Panruo Wu

Office hours: TuTh 3-4pm

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

Phone: (713) 743 – 7615
Please email before

Bio: 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).


Fall 2022: 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


Recent Publications

More publications with PDF downloads.

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
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: 5/6/2020