Yufeng Gu

I am a final-year Ph.D. candidate at University of Michigan, advised by Prof. Reetuparna Das. I am working closely with Prof. David Blaauw and Prof. Satish Narayanasamy. My research focuses on computer architecture and system. I am developing novel hardware and system on accelerating large scale AI workloads. Before UMich, I obtained a bachelor's degree from Zhejiang University in 2020.

Email  /  CV  /  Linkedin  /  Google Scholar  /  Blogs

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 system solutions on accelerating large scale emerging applications, such as generative artificial intelligence (GenAI) and precision health.

News

• PangenomicsBench is accepted to IISWC 2025. See you in Irvine!
• 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
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
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
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
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
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
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
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, Role: PI, $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.

Talks

• [07/2025] Hardware-Software Co-Design for LLM Inference PhD Forum at APPT 2025.
• [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 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