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Publications by Niclas Jansson

Peer reviewed

Articles

[1]
D. Massaro et al., "Direct numerical simulation of the turbulent flow around a Flettner rotor," Scientific Reports, vol. 14, no. 1, 2024.
[2]
N. Jansson et al., "Neko: A modern, portable, and scalable framework for high-fidelity computational fluid dynamics," Computers & Fluids, vol. 275, pp. 106243-106243, 2024.
[3]
M. Atzori et al., "In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst," Journal of Supercomputing, vol. 78, no. 3, pp. 3605-3620, 2022.
[4]
R. Bale et al., "Stencil Penalty approach based constraint immersed boundary method," Computers & Fluids, vol. 2000, pp. 104457, 2020.
[5]
N. Jansson et al., "CUBE: A scalable framework for large-scale industrial simulations," The international journal of high performance computing applications, vol. 33, no. 4, pp. 678-698, 2019.
[7]
R. Vilela de Abreu, N. Jansson and J. Hoffman, "Computation of aeroacoustic sources for a Gulfstream G550 nose landing gear model using adaptive FEM," Computers & Fluids, vol. 124, pp. 136-146, 2016.
[8]
J. Hoffman et al., "Towards a parameter-free method for high Reynolds number turbulent flow simulation based on adaptive finite element approximation," Computer Methods in Applied Mechanics and Engineering, vol. 288, pp. 60-74, 2015.
[9]
R. Vilela de Abreu, N. Jansson and J. Hoffman, "Adaptive Computation of Aeroacoustic Sources for a Rudimentary Landing Gear," International Journal for Numerical Methods in Fluids, vol. 74, no. 6, pp. 406-421, 2014.
[11]
N. Jansson, J. Hoffman and J. Jansson, "Framework For Massively Parallel Adaptive Finite Element Computational Fluid Dynamics On Tetrahedral Meshes," SIAM Journal on Scientific Computing, vol. 34, no. 1, pp. C24-C42, 2012.

Conference papers

[12]
N. Jansson et al., "Exploring the Ultimate Regime of Turbulent Rayleigh–Bénard Convection Through Unprecedented Spectral-Element Simulations," in SC '23: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2023, pp. 1-9.
[13]
S. W.D. Chien et al., "Improving Cloud Storage Network Bandwidth Utilization of Scientific Applications," in Proceedings of the 7th Asia-Pacific Workshop on Networking, APNET 2023, 2023, pp. 172-173.
[14]
Y. Ju et al., "In-Situ Techniques on GPU-Accelerated Data-Intensive Applications," in Proceedings 2023 IEEE 19th International Conference on e-Science, e-Science 2023, 2023.
[15]
M. Karp et al., "Uncertainty Quantification of Reduced-Precision Time Series in Turbulent Channel Flow," in Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023, 2023, pp. 387-390.
[16]
M. Karp et al., "A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges," in HPCAsia2022: International Conference on High Performance Computing in Asia-Pacific Region, 2022, pp. 125-136.
[17]
M. Karp et al., "Reducing Communication in the Conjugate Gradient Method : A Case Study on High-Order Finite Elements," in Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2022, 2022.
[18]
J. Vincent et al., "Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems," in HPCAsia2022 : International Conference on High Performance Computing in Asia-Pacific Region, 2022, pp. 94-102.
[19]
F. Liu et al., "Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs," in IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2021.
[20]
M. Svedin et al., "Benchmarking the Nvidia GPU Lineage : From Early K80 to Modern A100 with Asynchronous Memory Transfers," in ACM International Conference Proceeding Series, 2021.
[21]
M. Karp et al., "High-Perfomance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection," in Proceedings of the 35rd IEEE International Parallel & Distributed Processing Symposium, May 17-21, 2021 Portland, Oregon, USA, 2021.
[22]
T. Dykes et al., "Mamba: Portable Array-based Abstractions for Heterogeneous High-Performance Systems," in 2021 International Workshop on Performance, Portability and Productivity in HPC (P3HPC), 2021.
[23]
N. Jansson, "Spectral Element Simulations on the NEC SX-Aurora TSUBASA," in HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region, 2021.
[24]
J. H. Spühler et al., "A High Performance Computing Framework for Finite Element Simulation of Blood Flow in the Left Ventricle of the Human Heart," in Lecture Notes in Computational Science and Engineering, 2020, pp. 155-164.
[25]
N. Jansson, "A Hybrid MPI+PGAS Approach to Improve Strong Scalability Limits of Finite Element Solvers," in Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2020, pp. 303-313.
[26]
M. Karp et al., "Optimization of Tensor-product Operations in Nekbone on GPUs," in The International Conference for High Performance Computing, Networking, Storage, and Analysis, 2020, 2020.
[27]
N. Jansson, "Improving Strong Scalability Limits of Finite Element Based Solvers," in 48th International Conference on Parallel Processing, Aug. 2019, Kyoto, Japan, 2019.
[28]
N. Jansson and E. Laure, "Towards a Parallel Algebraic Multigrid Solver Using PGAS," in 2018 Workshop on High Performance Computing Asia, 2018, pp. 31-38.
[29]
K. Onishi et al., "A Deployment of HPC Algorithm into Pre/Post-Processing for Industrial CFD on K-Computer," in The International Conference for High Performance Computing, Networking, Storage, and Analysis, Denver, Colorado USA, Nov 2017 (SC’17)., 2017.
[30]
N. Jansson et al., "Dynamic Load Balancing for Large-Scale Multiphysics Simulations," in High-Performance Scientific Computing : Jülich Aachen Research Alliance (JARA) High-Performance Computing Symposium, 2017, pp. 13-23.
[31]
J. Hoffman et al., "FEniCS-HPC: Coupled Multiphysics in Computational Fluid Dynamics," in High-Performance Scientific Computing : Jülich Aachen Research Alliance (JARA) High-Performance Computing Symposium, 2017, pp. 58-69.
[32]
J. Hoffman, J. Jansson and N. Jansson, "FEniCS-HPC : Automated predictive high-performance finite element computing with applications in aerodynamics," in Proceedings of the 11th International Conference on Parallel Processing and Applied Mathematics, PPAM 2015, 2016, pp. 356-365.
[33]
J. Hoffman et al., "Computation of slat noise sources using adaptive FEM and lighthill's analogy," in 19th AIAA/CEAS Aeroacoustics Conference, 2013.
[34]
N. Jansson, "Optimizing Sparse Matrix Assembly in Finite Element Solvers with One-Sided Communication," in High Performance Computing for Computational Science - VECPAR 2012, 2013, pp. 128-139.
[35]
J. Hoffman and N. Jansson, "A computational study of turbulent flow separation for a circular cylinder using skin friction boundary conditions," in Quality And Reliability Of Large-Eddy Simulations II, 2011, pp. 57-68.
[36]
R. Abreu, N. Jansson and J. Hoffman, "Adaptive computation of aeroacoustic sources for a rudimentary landing gear using lighthill's analogy," in 17th AIAA/CEAS AeroacousticsConference 2011 : 32nd AIAA Aeroacoustics Conference, 2011.
[37]
N. Jansson, J. Hoffman and M. Nazarov, "Adaptive simulation of turbulent flow past a full car model," in State of the Practice Reports, SC'11, 2011.
[38]
R. Vilela de Abreu, N. Jansson and J. Hoffman, "Adaptive computation of aeroacoustic sources for a 4-wheel rudimentary landing gear benchmark problem," in Workshop on Bechmark Problems Airframe Noise Computation (BANC-I) Stockholm, 2010.

