Siyuan Chen (陈思元)
I am a first year Ph.D. student at computer science department at Carnegie Mellon University, happily advised by Phil Gibbons and Heather Miller, and I am closely working with Ben Titzer. I finished my undergraduate at Turning Class of Peking University, where I was fortunately advised by Yun (Eric) Liang.
My research pursuit is to develop robust software systems with a focus on elegant algorithmic design. Currently, my concentration is on edge machine learning systems. More precisely, I am developing tools to enable efficient execution and cross-platform programming of machine learning models on edge devices through better memory management and the WebAssembly technology.
Previously, I am deeply engaged in the machine learning system, working on performance modeling of data movement for tensor programs (Chimera, HPCA23’), mapping mechanism from DNN to SoC (COMB, DAC23’), RL-based inference framework for dynamic neural networks (ED-Batch, ICML23’), and analytical-based simulator for fused program on general hardware (TileFlow, MICRO23’).
News
- Seq. 2023 I am starting CS PhD at Carnegie Mellon University, co-advised by Phil Gibbons and Heather Miller. Hope for a stimulating and fruitful journey at Pittsburgh!
- Aug. 2023 TileFlow is publicly available!
- Apr. 2023 ED-Batch is accepted to ICML23’, thanks for the mentor and professors!
Publications
(*Equal Contribution)
TileFlow: A Framework for Modeling Fusion Dataflow via Tree-based Analysis. Size Zheng, Siyuan Chen, Siyuan Gao, Liancheng Jia, Guangyu Sun, Runsheng Wang, Yun Liang. MICRO 2023. PDF
ED-Batch: Efficient Automatic Batching of Dynamic Deep Neural Networks via Finite State Machine. Siyuan Chen, Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry. ICML 23’. PDF Code Poster Video.
Memory and Computation Coordinated Mapping of DNNs onto Complex Heterogeneous SoC. Size Zheng, Siyuan Chen, Yun Liang. The 60th Design Automation Conference (DAC), July 2023. PDF
Chimera: An Analytical Optimizing Framework for Effective Compute-intensive Operators Fusion. Size Zheng*, Siyuan Chen*, Pedi Song, Renze Chen, Xiuhong Li, Shengen Yan, Dahua Lin, Jingwen Leng, Yun Liang. 29th international symposium on High Performance Computer Architecture (HPCA), February 2023. PDF.