Yunho Jin

According to our database, Yunho Jin authored at least 8 papers between 2021 and 2023.

Collaborative distances:

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

2023

S³: Increasing GPU Utilization during Generative Inference for Higher Throughput.

Yunho Jin, Chun-Feng Wu, David Brooks, Gu-Yeon Wei

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Architecting a Flash-Based Storage System for Low-Cost Inference of Extreme-Scale DNNs.

Yunho Jin, Shine Kim, Tae Jun Ham, Jae W. Lee

IEEE Trans. Computers, 2022

Layerweaver+: A QoS-Aware Layer-Wise DNN Scheduler for Multi-Tenant Neural Processing Units.

Young H. Oh, Yunho Jin, Tae Jun Ham, Jae W. Lee

IEICE Trans. Inf. Syst., 2022

Bigger&Faster: Two-stage Neural Architecture Search for Quantized Transformer Models.

Yuji Chai, Luke Bailey, Yunho Jin, Matthew Karle, Glenn G. Ko

CoRR, 2022

2021

ASAP: Fast Mobile Application Switch via Adaptive Prepaging.

Sam Son, Seung Yul Lee, Yunho Jin, Jonghyun Bae, Jinkyu Jeong, Tae Jun Ham, Jae W. Lee, Hongil Yoon

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling.

Young H. Oh, Seonghak Kim, Yunho Jin, Sam Son, Jonghyun Bae, Jongsung Lee, Yeonhong Park, Dong Uk Kim, Tae Jun Ham, Jae W. Lee

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

Behemoth: A Flash-centric Training Accelerator for Extreme-scale DNNs.

Shine Kim, Yunho Jin, Gina Sohn, Jonghyun Bae, Tae Jun Ham, Jae W. Lee

Proceedings of the 19th USENIX Conference on File and Storage Technologies, 2021

FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks.

Jonghyun Bae, Jongsung Lee, Yunho Jin, Sam Son, Shine Kim, Hakbeom Jang, Tae Jun Ham, Jae W. Lee

Proceedings of the 19th USENIX Conference on File and Storage Technologies, 2021