Bio

I work on high-performance computer systems, at the intersection of Computer Architecture (e.g. ISCA) and Data Systems (e.g. VLDB). I am a research fellow at MIT CSAIL, working with Charles E. Leiserson. I was a research scientist at MIT, working with Arvind. Before that, I was a research fellow in the Intelligent Software Systems group at University of Texas at Austin, and a visiting scholar in the IMPACT Research group at University of Illinois Urbana-Champaign.

Our group is looking for grad and undergrad students to work on our research projects. If you are interested in joining our lab, please fill in the recruiting form.

Service

Program Committee: VLDB 2026, HPCA 2026, SIGMOD 2026, ICDCS 2025.

News

• MEng student Chengyuan Ma has successfully graduated. Congratulations!
• Anna Arpaci-Dusseau has won 2025 Charles & Jennifer Johnson Computer Science MEng Thesis Award. Congratulations!

Current Advisees

• Zixiang (Peter) Zhou

Former Students

• Chengyuan Ma (MEng'25 → Citadel) [thesis]
• Anna Arpaci-Dusseau (MEng'24 → Lecturer at Boston University) [thesis]
• Miranda Cai (MEng'24 → Capital One) [thesis]
• Yuting (Emma) Qin (MEng'24 → Startup) [thesis]
• Muhua (Cici) Xu (MEng'24 → Hudson River Trading) [thesis]
• Kelly Ho (MEng'23 → Two Sigma) [thesis]

Selected Publications

(Full Publication List)

[VLDB 2025] [PDF]
Anna Arpaci-Dusseau, Zixiang Zhou and Xuhao Chen
Accurate and Fast Approximate Graph Pattern Mining at Scale,
PVLDB, 2025

[EduPar 2024] [PDF] [SpeedCode Website]
Tim Kaler, Xuhao Chen, Brian Wheatman, Dorothy Curtis, Bruce Hoppe, Tao B. Schardl, and Charles E. Leiserson
SpeedCode: Software performance engineering education via Coding of didactic exercises,
14th NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar-24), in conjuction with IPDPS 2024

[OSDI 2022] [PDF] [Talk] [BibTeX] [Code]
Xuhao Chen, Arvind
Efficient and Scalable Graph Pattern Mining on GPUs,
16th USENIX Symposium on Operating Systems Design and Implementation, 2022

[ISCA 2021] [PDF] [Talk (PPTX)] [BibTeX] [Zoom Talk] [Code]
Xuhao Chen*, Tianhao Huang*, Shuotao Xu, Thomas Bourgeat, Chanwoo Chung, Arvind
FlexMiner: A Pattern-Aware Accelerator for Graph Pattern Mining,
International Symposium on Computer Architecture, 2021 (*: equal contribution)

[ICS 2021] [PDF] [Talk (PPTX)] [BibTeX] [Code]
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali,
Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining,
International Conference on Supercomputing, 2021

[VLDB 2020] [PDF] [Talk (PPTX)] [YouTube] [Bilibili] [BibTeX] [Code]
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Keshav Pingali,
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU,
PVLDB 13(8): 1190-1205, 2020

[MICRO 2014] [PDF] [Talk (PPTX)] [Poster] [Lightning] [BibTeX]
Xuhao Chen, Li-Wen Chang, Christopher I. Rodrigues, Jie Lv, Zhiying Wang, Wen-Mei W. Hwu,
Adaptive Cache Management for Energy-efficient GPU Computing,
In the Proceedings of 47th International Symposium on Micro Architecture (MICRO), Cambridge, UK, December 2014
(Acceptance rate: 53/273 ≈ 19.4%)

Teaching

Software Performance Engineering

Accelerated Computing (GPU focused)