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Di Wu.jpeg

Di (Dee) Wu (Woo)

Be pleasant,

profound,

and practical.

Di Wu is a tenure-track assistant professor in the Department of ECE at the University of Central Florida. He received his PhD degree from the Department of ECE at the University of Wisconsin-Madison, and his Bachelor's and Master's degrees from Fudan University. His research interests broadly spread out in emerging areas of computer architecture and system. His research has been recognized with Qualcomm Innovation Fellowship Finalist in 2019, IEEE Micro Top Pick in 2021, Wisconsin Distinguished Graduate Fellowship in 2022, Machine Learning and Systems Rising Star in 2023, ASPLOS Distinguished Artifact Evaluation Award in 2024 and The Harold Peterson Outstanding Dissertation Award in 2024. He served on the program committee for DAC, HPCA, ICCAD, ICCD, ISCA, IISWC, and ISPASS, etc., served as reviewers for TACO, TC, TCAD, TCAS-I, TECS and TRETS, etc., and served on NSF CISE panels. He also organized multiple contests and workshops for emerging computing.

News

Di Wu receives AMD AI & HPC Fund!

May 14, 2024

Di Wu will serve on the program committee for IEEE ICCD 2024!

May 13, 2024

Di Wu will serve on the program committee for ACM/IEEE ICCAD 2024!

May 6, 2024

Congrats to Prabhu Vellaisamy on paper acceptance to ISVLSI 2024!

May 6, 2024

Congrats to Cory and Parker on receiving AMD graduate fellowship!

Apr 30, 2024

Our work Carat is selected for Distinguished Artifact Evaluation Award at ASPLOS 2024!

Apr 30, 2024

Congrats to Daniel Price on receiving MLSys 2024 Student Travel Grant!

Apr 27, 2024

Di Wu is awarded The Harold Peterson Outstanding Dissertation Award!

Apr 24, 2024

Congrats to Youpeng Zhao on acceptance to MLSys YPS 2024!

Apr 15, 2024

Di Wu will serve on the program committee for PhD Forum at DAC 2024!

Mar 31, 2024

Congrats to Prabhu Vellaisamy on paper acceptance to WUC 2024!

Mar 24, 2024

Di Wu will give a talk at the University of Minnesota Twin Cities!

Mar 21, 2024

Publications

Evaluating Unary GEMM for Low-Precision AI: Toward Scalable Energy-Efficient DL Accelerators

Jul 1, 2024

ISVLSI

Prabhu Vellaisamy, Harideep Nair, Di Wu, Shawn Blanton, John Paul Shen

ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching

Jun 29, 2024

ISCA

Youpeng Zhao, Di Wu, Jun Wang

xBrain: Brain-Like Computing for Explainable Brain-Computer Interfaces

Apr 27, 2024

YArch

Queenly Xie, Prabhu Vellaisamy, Di Wu

Exploration of Unary Arithmetic-Based Matrix Multiply Units for Low Precision DL Accelerators

Apr 27, 2024

WUC

Prabhu Vellaisamy, Harideep Nair, Di Wu, Shawn Blanton, John Paul Shen

Carat: Unlocking Value-Level Parallelism for Multiplier-Free GEMMs

Apr 27, 2024

ASPLOS

Zhewen Pan, Joshua San Miguel, Di Wu

Unleashing the Potential of LLMs for Quantum Computing: A Study in Quantum Architecture Design

Jul 17, 2023

arXiv

Zhiding Liang, Jinglei Cheng, Rui Yang, Hang Ren, Zhixin Song, Di Wu, Tongyang Li, Yiyu Shi

uBrain: A Unary Brain Computer Interface

Jun 18, 2022

ISCA

Di Wu, Jingjie Li, Zhewen Pan, Younghyun Kim, Joshua San Miguel

T-MAC: Temporal Multiplication with Accumulation

Mar 1, 2022

Young Architect Workshop (YArch

Zhewen Pan, Di Wu, Joshua San Miguel

uSystolic: Byte-Crawling Unary Systolic Array

Feb 12, 2022

HPCA

Di Wu, Joshua San Miguel

Special Session: When Dataflows Converge: Reconfigurable and Approximate Computing for Emerging Neural Networks

Oct 24, 2021

ICCD

Di Wu, Joshua San Miguel

UNO: Virtualizing and Unifying Nonlinear Operations for Emerging Neural Networks

Jul 26, 2021

ISLPED

Di Wu, Jingjie Li, Setareh Behroozi, Younghyun Kim, Joshua San Miguel

uGEMM: Unary Computing for GEMM Applications

May 26, 2021

IEEE Micro

Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim, Joshua San Miguel

Representation Range Needs for 16-Bit Neural Network Training

Apr 6, 2021

arXiv

Valentina Popescu, Abhinav Venigalla, Di Wu, Robert Schreiber

Normalized Stability: A Cross-Level Design Metric for Early Termination in Stochastic Computing

