2 papers
cs.CE2026
Adaptive Parallel-in-Time Integration with Dynamic Resource Management
Keerthi Gaddameedi, Dominik Huber, Martin Schreiber +4
As computational resources continue to grow, the strong-scaling limitations of spatial parallelism motivate the pursuit of additional concurrency in the temporal dimension, particu…
math.NA2023
Efficient and Scalable Kernel Matrix Approximations using Hierarchical Decomposition
Keerthi Gaddameedi, Severin Reiz, Tobias Neckel +1
With the emergence of Artificial Intelligence, numerical algorithms are moving towards more approximate approaches. For methods such as PCA or diffusion maps, it is necessary to co…