Måns I. Andersson

According to our database, Måns I. Andersson authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Portable High-Performance Kernel Generation for a Computational Fluid Dynamics Code with DaCe.

Måns I. Andersson, Martin Karp, Niclas Jansson, Stefano Markidis

CoRR, June, 2025

Optimizing FDTD Solvers for Electromagnetics: A Compiler-Guided Approach with High-Level Tensor Abstractions.

Yifei He, Måns I. Andersson, Stefano Markidis

CoRR, April, 2025

Preconditioned CG and GMRES for interior point methods with applications in radiation therapy.

Felix Liu, Måns I. Andersson, Albin Fredriksson, Stefano Markidis

J. Comput. Sci., 2025

Experience and analysis of scalable high-fidelity computational fluid dynamics on modular supercomputing architectures.

Martin Karp, Estela Suarez, Jan H. Meinke, Måns I. Andersson, Philipp Schlatter, Stefano Markidis, Niclas Jansson

Int. J. High Perform. Comput. Appl., 2025

A Parallel and Highly-Portable HPC Poisson Solver: Preconditioned Bi-CGSTAB with alpaka.

Luca Pennati, Måns I. Andersson, Klaus Steiniger, René Widera, Tapish Narwal, Michael Bussmann, Stefano Markidis

Proceedings of the 2025 IEEE International Parallel and Distributed Processing Symposium, 2025

2024

Anderson Accelerated PMHSS for Complex-Symmetric Linear Systems.

Måns I. Andersson, Felix Liu, Stefano Markidis

Proceedings of the 2024 SIAM Conference on Parallel Processing for Scientific Computing, 2024

Towards Performance Portable Kernels for Computational Fluid Dynamics Using DaCe.

Måns Ivar Andersson, Martin Karp, Stefano Markidis

Proceedings of the Workshop Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023

A Case Study on DaCe Portability & Performance for Batched Discrete Fourier Transforms.

Måns Ivar Andersson, Stefano Markidis

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2023

2022

Distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans.

Felix Liu, Måns I. Andersson, Albin Fredriksson, Stefano Markidis

Proceedings of the Parallel Processing and Applied Mathematics, 2022

Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software.

Måns I. Andersson, Natarajan Arul Murugan, Artur Podobas, Stefano Markidis

Proceedings of the Parallel Processing and Applied Mathematics, 2022

FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries.

Yifei He, Artur Podobas, Måns I. Andersson, Stefano Markidis

Proceedings of the Euro-Par 2022: Parallel Processing Workshops, 2022

2021

Why Phishing Works on Smartphones: A Preliminary Study.

Joakim Loxdal, Måns I. Andersson, Simon Hacks, Robert Lagerström

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021