Publications

Works done during my Ph.D.

Yi-Chien Lin, Gangda Deng, Viktor Prasanna, “A Unified CPU-GPU Protocol for GNN Training,” 21st ACM International Conference on Computing Frontiers (CF), 2024

Yi-Chien Lin, Yuyang Chen, Sameh Gobriel, Nilesh Jain, Gopi Krishna Jha, Viktor Prasanna, “ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor,” IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2024 [Best Paper Nominee]

Yi-Chien Lin, Bingyi Zhang, Viktor Prasanna, “HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform,” IEEE Transactions on Parallel and Distributed Systems (TPDS), 2024

Yi-Chien Lin, Viktor Prasanna, “HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture,” IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2023

Yi-Chien Lin, Bingyi Zhang, Viktor Prasanna, “Accelerating GNN Training on CPU+Multi-FPGA Heterogeneous Platform,” The Latin America High Performance Computing (CARLA), 2022

Yi-Chien Lin, Bingyi Zhang, Viktor Prasanna, “HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform,” International Symposium on Field-Programmable Gate Arrays (FPGA), 2022

Yi-Chien Lin, Bingyi Zhang, Viktor Prasanna, “GCN Inference Acceleration using High-Level Synthesis,” IEEE High Performance Extreme Computing Conference (HPEC), 2021

Works done during my undergrad

Yi-Chien Lin, Chih-Hung Lin, Ling-Yu Wu, Chih-Shiuan Lee, “Face Orientation-Based Cursor Positioning on Display Screens,” WIPO Patent No. WO/2021/145855, 2021

Jing-Ping Wu, Yi-Chien Lin, Ying-Wei Wu, Shih-Wei Hsieh, Ching-Hsuan Tai, and Yi-Chang Lu., “A Memory-Efficient Accelerator for DNA Sequence Alignment with Two-Piece Affine Gap Tracebacks,” IEEE International Symposium on Circuits and Systems (ISCAS), 2021