 639-644 - [c9]Minxuan Zhou, Yunhui Guo, Weihong Xu, Bin Li, Kevin W. Eliceiri, Tajana Rosing:
MAT: Processing In-Memory Acceleration for Long-Sequence Attention. DAC 2021: 25-30 - [c8]Minxuan Zhou, Muzhou Li, Mohsen Imani, Tajana Rosing:
HyGraph: Accelerating Graph Processing with Hybrid Memory-centric Computing. DATE 2021: 330-335 - [c7]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: 1-9 - [c6]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: 1-6 - 2020
- [j2]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): 1973-1986 (2020) - [c5]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: 356-371
2010 – 2019
- 2019
- [c4]Minxuan Zhou, Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing:
GRAM: graph processing in a ReRAM-based computational memory. ASP-DAC 2019: 591-596 - [c3]Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing:
Thermal-Aware Design and Management for Search-based In-Memory Acceleration. DAC 2019: 174 - [c2]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: 429-434 - 2018
- [c1]Minxuan Zhou, Mohsen Imani, Saransh Gupta, Tajana Rosing:
GAS: A Heterogeneous Memory Architecture for Graph Processing. ISLPED 2018: 27:1-27:6 - 2016
- [j1]Kun Cheng, Yuebin Bai, Yongwang Zhao, Yao Ma, Duo Lu, Yuanfeng Peng, Minxuan Zhou:
HV2M: A novel approach to boost inter-VM network performance for Xen-based HVMs. J. Syst. Softw. 114: 54-68 (2016)
Coauthor Index
aka: Tajana Simunic Rosing
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last updated on 2024-12-11 21:40 CET by the dblp team
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