Yufeng Gu

I am a 5th-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 student intern in PARSA at EPFL, advised by Prof. Babak Falsafi.

Email  /  CV  /  Linkedin  /  Google Scholar

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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 precision health and generative artificial intelligence (GenAI) workloads.

News

  • CENT is accepted to ASPLOS 2025. See you at Rotterdam!
  • MVE is accepted to HPCA 2025 and received all badges in artifact evaluation. See you at Vegas!
  • GenDP is selected as Communication of ACM (CACM) Research Highlights, among 24 papers from all ACM conference in 2023, and will be reprint in 2025.
  • I will give a talk on the Computer Architecture Seminar about Genomics Benchmark Suite and Accelerator Design at UCF.
  • I will give a talk about Genomics Benchmark Suite and Accelerator Design at Cornell.
  • I will give a talk on the Peisu Xia Forum about Genomics Benchmark Suite and Accelerator Design at ICT, CAS.
  • 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.

Selected Publications

[Full list]

PIM is All You Need: A CXL-Enabled GPU-Free System for LLM Inference
Yufeng Gu* , Alireza Khadem*, Sumanth Umesh, Ning Liang, Xavier Servot, Onur Mutlu, Ravi Iyer, and Reetuparna Das
ASPLOS 2025  /  Code

GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis   (CACM Research Highlights)
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  /  BibTeX  /  Paper  /  Slides  /  Code  /  Lightning Talk

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  /  BibTeX  /  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, IF=11.148
 MedIA  /  BibTeX  /  Paper  /  Code

Awards and Honors

  • Communucation of ACM (CACM) Research Highlights, selected among 24 papers from all ACM conferences in 2023.
    (GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis)
  • University of Michigan Rackham Graduate Student Research Grant.
    (Pangenome Sequence Alignment Benchmark Suite, $3,000)
  • University of Michigan Rackham Conference Travel Grant, 2023, 2025.
  • Student Travel Grant for ISCA 2023, HPCA 2025.
  • Summer@EPFL Fellowship, 2019.

Services

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

Industry Experiences

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

Design and source code from Jon Barron and Jiacheng Ma