Kun Wu - RankMe

17 papers A* 3A 2Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	SSDTrain: An Activation Offloading Framework to SSDs for Faster Large Language Model Training. DAC Kun Wu, Jeongmin Brian Park, Xiaofan Zhang, Mert Hidayetoglu, Vikram Sharma Mailthody, Sitao Huang, Steven S. Lumetta, Wen-Mei Hwu
2024	—	`conf`	Acceleration of Graph Neural Networks with Heterogenous Accelerators Architecture. SC Workshops Kaiwen Cao, Archit Gajjar, Liad Gerstman, Kun Wu, Sai Rahul Chalamalasetti, Aditya Dhakal, Giacomo Pedretti, Pavana Prakash, Wen-Mei Hwu, Deming Chen, Dejan S. Milojicic
2024	—	`conf`	Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures. ASPLOS (3) Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-Mei Hwu
2024	J	`jnl`	LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme. CoRR Jeongmin Brian Park, Kun Wu, Vikram Sharma Mailthody, Zaid Qureshi, Scott A. Mahlke, Wen-mei W. Hwu
2024	J	`jnl`	TBA: Faster Large Language Model Training Using SSD-Based Activation Offloading. CoRR Kun Wu, Jeongmin Brian Park, Xiaofan Zhang, Mert Hidayetoglu, Vikram Sharma Mailthody, Sitao Huang, Steven S. Lumetta, Wen-mei W. Hwu
2023	J	`jnl`	PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks. CoRR Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-mei W. Hwu
2022	A*	`conf`	Graph Neural Network Training and Data Tiering. KDD Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-Mei Hwu
2021	—	`conf`	A Python-based High-Level Programming Flow for CPU-FPGA Heterogeneous Systems : (Invited Paper). PEHC@SC Sitao Huang, Kun Wu, Sai Rahul Chalamalasetti, Izzat El Hajj, Cong Xu, Paolo Faraboschi, Deming Chen
2021	J	`jnl`	Graph Neural Network Training with Data Tiering. CoRR Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-mei W. Hwu
2021	J	`jnl`	Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture. CoRR Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei W. Hwu
2021	J	`jnl`	Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture. Proc. VLDB Endow. Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei W. Hwu
2021	A	`conf`	PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow. FPGA Sitao Huang, Kun Wu, Hyunmin Jeong, Chengyue Wang, Deming Chen, Wen-Mei Hwu
2021	J	`jnl`	PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow. IEEE Trans. Computers Sitao Huang, Kun Wu, Hyunmin Jeong, Chengyue Wang, Deming Chen, Wen-Mei Hwu
2021	J	`jnl`	PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses. CoRR Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei W. Hwu
2021	A	`conf`	TEMPI: An Interposed MPI Library with a Canonical Representation of CUDA-aware Datatypes. HPDC Carl Pearson, Kun Wu, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu
2020	J	`jnl`	Fast CUDA-Aware MPI Datatypes without Platform Support. CoRR Carl Pearson, Kun Wu, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu
2019	A*	`conf`	Memory-Bound Proof-of-Work Acceleration for Blockchain Applications. DAC Kun Wu, Guohao Dai, Xing Hu, Shuangchen Li, Xinfeng Xie, Yu Wang, Yuan Xie