Yufeng Gu

I am a final-year Ph.D. candidate at University of Michigan, advised by Prof. Reetuparna Das. I am working on computer architecture and developing novel hardware and system on accelerating large scale emerging applications.

Before UMich, I obtained a bachelor's degree from Zhejiang University in 2020. I did my Bachelor thesis project at Yale University, working with Prof. Xiaoxiao Li and Prof. James Duncan. In summer 2019, I worked as an undergraduate research intern in PARSA at EPFL, advised by Prof. Babak Falsafi.

Email  /  CV  /  Linkedin  /  Google Scholar

Research

My research focuses on computer architecture, hardware/software co-design, near-memory processing and quality of service optimization. I am developing novel hardware and software solutions on accelerating large scale emerging applications, such as generative artificial intelligence (GenAI) and precision health.

News

• DX100 is accepted to ISCA 2025 and received all badges in artifact evaluation. See you in Tokyo!
• MVE is awarded for Distinguished Artifact Honorable Mention (3/29) in HPCA 2025.
• CENT is accepted to ASPLOS 2025 and received all badges in artifact evaluation. See you in Rotterdam!
• GenDP is selected as Communications of ACM Research Highlights (24/10,000+) among all papers from ACM conferences in 2023, and is reprinted in May 2025.
• MVE is accepted to HPCA 2025 and received all badges in artifact evaluation. See you in Las Vegas!
• GenDP is accepted to ISCA 2023 and received all badges in artifact evaluation. See you at Orlando!
• I will join Tenstorrent architecture team at Santa Clara for internship from May 2023.
• I will join Intel Labs for internship from June 2022.
  
• Passed the preliminary exam and become a PhD candidate at University of Michigan!
  
• GenomicsBench is accepted to ISPASS 2021!
  

Selected Publications

GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis (Invited Paper)
Yufeng Gu, Arun Subramaniyan, Tim Dunn, Alireza Khadem, Kuan-yu Chen, Somnath Paul, Md Vasimuddin, Sanchit Misra, David Blaauw, Satish Narayanasamy, Reetuparna Das
Communications of the ACM, 2025, IF=11.1
CACM 2025  /  Paper  /  Technical Perspective  /  University News

DX100: A Programmable Data Access Accelerator for Indirection
Alireza Khadem, Kamalavasan Kamalakkannan, Zhenyan Zhu, Akash Poptani, Yufeng Gu, Jered Benjamin Dominguez-Trujillo, Nishil Talati, Daichi Fujiki, Scott Mahlke, Galen Shipman, Reetuparna Das
52nd ACM/IEEE International Symposium on Computer Architecture (ISCA), 2025
ISCA 2025  /  Paper  /  Code     

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference
Yufeng Gu*, Alireza Khadem*, Sumanth Umesh, Ning Liang, Xavier Servot, Onur Mutlu, Ravi Iyer, and Reetuparna Das
30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2025
ASPLOS 2025  /  Paper  /  Slides  /  Code     

Multi-Dimensional Vector ISA Extension for Mobile In-Cache Computing
Alireza Khadem, Daichi Fujiki, Hilbert Chen, Yufeng Gu, Nishil Talati, Scott Mahlke, Reetuparna Das
IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2025
HPCA 2025  /  Paper  /  Code     
Distinguished Artifact Honorable Mention

GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis
Yufeng Gu, Arun Subramaniyan, Tim Dunn, Alireza Khadem, Kuan-yu Chen, Somnath Paul, Md Vasimuddin, Sanchit Misra, David Blaauw, Satish Narayanasamy, Reetuparna Das
ACM/IEEE 50th International Symposium on Computer Architecture (ISCA), 2023
ISCA 2023  /  Paper  /  Slides  /  Code  /  Lightning Talk  /   
Communications of ACM Research Highlights  /  Technical Perspective

GenomicsBench: A Benchmark Suite for Genomics
Arun Subramaniyan, Yufeng Gu, Tim Dunn, Somnath Paul, Md Vasimuddin, Sanchit Misra, Satish Narayanasamy, David Blaauw, Reetuparna Das
IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2021
ISPASS 2021  /  Paper  /  Slides  /  Code  /  Lightning Talk  

Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results
Xiaoxiao Li, Yufeng Gu, Nicha Dvornek, Lawrence Staib, Pamela Ventola, James S. Duncan
Medical Image Analysis, 2020, IF=13.8
MedIA 2020  /  Paper  /  Code / 

Awards and Honors

• Distinguished Artifact Honorable Mention in HPCA 2025, selected from 3/29 artifacts.
  (Multi-Dimensional Vector ISA Extension for Mobile In-Cache Computing)
• Communications of ACM Research Highlights, selected among 24 papers from all ACM conferences in 2023.
  (GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis)
• Rackham Graduate Student Research Grant at University of Michigan.
  (Pangenome Sequence Alignment Benchmark Suite, $3,000)
• Rackham Conference Travel Grant at University of Michigan, 2023, 2025.
• Student Travel Grant for ISCA 2023, HPCA 2025.
• Summer@EPFL Fellowship (2% applicants awarded), 2019.
• Tang Lixin Fellowship (60/60,000 students awarded), 2017, 2018, 2019.
• Outstanding Student Leaders at Zhejiang University (3% applicants awarded), 2017, 2019.
• First-Class Scholarship for Outstanding Students at Zhejiang University (2% applicants awarded), 2017.

Talks

• [06/2025] CXL-enabled PIM system for LLM inference at the SAFARI Live Seminar.
• [03/2025] CXL-enabled PIM system for LLM inference at the MCCSys workshop co-located with ASPLOS 2025.
• [03/2024] Genomics Benchmark Suite and Accelerator Design on the Computer Architecture Seminar about at UCF.
• [02/2024] Genomics Benchmark Suite and Accelerator Design at Cornel University.
• [12/2023] Genomics Benchmark Suite and Accelerator Design on the Peisu Xia Forum at ICT, CAS.

Services

• Artifact evaluation reviewer for IISWC 2021, ISCA 2023, ISCA 2024, ISCA 2025.
  
• University of Michigan graduate program admission reviewer, 2021, 2022.

Industry Experiences

• Intel Labs, Graduate Technical Intern, June 2022 - Aug. 2022.
  
• Tenstorrent Inc., Performance Architect Intern, May 2023 - Aug. 2023.

Design and source code from Jon Barron and Jiacheng Ma