2 citations · 2 across the 5 of their papers we have counts for
7 papers
A Discontinuous Galerkin Method for the Intrinsic Beam Model with Kelvin-Voigt Damping
Shivam Sundriyal, Christian Bleffert, Lukas Dreyer +3
We present an energy-stable discontinuous Galerkin (DG) spatial discretization of the intrinsic beam equations with Kelvin-Voigt damping. We reformulate the governing equations by…
Algorithmic algorithm development with LLMs: A Case Study on LLM-Usage for Contraction Order Optimization in Tensor Networks
Fabian Hoppe, Melven Röhrig-Zöllner, Philipp Knechtges
We consider LLM-based algorithm development through a case study on contractionorder optimisation for tensor networks with OpenEvolve. We pay particular attention to the choice of…
Quantum Software Ecosystem Design
Achim Basermann, Michael Epping, Benedikt Fauseweh +7
The rapid advancements in quantum computing necessitate a scientific and rigorous approach to the construction of a corresponding software ecosystem, a topic underexplored and prim…
Performance of linear solvers in tensor-train format on current multicore architectures
Melven Röhrig-Zöllner, Manuel Joey Becklas, Jonas Thies +1
Tensor networks are a class of algorithms aimed at reducing the computational complexity of high-dimensional problems. They are used in an increasing number of applications, from q…
(R)SE challenges in HPC
Jonas Thies, Melven Röhrig-Zöllner, Achim Basermann
We discuss some specific software engineering challenges in the field of high-performance computing, and argue that the slow adoption of SE tools and techniques is at least in part…
Performance of the low-rank tensor-train SVD (TT-SVD) for large dense tensors on modern multi-core CPUs
Melven Röhrig-Zöllner, Jonas Thies, Achim Basermann
There are several factorizations of multi-dimensional tensors into lower-dimensional components, known as `tensor networks'. We consider the popular `tensor-train' (TT) format and…