Research Interests

• Compiler and runtime support for high-performance machine learning
• Parallelization for data-intensive and compute-intensive applications
• Programming models for irregular applications

Research Interests (Keywords)

Compilers; Parallel Computing; Programming Languages

Selected Publication

• cuKE: An Efficient Code Generator for Score Function Computation in Knowledge Graph Embedding. Lihan Hu, Jing Li, and Peng Jiang. IPDPS 2024
• STMatch: Accelerating Graph Pattern Matching on GPU with Stack-Based Loop Optimization. Yihua Wei, Peng Jiang. SC 2022
• Rethinking Graph Data Placement for Graph Neural Network Training on Multiple GPUs. Shihui Song, Peng Jiang. ICS 2022
• A Novel Data Transformation and Execution Strategy for Accelerating Sparse Matrix Multiplication on GPUs. Peng Jiang, Changwan Hong, Gagan Agrawal. PPoPP 2020
• A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication. Peng Jiang, Gagan Agrawal. NeurIPS 2018