3 papers
cs.DC2026
Protecting Futures against Silent Data Corruption -- Efficient Task Replication for Dynamic Data Dependencies
Rüdiger Nather, Claudia Fohry, Mia Reitz
As the size of computational problems grows, so does the likelihood of Silent Data Corruptions (SDCs). A common defense is replication, where the computation is repeated and correc…
cs.DC2026
Finding Conservation Laws of Large Dynamical Systems with Tasks and Futures: A Case Study in Utilizing Dynamic Data Dependencies
Rüdiger Nather
As parallel workloads grow in complexity, managing fine-grained data dependencies becomes a critical challenge. Futures offer a promising model for handling these dependencies, par…
physics.comp-ph2024
Machine Learning Conservation Laws of Dynamical systems
Meskerem Abebaw Mebratie, Rüdiger Nather, Guido Falk von Rudorff +1
Conservation laws are of great theoretical and practical interest. We describe a novel approach to machine learning conservation laws of finite-dimensional dynamical systems using…