R. Chen

Shanghai Jiao Tong University. No.800, Dongchuan Road, SEIEE Building 3-125, Minhang District, Shanghai, China.

I’m a second-year PhD candidate at Shanghai Jiao Tong University (SJTU), supervised by Prof.Xiaoyao Liang and Prof.Zhuoran Song. My research lies in Computer Architecture, specifically system or architecure optimazations on graph applications (e.g. GNN). Recently, I’ve also developed an interest in efficient LLM inference, with a particular focus on speculative decoding.

news

Feb 15, 2025 Our paper “SAGA: A Memory-Efficient Accelerator for GANN Construction via Harnessing Vertex Similarity” has been accepted by DAC 2025 (CCF-A, First Author)!
Feb 07, 2025 Our paper “GIFTS: Efficient GCN Inference Framework on PyTorch-CPU via Exploring the Sparsity” has been accepted by IPDPS 2025 (CCF-B, First Author)! Our code has been open-sourced and is available at https://github.com/ACA-Lab/GIFTS !
Oct 23, 2023 Our paper “Differential-Matching Prefetcher for Indirect Memory Access” has been accepted by HPCA 2024 (CCF-A)!
Feb 17, 2023 Our paper “A Comprehensive Performance Model of Sparse Matrix-Vector Multiplication to Guide Kernel Optimization” has been accepted by TPDS 2022 (CCF-A)!
May 06, 2022 Mathematical Contest in Modeling (MCM) : Outstanding Winner (top 0.15%, globally), COMAP Scholarship Award (4 out of 27205 teams, $3000 / person), AMS Award. For details, please visit the official website (refer to 2213970).

selected publications

  1. IPDPS
    GIFTS: Efficient GCN Inference Framework on PyTorch-CPU via Exploring the Sparsity
    Ruiyang Chen, Xing Li, Xiaoyao Liang, and Zhuoran Song
    In Proceedings of the IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2025
    Code
  2. DAC
    SAGA: A Memory-Efficient Accelerator for GANN Construction via Harnessing Vertex Similarity
    Ruiyang Chen, Xueyuan Liu, Chunyu Qi, Yuanzheng Yao, Yanan Sun, Xiaoyao Liang, and Zhuoran Song
    In Design Automation Conference (DAC), 2025