Peng Jiang, Ph.D.

Assistant Professor
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)

High-Performance Computing

Selected Publication
  • Peng Jiang, Linchuan Chen, Gagan Agrawal. Revealing Parallel Scans and Reductions in Recurrences through Function Reconstruction. The 27th International Conference on Parallel Architectures and Compilation Techniques 
  • Peng Jiang, Gagan Agrawal. A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication. Thirty-second Conference on Neural Information Processing Systems 
  • Peng Jiang, Gagan Agrawal. Combining SIMD and Many/Multi-core Parallelism for Finite State Machines with Enumerative Speculation. Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
  • Peng Jiang, Gagan Agrawal. Efficient SIMD and MIMD Parallelization of Hash-based Aggregation by Conflict Mitigation. Proceedings of the 2017 International Conference on Supercomputing 
Research areas
  • Verifiable, Dependable, and High-Performance Systems
Peng Jiang
Ph.D., The Ohio State University, 2019

201G MacLean Hall (MLH)
Iowa City, IA 52242
United States