Melven Röhrig-Zöllner

Orcid: 0000-0001-9851-5886

According to our database1, Melven Röhrig-Zöllner authored at least 16 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Quantum Software Ecosystem Design.
Proceedings of the Software Engineering 2025 Companion Proceedings, 2025

2024
Quantum Software Ecosystem Design.
Proceedings of the Quantum Software - Aspects of Theory and System Design, 2024

2023
SIMD vectorization for simultaneous solution of locally varying linear systems with multiple right-hand sides.
J. Supercomput., September, 2023

Performance of linear solvers in tensor-train format on current multicore architectures.
CoRR, 2023

2022
Performance of the Low-Rank TT-SVD for Large Dense Tensors on Modern MultiCore CPUs.
SIAM J. Sci. Comput., 2022

2021
(R)SE challenges in HPC.
CoRR, 2021

Performance of low-rank approximations in tensor train format (TT-SVD) for large dense tensors.
CoRR, 2021

2020

PHIST: A Pipelined, Hybrid-Parallel Iterative Solver Toolkit.
ACM Trans. Math. Softw., 2020

2019
Half-Explicit Exponential Runge-Kutta Methods for Index-1 DAEs in Helicopter Simulation.
Math. Comput. Sci., 2019

2017
GHOST: Building Blocks for High Performance Sparse Linear Algebra on Heterogeneous Systems.
Int. J. Parallel Program., 2017

2016
Towards an Exascale Enabled Sparse Solver Repository.
Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016

Performance Engineering and Energy Efficiency of Building Blocks for Large, Sparse Eigenvalue Computations on Heterogeneous Supercomputers.
Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016

2015
Increasing the Performance of the Jacobi-Davidson Method by Blocking.
SIAM J. Sci. Comput., 2015

Performance and productivity of parallel python programming: a study with a CFD test case.
Proceedings of the 5th Workshop on Python for High-Performance and Scientific Computing, 2015

2014
ESSEX: Equipping Sparse Solvers for Exascale.
Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014


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