I am now a Postdoc at CUHK, and completed my PhD in 2.5 years from CUHK on Shenzhen campus. My CV is da.

My research focuses on optimizing sparse workloads for modern computing hardware. This involves addressing the challenge of efficiently processing sparse data structures (containing mostly empty or zero values) on hardware designed for dense, regular computations.

  • Parallel Graph algorithms, e,g, PageRank, BFS, Triangle Counting, etc.
  • Sparse matrix multiplication (SpMV, SpMM, SDDMM, SpGEMM) on CPUs and GPUs
  • Graph Neural Network & Sparse Large Language Models.

By exploring the interplay between sparse workloads and modern hardware architectures, I aim to develop innovative solutions for high-performance computing in graph analytics, machine learning, and scientific simulations.

Also, I am a fan of modern C++ programming, particularly in the context of C++23.

In 2018, I received my dual master degrees in Multicore Systems from TU Eindhoven, Netherlands and TU Berlin, Germany with full scholarship granted by European Union. In 2015, I obtained my bachelor degree at Huazhong University of Science and Technology (HUST). Also, in 2014-2015, being sponsored by CSC scholarship, I studied as an exchange student in RWTH Aachen, Germany.

Publications

YuAng Chen and Yeh-Ching Chung, “Workload Balancing via Graph Reordering on Multicore Systems,” IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 33, No. 5, 2022, pp. 1231-1245.

YuAng Chen and Yeh-Ching Chung, “HiPa: Hierarchical Partitioning for Fast Page Rank on Multicore Systems,” Proceedings of IEEE International conference on Parallel Processing (ICPP), Article No. 24, 2021, pp. 1-10.

YuAng Chen and Yeh-Ching Chung, “Corder: Cache-Aware Reordering For Optimizing Graph Analytics,” Proceedings of ACM International conference on Principles and Practice of Parallel Programming (PPoPP), 2021, pp.472-473.

YuAng Chen and Yeh-Ching Chung, “A Unequal Caching Strategy for Shared-Memory Graph Analytics”, IEEE Transaction on Parallel and Distributed Systems (TPDS), Vol. 34, No. 3, 2023, pp. 955-967.

YuAng Chen and Yeh-Ching Chung, “Connectivity-Aware Link Analysis for Skewed Graphs,” Proceedings of International Conference on Parallel Processing (ICPP), pp. 482-491. 2023.

YuAng Chen and Jeffery Xu Yu. “Accelerating SpMV for Scale-Free Graphs with Optimized Bins.” In 2024 IEEE 40th International Conference on Data Engineering (ICDE), pp. 2407-2420. IEEE, 2024.

YuAng Chen and Jeffery Xu Yu, “Vectorized Sparse Blocks of Graph Matrices”, Euro-Par'24

YuAng Chen and Jeffery Xu Yu, “Bitmap-Based Sparse Matrix-Vector Multiplication with Tensor Cores”, ICPP'24

Ongoing Work

YuAng Chen and Yeh-Ching Chung, “Locality Extraction & Blocking for Graph Adjacency Matrix Multiplications”, under review

YuAng Chen and Jeffery Xu Yu, “Triangle Counting on Tensor Cores”, under review

Teaching

2020  Spring : Introduction to Programming Methodology
2020  Fall      : Operating System
2021  Spring : Compiler Design
2021  Fall      : Operating System
2022  Spring : Computer Architecture