PIM-SUM: Fast and Reliable In-Memory Summation for Recommendation Systems. ICCD 2025
Fan Li, Ruizhi Zhu, Huize Li, Di Wu, Xin Xin

Syndrilla: Simulating Decoders for Quantum Error Correction using PyTorch. QCE 2025
Yanzhang Zhu, Chen-Yu Peng, Yun Hao Chen, Siyuan Niu, Yeong-Luh Ueng, Di Wu
[paper] [poster]

Can Photonic Interconnects be used for High-Throughput Memory Access in FHE Accelerators?. ISLPED 2025
Dewan Saiham, Mariam Rabadi, Di Wu, Sazadur Rahman
[paper]

Catwalk: Unary Top-K for Efficient Ramp-No-Leak Neuron Design for Temporal Neural Networks. ISVLSI 2025
Devon Lister, Prabhu Vellaisamy, John Shen, Di Wu
🏅 Amar Mukherjee Best Paper Award
[paper] [slide]

Leveraging Photonic Interconnects for Scalable and Efficient Fully Homomorphic Encryption. GOMACTech 2025
Dewan Saiham, Di Wu, Sazadur Rahman
[paper]

Synergizing Quantum Techniques with Machine Learning for Advancing Drug Discovery Challenge. Scientific Reports 2024
Zhiding Liang, Zichang He, Yue Sun, Dylan Herman, Qingyue Jiao, Yanzhang Zhu, Weiwen Jiang, Xiaowei Xu, Di Wu, Marco Pistoia, Yiyu Shi
[paper]

LoAS: Fully Temporal-Parallel Datatflow for Dual-Sparse Spiking Neural Networks. MICRO 2024
Ruokai Yin, Youngeun Kim, Di Wu, Priyadarshini Panda
[paper] [slide] [code]

Synergizing Error Suppression, Mitigation and Correction for Fault-Tolerant Quantum Computing. QUILLS 2024
Yanzhang Zhu, Siyuan Niu, Di Wu
[paper]

Exploration of Unary Arithmetic-Based Matrix Multiply Units for Low Precision DL Accelerators. ISVLSI 2024
Prabhu Vellaisamy, Harideep Nair, Di Wu, Shawn Blanton, John Paul Shen
[paper]

ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching. ISCA 2024
Youpeng Zhao, Di Wu, Jun Wang
[paper] [slide]

xBrain: Brain-Like Computing for Explainable Brain-Computer Interfaces. YArch 2024
Queenly Xie, Prabhu Vellaisamy, Di Wu
[paper]

Exploration of Unary Arithmetic-Based Matrix Multiply Units for Low Precision DL Accelerators. WUC 2024
Prabhu Vellaisamy, Harideep Nair, Di Wu, Shawn Blanton, John Paul Shen
[paper]

Carat: Unlocking Value-Level Parallelism for Multiplier-Free GEMMs. ASPLOS 2024
Zhewen Pan, Joshua San Miguel, Di Wu
🏅 IEEE Micro Top Pick Honorable Mention
🏅 Distinguished Artifact Evaluation Award
[paper] [slide] [video] [poster] [code]

uBrain: A Unary Brain Computer Interface. ISCA 2022
Di Wu, Jingjie Li, Zhewen Pan, Younghyun Kim, Joshua San Miguel
[paper] [slide] [poster] [code]

T-MAC: Temporal Multiplication with Accumulation. YArch 2022
Zhewen Pan, Di Wu, Joshua San Miguel
[paper]

uSystolic: Byte-Crawling Unary Systolic Array. HPCA 2022
Di Wu, Joshua San Miguel
[paper] [slide] [code]

Special Session: When Dataflows Converge: Reconfigurable and Approximate Computing for Emerging Neural Networks. ICCD 2021
Di Wu, Joshua San Miguel
[paper] [slide]

UNO: Virtualizing and Unifying Nonlinear Operations for Emerging Neural Networks. ISLPED 2021
Di Wu, Jingjie Li, Setareh Behroozi, Younghyun Kim, Joshua San Miguel
[paper] [slide]

uGEMM: Unary Computing for GEMM Applications. IEEE Micro 2021
Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim, Joshua San Miguel
[paper]

Normalized Stability: A Cross-Level Design Metric for Early Termination in Stochastic Computing. ASP-DAC 2021
Di Wu, Ruokai Yin, Joshua San Miguel
[paper] [slide]

In-Stream Correlation-Based Division and Bit-Inserting Square Root in Stochastic Computing. IEEE D&T 2021
Di Wu, Ruokai Yin, Joshua San Miguel
[paper]

uGEMM: Unary Computing Architecture for GEMM Applications. ISCA 2020
Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim, Joshua San Miguel
🏅 IEEE Micro Top Pick
[paper] [slide] [code]

Approximate Hardware Techniques for Energy-Quality Scaling Across the System. ICEIC 2020
Younghyun Kim, Joshua San Miguel, Setareh Behroozi, Tianen Chen, Kyuin Lee, Yongwoo Lee, Jingjie Li, Di Wu
[paper]

SECO: A Scalable Accuracy Approximate Exponential Function Via Cross-Layer Optimization. ISLPED 2019
Di Wu, Tianen Chen, Chienfu Chen, Oghenefego Ahia, Joshua San Miguel, Mikko Lipasti, Younghyun Kim
[paper] [slide] [poster]

In-Stream Stochastic Division and Square Root via Correlation. DAC 2019
Di Wu, Joshua San Miguel
[paper] [slide] [poster]

Convergence-Optimized Variable Node Structure for Stochastic LDPC Decoder. ICASSP 2016
Qichen Zhang, Yun Chen, Di Wu, Xiaoyang Zeng, Yeong-luh Ueng
[paper]

Strategies for Reducing Decoding Cycles in Stochastic LDPC Decoders. IEEE TCAS-II 2016
Di Wu, Yun Chen, Qichen Zhang, Yeong-luh Ueng, Xiaoyang Zeng
[paper]

An Area-Efficient Architecture for Stochastic LDPC Decoder. DSP 2015
Qichen Zhang, Yun Chen, Di Wu, Xiaoyang Zeng, Yeong-luh Ueng
[paper]

Latency-Optimized Stochastic LDPC Decoder for High-Throughput Applications. ISCAS 2015
Di Wu, Yun Chen, Qichen Zhang, Lirong Zheng, Xiaoyang Zeng, Yeong-luh Ueng
[paper]

An Efficient Multirate LDPC-CC Decoder with A Layered Decoding Algorithm for The IEEE 1901 Standard. IEEE TCAS-II 2014
Yun Chen, Qichen Zhang, Di Wu, Changsheng Zhou, Xiaoyang Zeng
[paper]

A High-Throughput LDPC Decoder for Optical Communication. ASICON 2013
Di Wu, Yun Chen, Yuebin Huang, Yeongluh Ueng, Lirong Zheng, Xiaoyang Zeng
[paper]