Luanzheng "Lenny" Guo

I am a staff computer scientist working with the HPC Group at Pacific Northwest National Laboratory, especially in the research area between Scientific Computing, Data Science, and HPC. Previously, I obtained my Ph.D. degree in Electrical Engineering & Computer Science from the University of California-Merced, focusing on HPC systems. Since joined PNNL in 2020, he has spanned his research focus to interdisciplinary research, including scientific workflow coordination across HPC, Cloud, and Edge, power-grid computing system resilience, scientific data reduction/compression, generative AI for science, and physics-informed AI. My research has been highlighted by HPCWire in its “What's new in HPC research” in 2018 and 2020. I am an NSF Cyberinfrastructure (TrustedCI) Fellow in 2020.

nEWS

  • 9/2023

    I am giving a talk at DOE Data Days at LLNL!

  • 9/2023

    A paper is accepted to PACT!

  • 8/2023

    A paper is accepted to SC!

  • 8/2023

    A paper is accepted to the CGO LLVM workshop!

  • 7/2023

    A paper is accepted to the ISC-HPC WOCC workshop!

  • 6/2023

    A paper is accepted to Euro-Par!

  • 5/2023

    A paper is accepted to SIAM ACDA!

  • 4/2023

    Two papers are accepted to IPDPS workshops!

  • 5/2022

    A paper is accepted to IEEE TVCG!

Achievements

  • 2020

    NSF Trusted CI Fellow for the 2020 class

  • 2019

    UC Merced Graduate Dean's Dissertation Fellowship

  • 2019

    UC Merced GSA Travel Award for SC’19

  • 2019

    IEEE CS TCHPC Travel Award for SC’19

  • 2019

    UC Merced Graduate Fellowship Incentive Program Award

  • 2019

    IEEE TCPP Travel Award for IPDPS’19

  • 2018

    Research highlighted by HPCwire in its “What’s new in HPC research?”

  • 2018

    SC’18 Outstanding Student Volunteer

  • 2018

    SC’18 Outstanding Lightning Talk

  • 2018

    Outstanding Reviewer Award by Elsevier [Certificate]

  • 2017

    ACM SIGHPC Travel Award to attend the 50th celebration of the Turing Award

  • 2016

    Best poster finalist in SC’16

  • 2015 - 2017

    Bobcat Fellowship at UC Merced

Publications

  • Data Lifecycles: Optimizing Workflow Task & Data Coordination

    Hyungro Lee, Luanzheng Guo, Meng Tang, Jesun Firoz, Nathan Tallent, Anthony Kougkas, Xian-He Sun.

    in SC 2023.

    Pdf Bibtex
    @inproceedings { LGuo : sc, author = "Hyungro Lee, Luanzheng Guo, Meng Tang, Jesun Firoz, Nathan Tallent, Anthony Kougkas, Xian-He Sun", title = "{Data Lifecycles: Optimizing Workflow Task & Data Coordination}", booktitle = "{International Conference for High Performance Computing, Networking, Storage and Analysis}", month = "Oct", year = "2023", }
    Code
  • GraphX: Automatic Code Generation for High-Performance Graph Algorithms

    Zhen Peng, Rizwan A. Ashraf, Luanzheng Guo, Ruiqin Tian, Gokcen Kestor.

    in PACT 2023.

    Pdf Bibtex
    @inproceedings { LGuo : pact, author = "Zhen Peng, Rizwan A. Ashraf, Luanzheng Guo, Ruiqin Tian, Gokcen Kestor", title = "{GraphX: Automatic Code Generation for High-Performance Graph Algorithms}", booktitle = "{International Conference on Parallel Architectures and Compilation Techniques}", month = "Sep", year = "2023", }
    Code
  • Automatic Code Generation for High-Performance Graph Algorithms

    Rizwan A. Ashraf, Zhen Peng, Luanzheng Guo, Gokcen Kestor.

    in LLVM Workshop, 2023.

