Accurate and Fast Approximate Graph Pattern Mining at Scale
Anna Arpaci-Dusseau, Zixiang Zhou and Xuhao Chen, Accurate and Fast Approximate Graph Pattern Mining at Scale, arXiv:2405.03488.
CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- Github University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Speedcode: Software performance engineering education via Coding of didactic exercises
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 conjunction with IPDPS 2024.
Efficient and Scalable Graph Pattern Mining on GPUs
Xuhao Chen, Arvind, Efficient and Scalable Graph Pattern Mining on GPUs, 16th USENIX Symposium on Operating Systems Design and Implementation, 2022.
FlexMiner: A Pattern-Aware Accelerator for Graph Pattern Mining
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).
Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining
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
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU
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.
Optimizing STT-RAM Based Register File Energy Consumption on GPGPU with Delta Compression
Hang Zhang, Xuhao Chen, Nong Xiao, Fang Liu, Optimizing STT-RAM Based Register File Energy Consumption on GPGPU with Delta Compression, In the Proceedings of the 53rd Design Automation Conference (DAC-53), Austin, TX, June 2016.
Adaptive Cache Management for Energy-efficient GPU Computing
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.
Talks
Speedcode Tutorial
Tutorial at TBD, Cambridge MA, USA
Efficient and Scalable Graph Pattern Mining on GPUs
Conference proceedings talk at , Carlsbad CA, USA
Pangolin
Seminar talk at MIT Fast Code Seminar, Cambridge MA, USA
Pangolin
Conference proceedings talk at , Cambridge MA, USA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams