Panruo Wu

Office hours: TuTh 3-4pm

Office: PGH 564,
3551 Cullen Blvd
Houston, TX 77204

Phone: (713) 743 – 7615
Please email before
calling.

Recruiting PhD students supported by TA/RA! Please send your resume to pwu7@uh.edu

Bio: I'm currently an associate professor in CS@UH. I joined CS@UH in 2018 as an asssitant professor. I was a post-doctoral research associate in Innovative Computing Laboratory (ICL), University of Tennessee led by Prof. Jack Dongarra. Earlier I did my Ph.D. in computer science at University of California Riverside advised by Prof. Zizhong Chen. Even earlier I did my B.S. in mathematics at Univesisty of Science and Technology of China (USTC).

Teaching

  • Fall 2026: COSC3320 Algorithms and Data Strucutres
  • Spring 2026: COSC4397 Special Topics--Parallel Programming on GPU
  • Fall 2025: COSC3320 Algorithms and Data Structures

    • Research Interests

    • High performance computing
    • Numerical algorithms and software
    • High performance big data analytics
    • Parallel and distributed computing
    • Fault tolerant systems and algorithms

    More detailed research interest descriptions at Research Page

    Projects:

    Selected Recent Publications

    More publications with PDF downloads.

    PPoPP'23 Zhang S, Shah R, Ootomo H, Yokota R, Wu P. Fast Symmetric Eigenvalue Decomposition via WY Representation on Tensor Core
    Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming
    February 25-27, 2023, (pp. 301-312)
    ICPP'21 Zhang S, Wu P. Recursion Brings Speedup to Out-of-Core TensorCore-based Linear Algebra Algorithms: A Case Study of Classic Gram-Schmidt QR Factorization
    Proceedings of the 50th International Conference on Parallel Processing
    August 9-11, 2021
    SOCC'20 Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing
    The 11th ACM Symposium on Cloud Computing
    October 19-21, 2020, (virtual event due to COVID-19)
    ICS'20 TensorSVM: Accelerating Kernel Machines with Tensor Engine
    The 34th ACM International Conference on Supercomputing
    June 29 - July 2, 2020. Barcelona, Spain. Acceptance Rate: 30% (40/132)
    PDF from ACM
    HPDC'20
    Best Paper Nominee    		 High Accuracy Matrix Computations on Neural Engines: a Study of QR Factorization and its Applications
    The 20th ACM International Symposium on High-Performance Parallel and Distributed Computing
    PDF/Web/Video from ACM DL
    BigData'19 xSVM: Scalable Distributed Kernel Support Vector Machine Training
    IEEE International Conference on Big Data in 2019
    ACM TOMS'19 PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP
    ACM Transactions on Mathematical Software, Volume 45(2): 16:1-16:35 (2019)
    PDF from ACM
    SC'18 Fault Tolerant One-sided Matrix Decompositions on Heterogeneous Systems with GPUs
    Proceedings of the 30th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis,
    ICCS'18 The Design of Fast and Energy-Efficient Linear Solvers: On the Potential of Half-Precision Arithmetic and Iterative Refinement Techniques
    International Conference on Computational Science, ICCS 2018
    TPDS'18 Symmetric Indefinite Linear Solver using OpenMP Task on Multicore Architecture
    IEEE Transactions on Parallel and Distributed Systems

    Last updated: 11/6/2023