    Pdf Bibtex
    @inproceedings { LGuo : llvm, author = "Rizwan A. Ashraf, Zhen Peng, Luanzheng Guo, Gokcen Kestor", title = "{Automatic Code Generation for High-Performance Graph Algorithms}", booktitle = "{LLVM Performance Workshop in conjunction with the International Symposium on Code Generation and Optimization}", month = "Augest", year = "2023", }
    Code
  • Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC

    Luanzheng Guo, Jay F. Lofstead, Jie Ren, Ignacio Laguna, Gokcen Kestor, Line Pouchard, Dossay Oryspayev, Hyeran Jeon.

    in ISC-HPC WOCC workshop, 2023.

    Pdf Bibtex
    @inproceedings { LGuo : wocc, author = "Luanzheng Guo, Jay F. Lofstead, Jie Ren, Ignacio Laguna, Gokcen Kestor, Line Pouchard, Dossay Oryspayev, Hyeran Jeon", title = "{Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC}", booktitle = "{International Workshop on Converged Computing in conjunction with ISC HPC Conference}", month = "June", year = "2023", }
    Code
  • Im2win: An Efficient Convolution Paradigm on GPU

    Shuai Lu, Jun Chu, Luanzheng Guo, and Xu T. Liu.

    in Euro-Par 2023.

    Pdf Bibtex
    @inproceedings { LGuo : europar, author = "Shuai Lu, Jun Chu, Luanzheng Guo, and Xu T. Liu", title = "{Im2win: An Efficient Convolution Paradigm on GPU}", booktitle = "{International European Conference on Parallel and Distributed Computing}", month = "July", year = "2023", }
    Code
  • LAHyperGraph: Parallel Hypergraph Analytics in the Language of Linear Algebra

    Luanzheng Guo, Jesun Firoz, and Gokcen Kestor.

    in SIAM ACDA 2023.

    Pdf Bibtex
    @inproceedings { LGuo : acda, author = "Luanzheng Guo, Jesun Firoz, and Gokcen Kestor", title = "{LAHyperGraph: Parallel Hypergraph Analytics in the Language of Linear Algebra}", booktitle = "{SIAM Conference on Applied and Computational Discrete Algorithms (ACDA)}", month = "May", year = "2023", }
    Code
  • On Higher-performance Sparse Tensor Transposition

    Luanzheng Guo and Gokcen Kestor.

    in IPDPSW, 2023.

    Pdf Bibtex
    @inproceedings { LGuo : ipdpsw, author = "Luanzheng Guo and Gokcen Kestor", title = "{On Higher-performance Sparse Tensor Transposition}", booktitle = "{International Parallel and Distributed Processing Symposium Workshops}", month = "April", year = "2023", }
    Code
  • A High-dimensional Algorithm-Based Fault Tolerance Scheme

    Fu Xiang, Hao Tang, Huimin Liao, Xin Huang, Wubiao Xu, Shimeng Meng, Weiping Zhang, Luanzheng Guo, Kento Sato.

    in IPDPSW, 2023.

    Pdf Bibtex
    @inproceedings { LGuo : ipdpsw, author = "Fu Xiang, Hao Tang, Huimin Liao, Xin Huang, Wubiao Xu, Shimeng Meng, Weiping Zhang, Luanzheng Guo, Kento Sato", title = "{A High-dimensional Algorithm-Based Fault Tolerance Scheme}", booktitle = "{International Parallel and Distributed Processing Symposium Workshops}", month = "April", year = "2023", }
    Code
  • Correlating Fault-Tolerance Boundary and Error Propagation

    Zhimin Li, Harshitha Menon, Kathryn Mohror, Luanzheng Guo, Peer-Timo Bremer, Valerio Pascucci.

    in IEEE Transactions on Visualization and Computer Graphics, 2022.

    Pdf Bibtex
    @inproceedings { LGuo : tvcg, author = "Zhimin Li, Harshitha Menon, Kathryn Mohror, Luanzheng Guo, Peer-Timo Bremer, Valerio Pascucci", title = "{Correlating Fault-Tolerance Boundary and Error Propagation}", booktitle = "{IEEE Transactions on Visualization and Computer Graphics}", month = "Feb", year = "2022", }
    Code
  • A High-Performance Sparse Tensor Algebra Compiler in MLIR

    Ruiqin Tian, Luanzheng Guo, Jiajia Li, Bin Ren, and Gokcen Kestor.

    in IEEE/ACM 7th Workshop on the LLVM Compiler Infrastructure in HPC, 2021.

