3 citations · 3 across the 4 of their papers we have counts for
4 papers
A Framework for Automatic Validation and Application of Lossy Data Compression in Ensemble Data Assimilation
Kai Keller, Hisashi Yashiro, Mohamed Wahib +3
Ensemble data assimilation techniques form an indispensable part of numerical weather prediction. As the ensemble size grows and model resolution increases, the amount of required…
A Framework for Large Scale Particle Filters Validated with Data Assimilation for Weather Simulation
Sebastian Friedemann, Kai Keller, Yen-Sen Lu +2
Particle filters are a group of algorithms to solve inverse problems through statistical Bayesian methods when the model does not comply with the linear and Gaussian hypothesis. Pa…
Extending the OpenCHK Model with Advanced Checkpoint Features
Marcos Maroñas, Sergi Mateo, Kai Keller +3
One of the major challenges in using extreme scale systems efficiently is to mitigate the impact of faults. Application-level checkpoint/restart (CR) methods provide the best trade…
Application-Level Differential Checkpointing for HPC Applications with Dynamic Datasets
Kai Keller, Leonardo Bautista Gomez
High-performance computing (HPC) requires resilience techniques such as checkpointing in order to tolerate failures in supercomputers. As the number of nodes and memory in supercom…