I am an Assistant Professor in the Computer Science Department at the University of Iowa. My research interests generally lie in the areas of high-performance computing, systems, and machine learning. I received the NSF CAREER Award for research in compiler and runtime support for data-intensive applications on heterogeneous hardware.
I earned my Ph.D. from the Ohio State University under the supervision of Dr. Gagan Agrawal. I received an M.S. in Computer Science from the Chinese Academy of Science and a B.S. from Xidian University, Xi’an, China.
More info about research projects can be found on my group’s page.
cuKE: An Efficient Code Generator for Score Function Computation in Knowledge Graph Embedding. IPDPS 2024.
Lihan Hu, Jing Li, and Peng Jiang
STMatch: Accelerating Graph Pattern Matching on GPU with Stack-Based Loop Optimization. SC 2022.
Yihua Wei, Peng Jiang
Rethinking Graph Data Placement for Graph Neural Network Training on Multiple GPUs. ICS 2022.
Shihui Song, Peng Jiang
A Novel Data Transformation and Execution Strategy for Accelerating Sparse Matrix Multiplication on GPUs. PPoPP 2020.
Peng Jiang, Changwan Hong, Gagan Agrawal
A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication. NeurIPS 2018.
Peng Jiang, Gagan Agrawal