About Me

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 randomized 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.

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Teaching

• CS3620: Operating Systems
• CS4700: High Performance and Parallel Computing
• CS4980: Topics on High-Performance Computing

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Research

More info about research projects can be found on my group’s page.

Selected Publications (Full List)

cuKE: An Efficient Code Generator for Score Function Computation in Knowledge Graph Embedding. IPDPS 2024.
Lihan Hu, Jing Li, and Peng Jiang

Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training. NeurIPS 2022.
Peng Jiang, Lihan Hu, Shihui Song

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

Accelerating Sparse CNN Inference on GPUs with Performance-Aware Weight Pruning. PACT 2020.
Masuma Akter Rumi, Xiaolong Ma, Yanzhi Wang, 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