Jeongmin Brian Park

According to our database, Jeongmin Brian Park authored at least 6 papers between 2022 and 2024.

Collaborative distances:

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

2024

Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses.

Jeongmin Brian Park, Vikram Sharma Mailthody, Zaid Qureshi, Wen-Mei Hwu

Proc. VLDB Endow., February, 2024

LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme.

Jeongmin Brian Park, Kun Wu, Vikram Sharma Mailthody, Zaid Qureshi, Scott A. Mahlke, Wen-Mei W. Hwu

CoRR, 2024

2023

CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs.

Jeongmin Brian Park, Zaid Qureshi, Vikram S. Mailthody, Andrew Gacek, Shunfan Shao, Mohammad Almasri, Isaac Gelado, Jinjun Xiong, Chris J. Newburn, I-Hsin Chung, Michael Garland, Nikolay Sakharnykh, Wen-Mei W. Hwu

CoRR, 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