Seungwon Min

According to our database, Seungwon Min authored at least 13 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

FSSD: FPGA-Based Emulator for SSDs.

Luyang Yu, Yizhen Lu, Meghna Mandava, Edward Richter, Vikram Sharma Mailthody, Seungwon Min, Wen-Mei W. Hwu, Deming Chen

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture.

Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Brian Park, Jinjun Xiong, Chris J. Newburn, Dmitri Vainbrand, I-Hsin Chung, Michael Garland, William J. Dally, Wen-Mei W. Hwu

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture.

Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelago, Seungwon Min, Amna Masood, Jeongmin Brian Park, Jinjun Xiong, Chris J. Newburn, Dmitri Vainbrand, I-Hsin Chung, Michael Garland, William J. Dally, Wen-mei W. Hwu

Dataset, October, 2022

BaM: A Case for Enabling Fine-grain High Throughput GPU-Orchestrated Access to Storage.

Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Brian Park, Jinjun Xiong, Chris J. Newburn, Dmitri Vainbrand, I-Hsin Chung, Michael Garland, William J. Dally, Wen-Mei W. Hwu

CoRR, 2022

Graph Neural Network Training and Data Tiering.

Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-Mei Hwu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture.

Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei W. Hwu

Proc. VLDB Endow., 2021

Graph Neural Network Training with Data Tiering.

Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-mei W. Hwu

CoRR, 2021

PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses.

Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-Mei W. Hwu

CoRR, 2021

2020

EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs.

Seungwon Min, Vikram Sharma Mailthody, Zaid Qureshi, Jinjun Xiong, Eiman Ebrahimi, Wen-Mei Hwu

Proc. VLDB Endow., 2020

Tearing Down the Memory Wall.

Zaid Qureshi, Vikram Sharma Mailthody, Seungwon Min, I-Hsin Chung, Jinjun Xiong, Wen-Mei W. Hwu

CoRR, 2020

2019

Analysis and Optimization of I/O Cache Coherency Strategies for SoC-FPGA Device.

Seungwon Min, Sitao Huang, Mohamed El-Hadedy, Jinjun Xiong, Deming Chen, Wen-Mei Hwu

Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019

2018

Semi-Coherent DMA: An Alternative I/O Coherency Management for Embedded Systems.

Seungwon Min, Mohammad Alian, Wen-Mei Hwu, Nam Sung Kim

IEEE Comput. Archit. Lett., 2018

Application-Transparent Near-Memory Processing Architecture with Memory Channel Network.

Mohammad Alian, Seungwon Min, Hadi Asgharimoghaddam, Ashutosh Dhar, Dong Kai Wang, Thomas Roewer, Adam J. McPadden, Oliver O'Halloran, Deming Chen, Jinjun Xiong, Daehoon Kim, Wen-Mei W. Hwu, Nam Sung Kim

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018