Jan 18, 2021

ASP-DAC

Di Wu, Ruokai Yin, Joshua San Miguel

In-Stream Correlation-Based Division and Bit-Inserting Square Root in Stochastic Computing

Jan 11, 2021

IEEE Design & Test

Di Wu, Ruokai Yin, Joshua San Miguel

uGEMM: Unary Computing Architecture for GEMM Applications

May 30, 2020

ISCA

Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim, Joshua San Miguel

Approximate Hardware Techniques for Energy-Quality Scaling Across the System

Jan 19, 2020

ICEIC

Younghyun Kim, Joshua San Miguel, Setareh Behroozi, Tianen Chen, Kyuin Lee, Yongwoo Lee, Jingjie Li, Di Wu

SECO: A Scalable Accuracy Approximate Exponential Function Via Cross-Layer Optimization

Jul 29, 2019

ISLPED

Di Wu, Tianen Chen, Chienfu Chen, Oghenefego Ahia, Joshua San Miguel, Mikko Lipasti, Younghyun Kim

In-Stream Stochastic Division and Square Root via Correlation

Jun 2, 2019

DAC

Di Wu, Joshua San Miguel

Convergence-Optimized Variable Node Structure for Stochastic LDPC Decoder

Mar 20, 2016

ICASSP

Qichen Zhang, Yun Chen, Di Wu, Xiaoyang Zeng, Yeong-luh Ueng

Strategies for Reducing Decoding Cycles in Stochastic LDPC Decoders

Feb 25, 2016

IEEE TCAS-II

Di Wu, Yun Chen, Qichen Zhang, Yeong-luh Ueng, Xiaoyang Zeng

An Area-Efficient Architecture for Stochastic LDPC Decoder

Jul 21, 2015

DSP

Qichen Zhang, Yun Chen, Di Wu, Xiaoyang Zeng, Yeong-luh Ueng

Latency-Optimized Stochastic LDPC Decoder for High-Throughput Applications

May 24, 2015

ISCAS

Di Wu, Yun Chen, Qichen Zhang, Lirong Zheng, Xiaoyang Zeng, Yeong-luh Ueng

An Efficient Multirate LDPC-CC Decoder with A Layered Decoding Algorithm for The IEEE 1901 Standard

Oct 14, 2014

IEEE TCAS-II

Yun Chen, Qichen Zhang, Di Wu, Changsheng Zhou, Xiaoyang Zeng

A High-Throughput LDPC Decoder for Optical Communication

Oct 28, 2013

ASICON

Di Wu, Yun Chen, Yuebin Huang, Yeongluh Ueng, Lirong Zheng, Xiaoyang Zeng

Research

Teaching

EEL5796 (Big data computer architecture and systems), UCF

Jan 8, 2024

Instructor

ECE697 (Capstone Project in Machine Learning and Signal Processing), UW-Madison

May 1, 2023

Instructor

ECE554 (Digital Circuit Lab), UW–Madison

Feb 1, 2022

Teaching Assistant

ECE454 (Mobile Computing Lab), UW–Madison

Sep 1, 2021

Teaching Assistant

ECE757 (Advanced Computer Architecture II), UW–Madison

Feb 1, 2021

Guest Lecturer

ECE454 (Mobile Computing Lab), UW–Madison

Sep 1, 2020

Teaching Assistant

ECE757 (Advanced Computer Architecture II), UW–Madison

Feb 1, 2020

Guest Lecturer

ECE554 (Digital Circuit Lab), UW–Madison

Feb 1, 2020

Teaching Assistant

ECE554 (Digital Circuit Lab), UW–Madison

Sep 1, 2019

Teaching Assistant

ECE554 (Digital Circuit Lab), UW–Madison

Feb 1, 2019

Teaching Assistant

ECE752 (Advanced Computer Architecture I), UW–Madison

Feb 1, 2019

Guest Lecturer

ECE554 (Digital Circuit Lab), UW–Madison

Sep 1, 2018

Teaching Assistant

ECE552 (Introduction to Computer Architecture), UW–Madison

Sep 1, 2018

Teaching Assistant

Team

PhD

Daniel Price

2023-

Yanzhang Zhu

2023-

Marco Kurzynski

2023-

Master

Parker McLeod (Credited for lab logo)

2023-

Cory Brynds

2023-

Alexander Bagherzadeh

2023-

Undergraduate

Alexander Peacock

2024-

Lauren Caccamise

2024-

Jerry Xie

2023-

Devon Lister

2023-

Bao Ho

2024-

Queenly Xie

2023-

Alumni

Tyler Goldsmith

2023-2024

AMD Orlando

James Chen

2023-2024

UCF

Mustafa Nisar

2023-2024

AMD Toronto

Zhewen Pan

2021-2022

UW-Madison

Francisco Soriano

2023-2024

UCF

Ruokai Yin

2019-2021

Yale

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