Publications by Måns Andersson
Peer reviewed
Articles
[1]
M. Karp et al., "Experience and analysis of scalable high-fidelity computational fluid dynamics on modular supercomputing architectures," The international journal of high performance computing applications, 2024.
[2]
A. J. Buckler et al., "Patient-specific biomechanical analysis of atherosclerotic plaques enabled by histologically validated tissue characterization from computed tomography angiography : A case study," Journal of The Mechanical Behavior of Biomedical Materials, vol. 134, 2022.
Conference papers
[3]
M. Andersson, F. Liu and S. Markidis, "Anderson Accelerated PMHSS for Complex-Symmetric Linear Systems," in 2024 SIAM Conference on Parallel Processing for Scientific Computing, PP 2024, 2024, pp. 39-51.
[4]
M. Andersson, M. Karp and S. Markidis, "Towards Performance Portable Kernels for Computational Fluid Dynamics Using DaCe," in 53rd International Conference on Parallel Processing, ICPP 2024 - Workshops Proceedings, 2024, pp. 110-111.
[5]
M. Andersson and S. Markidis, "A Case Study on DaCe Portability & Performance for Batched Discrete Fourier Transforms," in Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region : 2023, 2023.
[6]
M. Andersson et al., "Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software," in PPAM 2022. Lecture Notes in Computer Science, vol 13826., 2023, pp. 333-345.
[7]
F. Liu et al., "Distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans," in PPAM 2022. Lecture Notes in Computer Science, vol 13826., 2023.
[8]
Y. He et al., "FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries," in Euro-Par 2022 : Parallel Processing Workshops: Euro-Par 2022 International Workshops, Glasgow, UK, August 22–26, 2022, Revised Selected Papers, 2023, pp. 80-92.
Non-peer reviewed
Theses
[9]
M. Andersson, "Leveraging Intermediate Representations for High-Performance Portable Discrete Fourier Transform Frameworks : with Application to Molecular Dynamics," Licentiate thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2023:43, 2023.
Other
[10]
[11]
Y. He, M. Andersson and S. Markidis, "Optimizing FDTD Solvers for Electromagnetics : A Compiler-Guided Approach with High-Level Tensor Abstractions," (Manuscript).
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2025-08-02 23:05:40 UTC