activity
20152026
most citedGHOST: Building blocks for high performance sparse linear algebra on heterogeneous systems

23 citations · 35 across the 8 of their papers we have counts for

collaborators

8 papers

math.NA2026

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…

cs.AI2026

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…

quant-ph2024★ 2 cited

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…

math.NA2023

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…

cs.SE2021

(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…

math.NA2021★ 9 cited

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…

physics.comp-ph2018★ 1 cited

Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects

Andreas Alvermann, Achim Basermann, Hans-Joachim Bungartz +30

We first briefly report on the status and recent achievements of the ELPA-AEO (Eigenvalue Solvers for Petaflop Applications - Algorithmic Extensions and Optimizations) and ESSEX II…

cs.DC2015★ 23 cited

GHOST: Building blocks for high performance sparse linear algebra on heterogeneous systems

Moritz Kreutzer, Jonas Thies, Melven Röhrig-Zöllner +7

While many of the architectural details of future exascale-class high performance computer systems are still a matter of intense research, there appears to be a general consensus t…