Chapters in books

[39]
J. Hoffman et al., "Computability and Adaptivity in CFD," in Encyclopedia of Computational Mechanics, Erwin Stein, René de Borst, Thomas J. R. Hughes Ed., : John Wiley & Sons, 2018.
[40]
J. Jansson et al., "Time-resolved Adaptive Direct FEM Simulation of High-lift Aircraft Configurations : Chapter in "Numerical Simulation of the Aerodynamics of High-Lift Configurations'", Springer," in Numerical Simulation of the Aerodynamics of High-Lift Configurations, Omar Darío López Mejia andJaime A. Escobar Gomez Ed., : Springer, 2018, pp. 67-92.
[41]
J. Hoffman et al., "Turbulent flow and Fluid–structure interaction," in Lecture Notes in Computational Science and Engineering, : Springer Science and Business Media Deutschland GmbH, 2012, pp. 543-552.
[42]
J. Hoffman et al., "Unicorn : A unified continuum mechanics solver," in Lecture Notes in Computational Science and Engineering, : Springer Science and Business Media Deutschland GmbH, 2012, pp. 339-361.
[43]
J. Hoffman et al., "Unicorn: a unified continuum mechanics solver; in automated solution pf differential equations by the finite element method," in Automated Solution of Differential Equations by the Finite Element Method, Anders Logg, Kent-Andre Mardal, Garth Wells Ed., : Springer Berlin/Heidelberg, 2012.
[44]
J. Hoffman et al., "Turbulent flow and fluid-structure interaction; in automated solution of differental equations by the finite element method," in Automated Solution of Differential Equations by the Finite Element Method, Anders Logg Kent-Andre Mardal, Garth Wells Ed., : Springer Berlin/Heidelberg, 2011.

Non-peer reviewed

Conference papers

[45]
J. Hoffman et al., "Time-resolved adaptive FEM simulation of the DLR-F11 aircraft model at high Reynolds number," in 52nd AIAA Aerospace Sciences Meeting - AIAA Science and Technology Forum and Exposition, SciTech 2014, 2014.
[46]
R. V. de Abreu, N. Jansson and J. Hoffman, "Adaptive Computation of Aeroacoustic Sources for Rudimentary Landing Gear," in Benchmark problems for Airframe Noise Computations I, Stockholm 2010, 2010.

Theses

[47]
N. Jansson, "High Performance Adaptive Finite Element Methods : With Applications in Aerodynamics," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-CSC-A, 2013:07, 2013.
[48]
N. Jansson, "High performance adaptive finite element methods for turbulent fluid flow," Licentiate thesis Stockholm : KTH Royal Institute of Technology, Trita-CSC-A, 2011:02, 2011.
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2024-06-16 02:09:01