    Pdf Bibtex
    @inproceedings { LGuo : jpdc, author = "Ruiqin Tian, Luanzheng Guo, Jiajia Li, Bin Ren, and Gokcen Kestor", title = "{A High-Performance Sparse Tensor Algebra Compiler in MLIR}", booktitle = "{IEEE/ACM 7th Workshop on the LLVM Compiler Infrastructure in HPC}", month = "April", year = "2021", }
    Code
  • Sparse Tensor Algebra Optimizations in MLIR

    Ruiqin Tian, Luanzheng Guo, and Gokcen Kestor.

    in LLVM Developers' Meeting, 2021.

    Pdf Bibtex
    @inproceedings { LGuo : jpdc, author = "Ruiqin Tian, Luanzheng Guo, and Gokcen Kestor", title = "{Sparse Tensor Algebra Optimizations in MLIR}", booktitle = "{LLVM Developers' Meeting}", month = "March", year = "2021", }
    Code
  • PARIS: Predicting Application Resilience Using Machine Learning

    Luanzheng Guo, Dong Li, and Ignacio Laguna.

    in Journal of Parallel and Distributed Computing, 03/2021.

    Pdf Bibtex
    @inproceedings { LGuo : jpdc, author = "Luanzheng Guo, Dong Li, and Ignacio Laguna", title = "{PARIS: Predicting Application Resilience Using Machine Learning}", booktitle = "{Journal of Parallel and Distributed Computing (JPDC)}", month = "Aug", year = "2021", }
    Code
  • MATCH: An MPI Fault Tolerance Benchmark Suite
    Research highlighted by HPCwire

    Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris, Ignacio Laguna, and Dong Li.

    in IEEE International Symposium on Workload Characterization (IISWC'20), 08/2020.

    Pdf Bibtex
    @inproceedings { LGuo : iiswc_20, author = "Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris, Ignacio Laguna, and Dong Li", title = "{MATCH: An MPI Fault Tolerance Benchmark Suite}", booktitle = "{IEEE International Symposium on Workload Characterization (IISWC'20)}", month = "Aug", year = "2020", }
    Code
  • Reinit++: Evaluating the Performance of Global-Restart Recovery Methods For MPI Fault Tolerance

    Giorgis Georgakoudis, Luanzheng Guo and Ignacio Laguna.

    in ISC HPC Conference (ISC'20), 02/2020.

    Pdf Bibtex
    @inproceedings { LGuo : phdshowcase_19, author = "Giorgis Georgakoudis, Luanzheng Guo and Ignacio Laguna", title = "{Reinit++: Evaluating the Performance of Global-Restart Recovery Methods For MPI Fault Tolerance}", booktitle = "{ISC HPC Conference (ISC'20)}", month = "Feb", year = "2020", }
    Code
  • PhD-Showcase: Characterization and Modeling of Error Resilience in HPC Applications

    Luanzheng Guo and Dong Li.

    in ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC'19), 11/2019.

    Pdf Bibtex
    @inproceedings { LGuo : phdshowcase_19, author = "Luanzheng Guo and Dong Li", title = "{Characterization and Modeling of Error Resilience in HPC Applications}", booktitle = "{ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC’19)}", month = "Nov", year = "2019", }
    Code
  • PhD-Showcase: Characterization and Modeling of Error Resilience in HPC Applications

    Luanzheng Guo and Dong Li.

    in IEEE International Parallel and Distributed Processing Symposium (IPDPS'19), 05/2019.

    Pdf Bibtex
    @inproceedings { LGuo : phdshowcase_19, author = "Luanzheng Guo and Dong Li", title = "{Characterization and Modeling of Error Resilience in HPC Applications}", booktitle = "{IEEE International Parallel and Distributed Processing Symposium (IPDPS'19)}", month = "May", year = "2019", }
    Code
  • Paper: MOARD: Modeling Application Resilience to Transient Faults on Data Objects

    Luanzheng Guo and Dong Li.

    in IEEE International Parallel and Distributed Processing Symposium (IPDPS'19), 05/2019.

