Yeounoh Chung
Employers on the program
- 2023–2026Google4 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- PyTorch Conference
- IEEE ICDE (International Conference on Data Engineering)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| May 4, 2026 | ICDE 2026 (42nd IEEE International Conference on Data Engineering) | IEEE ICDE (International Conference on Data Engineering) | industry paper | High-Fidelity and Complex Test Data Generation for Google SQL Code Generation Services as Google | |
| Sep 18, 2024 | PyTorch Conference 2024 | PyTorch Conference | lightning talk | Lightning Talk: PyTorch/XLA Auto-Sharding as Google PyTorch/XLA recently launched the new PyTorch/XLA SPMD feature as a first-step to automate ML workloads parallelization using GSPMD. It turns out that the…Show lessPyTorch/XLA recently launched the new PyTorch/XLA SPMD feature as a first-step to automate ML workloads parallelization using GSPMD. It turns out that the performance largely depends on the quality of sharding hints provided by the user – and it requires a correct and deep understanding of model... | |
| Oct 16, 2023 | PyTorch Conference 2023 | PyTorch Conference | poster | Distributed Poster Presentations as Google Automatic Pipeline Parallelism via PyTorch 2.0 Compile - Ho Young Jhoo, Seoul National University As the size of models continues to grow indefinitely,…Show lessAutomatic Pipeline Parallelism via PyTorch 2.0 Compile - Ho Young Jhoo, Seoul National University As the size of models continues to grow indefinitely, distributed training using multiple devices has become indispensable in order to train models that do not fit in a single device. While pipeline... | |
| Oct 16, 2023 | PyTorch Conference 2023 | PyTorch Conference | lightning talk | Lightning Talk: Large-Scale Distributed Training with Dynamo and PyTorch/XLA SPMD as Google In this talk we cover PyTorch/XLA distributed API in relation with Torch.Dynamo. Specifically, we discuss the new PyTorch/XLA SPMD API for automatic…Show lessIn this talk we cover PyTorch/XLA distributed API in relation with Torch.Dynamo. Specifically, we discuss the new PyTorch/XLA SPMD API for automatic parallelization and our latest LLaMA2 training results. PyTorch/XLA SPMD makes it simple for PyTorch developers to distribute their ML workloads... |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Alban Desmaison | 2 | — | 2024 |
| Angela Yi | 2 | — | 2024 |
| Animesh Jain | 2 | — | 2024 |
| Antoni Viros i Martin | 2 | — | 2024 |
| Avik Chaudhuri | 2 | — | 2024 |
| Bin Bao | 2 | — | 2024 |
| Chen Lai | 2 | — | 2024 |
| Chien-Chin Huang | 2 | — | 2024 |
| Eikan Wang | 2 | — | 2024 |
| Emma Ning | 2 | — | 2024 |
| Evan Smothers | 2 | — | 2024 |
| Horace He | 2 | — | 2024 |
| Iris Zhang | 2 | — | 2024 |
| Joe Spisak | 2 | — | 2024 |
| Junghwan Park | 2 | — | 2024 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.