Seokjin Go

According to our database, Seokjin Go authored at least 4 papers between 2023 and 2025.

Collaborative distances:

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

2025

MoETuner: Optimized Mixture of Expert Serving with Balanced Expert Placement and Token Routing.

Seokjin Go, Divya Mahajan

CoRR, February, 2025

2024

DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism.

Cheonjun Park, Mincheol Park, Hyunchan Moon, Myung Kuk Yoon, Seokjin Go, Suhyun Kim, Won Woo Ro

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Generalizing Ray Tracing Accelerators for Tree Traversals on GPUs.

Dongho Ha, Lufei Liu, Yuan-Hsi Chou, Seokjin Go, Won Woo Ro, Hung-Wei Tseng, Tor M. Aamodt

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

2023

Early-Adaptor: An Adaptive Framework forProactive UVM Memory Management.

Seokjin Go, Hyunwuk Lee, Junsung Kim, Jiwon Lee, Myung Kuk Yoon, Won Woo Ro

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023