    Pdf Bibtex
    @inproceedings { LGuo : moard_19, author = "Luanzheng Guo and Dong Li", title = "{MOARD: Modeling Application Resilience to Transient Faults on Data Objects}", booktitle = "{IEEE International Parallel and Distributed Processing Symposium (IPDPS'19)}", month = "May", year = "2019", }
    Code
  • Paper: FlipTracker: Understanding Natural Error Resilience in HPC Applications
    Research highlighted by HPCwire

    Luanzheng Guo, Dong Li, Ignacio Laguna, and Martin Schulz.

    in ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC'18), 11/2018.

    Pdf Bibtex
    @inproceedings { LGuo : fliptracker_18, author = "Luanzheng Guo and Dong Li and Ignacio Laguna and Martin Schulz", title = "{FlipTracker: Understanding Natural Error Resilience in HPC Applications}", booktitle = "{ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC’18)}", month = "Nov", year = "2018", }
    Code
  • Paper: Indoor Frame Recovering Via Line Segments Refinement and Voting.

    Jun Chu, Lenny GuoLu, Lingfeng Wang, Chunhong Pan, and Shiming Xiang.

    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 26/05/2013.

    Pdf Bibtex
    @inproceedings { JChu : frame_recovery_13, author = "Jun Chu and Lenny GuoLu and Lu Wang", title = "{Indoor Frame Recovering Via Line Segments Refinement and Voting}", booktitle = "{IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’2013)}", month = "May", year = "2013", }
    Code-link1 Code-link2
  • Paper: Chessboard corner detection under Image physical coordinate.

    Jun Chu, Lenny GuoLu, and Lu Wang.

    Optics and Laser Technology, 48(0): 599-605, 2013.

    Pdf Bibtex
    @article { JChu : physical_coordinate_13, author = "Jun Chu and Lenny GuoLu and Lu Wang", title = "{Chessboard corner detection under Image physical coordinate}", journal = "Optics and Laser Technology", volume = 48, number = 0, pages = "599-605", year = {2013}, }
    Code-link1 Code-link2
  • Paper: Chessboard corner detection based on circular template.

    Jun Chu, Lenny GuoLu, and Guihua Zhao.

    Optics and Precision Engineering, 21(1): 189-196, 2013.

    Pdf Bibtex
    @inproceedings { JChu : circular_template_13, author = "Jun Chu and Lenny GuoLu and Guihua Zhao", title = "{Chessboard corner detection based on circular template}", journal = "Optics and Precision Engineering", volume = 21, number = 1, pages = "189-196", year = {2013}, }
    Code-link1 Code-link2
  • Education

    • PhD Student in Computer Science, University of California, Merced, U.S., Current GPA: 3.8/4.0
      Aug. 2015-2020
    • M.S. in Vision and Pattern Recognition, Nanchang Hangkong University, China, GPA: 3.5/4.0
      Sep. 2011- Jun. 2014
      B.S. in Computer Science, Nanchang Hangkong University, China, GPA: 3.2/4.0
      Sep. 2007- Jun. 2011

    References

    • Nathan Tallent, Team Lead, Pacific Northwest National Laboratory.
      Email: nathan.tallent[at]pnnl.gov
    • Dong Li, Associate Professor, University of California, Merced.
      Email: dli35[at]ucmerced.edu
    • Ignacio Laguna, Computer Scientist, LLNL.
      Email: lagunaperalt1[at]llnl.gov
    • Martin Schulz, Chief Professor, Technical University of Munich.
      Email: schulzm[at]in.tum.de
    • Jun Chu, Professor, Nanchang Hangkong Unviersity.
      Email: chujun[at]nchu.edu.cn
    • Chunhong Pan, Professor, Chinese Academy of Sciences.
      Email: chpan[at]nlpr.ia.ac.cn
    • Shiming Xiang, Professor, Chinese Academy of Sciences.
      Email: smxiang[at]nlpr.ia.ac.cn

    Contact Info


    Email: lguo4@ucmerced.edu
    Office:
    213, S&E 2
    University of California Merced
    5200 North Lake Road
    Merced, CA 95343

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