1 citations · 1 across the 3 of their papers we have counts for
4 papers
Differentiating Through Linear Solvers
Paul Hovland, Jan Hückelheim
Computer programs containing calls to linear solvers are a known challenge for automatic differentiation. Previous publications advise against differentiating through the low-level…
Forward Gradients for Data-Driven CFD Wall Modeling
Jan Hückelheim, Tadbhagya Kumar, Krishnan Raghavan +1
Computational Fluid Dynamics (CFD) is used in the design and optimization of gas turbines and many other industrial/ scientific applications. However, the practical use is often li…
Reducing Memory Requirements of Quantum Optimal Control
Sri Hari Krishna Narayanan, Thomas Propson, Marcelo Bongarti +2
Quantum optimal control problems are typically solved by gradient-based algorithms such as GRAPE, which suffer from exponential growth in storage with increasing number of qubits a…
Optimised finite difference computation from symbolic equations
Michael Lange, Navjot Kukreja, Fabio Luporini +4
Domain-specific high-productivity environments are playing an increasingly important role in scientific computing due to the levels of abstraction and automation they provide. In t…