Peng Jiang @ UIowa

Peng Jiang
Assistant Professor

Office: 201G MacLean Hall
Mailing Address:
Science, University of Iowa
14 MacLean Hall, Iowa City, IA 52242-1419
Email: peng-jiang_at_uiowa.edu
Phone: (319) 467-1690

About Me

I am an assistant professor at Computer Science Department of The University of Iowa. I received my Ph.D. from The Ohio State University in 2019, working with Dr. Gagan Agrawal.

Research interests:

I am looking for self-motivated PhD students, now! Please email me if you are interested in my research.

Publications

PACT'19
Gangyi Zhu, Peng Jiang, Gagan Agrawal
A Methodology for Characterizing Sparse Datasets and Its Application to SIMD Performance Prediction
The 28th International Conference on Parallel Architectures and Compilation Techniques
CC'19
Yang Xia, Peng Jiang, Gagan Agrawal
Enabling prefix sum parallelism pattern for recurrences with principled function reconstruction
Proceedings of the 28th International Conference on Compiler Construction
NeurIPS'18
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
[pdf, bib]
PACT'18
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
[pdf, slides, code, bib]
CGO'18 Peng Jiang, Gagan Agrawal
Conflict-Free Vectorization of Associative Irregular Application with Recent SIMD Architectural Advances
Proceedings of the 2018 International Symposium on Code Generation and Optimization
[pdf, slides, code, bib]
ICS'17 Peng Jiang, Gagan Agrawal
Efficient SIMD and MIMD Parallelization of Hash-based Aggregation by Conflict Mitigation
Proceedings of the 2017 International Conference on Supercomputing
[pdf, slides, code, bib]
PPoPP'17 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
[pdf, slides, code, bib]
ICS'16 Peng Jiang, Linchuan Chen, Gagan Agrawal
Reusing Data Reorganization for Efficient SIMD Parallelization of Adaptive Irregular Applications
Proceedings of the 2016 International Conference on Supercomputing
[pdf, slides, bib]
CGO'16 Linchuan Chen, Peng Jiang, Gagan Agrawal
Exploiting Recent SIMD Architectural Advances for Irregular Applications
Proceedings of the 2016 International Symposium on Code Generation and Optimization
[pdf, bib]

Teaching

AU2019
CS4700 "High Performance and Parallel Computing".
SP2015
TA for CSE2431 "Introduction to Operating System".
AU2014
TA for CSE2431 "Introduction to Operating System".

Professional Services

Program Committee
HiPC'19
Conference Reviewer
Neurips'19, HiPC'17
Artifact Reviewer
PACT'19, PACT'17