Langwen Huang

According to our database, Langwen Huang authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

Scaling Laws of Global Weather Models.

Yuejiang Yu, Langwen Huang, Alexandru Calotoiu, Torsten Hoefler

CoRR, February, 2026

2025

Error bounded compression for weather and climate applications.

Langwen Huang, Luigi Fusco, Florian Scheidl, Jan Zibell, Michael Armand Sprenger, Sebastian Schemm, Torsten Hoefler

CoRR, October, 2025

CrossPipe: Towards Optimal Pipeline Schedules for Cross-Datacenter Training.

Tiancheng Chen, Ales Kubicek, Langwen Huang, Torsten Hoefler

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

2024

LLAMP: Assessing Network Latency Tolerance of HPC Applications with Linear Programming.

Siyuan Shen, Langwen Huang, Marcin Chrapek, Timo Schneider, Jai Dayal, Manisha Gajbe, Robert W. Wisniewski, Torsten Hoefler

Proceedings of the International Conference for High Performance Computing, 2024

Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication.

Lukas Gianinazzi, Alexandros Nikolaos Ziogas, Langwen Huang, Piotr Luczynski, Saleh Ashkboosh, Florian Scheidl, Armon Carigiet, Chio Ge, Nabil Abubaker, Maciej Besta, Tal Ben-Nun, Torsten Hoefler

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

DiffDA: a Diffusion model for weather-scale Data Assimilation.

Langwen Huang, Lukas Gianinazzi, Yuejiang Yu, Peter D. Düben, Torsten Hoefler

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Arrow Matrix Decompositions.

Lukas Gianinazzi, Alexandros Nikolaos Ziogas, Piotr Luczynski, Saleh Ashkboosh, Langwen Huang, Florian Scheidl, Chio Ge, Armon Carigiet, Maciej Besta, Tal Ben-Nun, Torsten Hoefler

Dataset, April, 2023

Compressing multidimensional weather and climate data into neural networks.

Langwen Huang, Torsten Hoefler

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

ENS-10: A Dataset For Post-Processing Ensemble Weather Forecast.

Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler

CoRR, 2022

ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts.

Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022