Jiya is a PhD student at Department of Computer Science, the University of Chicago. Her advisor is Professor Andrew A. Chien. She is now working on the UpDown Project

The University of Chicago

2023 - Current

PhD Degree (Computer Science)

Illinois Institute of Technology

2020 - 2023

Master Degree (Computer Science)

RENMIN UNIVERSITY of CHINA

2016 - 2020

Bachelor Degree (Computer Science)

Graduate Research Assistant (The University of Chicago)

June 2023 - Current

Advisor: Andrew A. Chien

Research Area: UpDwon project, graph algorithms, simulator, accelerator

Graduate Research Assistant (Illinois Institute of Technology)

August 2020 - June 2023

Advisor: Rujia Wang

Research Area: processing-in-memory (PIM), graph mining algorithm, simulator, accelerator

Undergraduate Research Assistant (Renmin University of China)

Feb 2019 - August 2020

Advisor: Feng Zhang

Research Area: GPU, Sparse Triangular Solves (SpTRSVs), matrix computation, data compression

Jiang P, Wei Y, Su J, Wang R, and Wu B. SampleMine: A framework for applying random sampling to subgraph pattern mining through loop perforation[C]. 31th International Conference on Parallel Architectures and Compilation Techniques, 2022.

Su J, He L, Jiang P, and Wang R. Exploring PIM Architecture for High-Performance Graph Pattern Mining[J]. IEEE Computer Architecture Letters, 2021, 20(2): 114-117.

Zhang F, Su J, Liu W, He B, Wu R, Du X, and Wang R. YuenyeungSpTRSV: A Thread-Level and Warp-Level Fusion Synchronization-Free Sparse Triangular Solve[J]. IEEE Transactions on Parallel and Distributed Systems, 2021, 32(9): 2321-2337.

Su J, Zhang F, Liu W, He B, Wu R, Du X, and Wang R. CapelliniSpTRSV: A thread-level synchronization-free sparse triangular solve on GPUs[C]. 49th International Conference on Parallel Processing-ICPP. 2020: 1-11. (best paper candidates)