Publikationer av Niclas Jansson
Refereegranskade
Artiklar
[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, s. 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, s. 3605-3620, 2022.
[4]
R. Bale et al., "Stencil Penalty approach based constraint immersed boundary method," Computers & Fluids, vol. 2000, s. 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, s. 678-698, 2019.
[6]
J. H. Spühler et al., "3D Fluid-Structure Interaction Simulation of Aortic Valves Using a Unified Continuum ALE FEM Model," Frontiers in Physiology, vol. 9, 2018.
[7]
R. Vilela de Abreu, N. Jansson och J. Hoffman, "Computation of aeroacoustic sources for a Gulfstream G550 nose landing gear model using adaptive FEM," Computers & Fluids, vol. 124, s. 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, s. 60-74, 2015.
[9]
R. Vilela de Abreu, N. Jansson och J. Hoffman, "Adaptive Computation of Aeroacoustic Sources for a Rudimentary Landing Gear," International Journal for Numerical Methods in Fluids, vol. 74, no. 6, s. 406-421, 2014.
[10]
J. Hoffman et al., "Unicorn : Parallel adaptive finite element simulation of turbulent flow and fluid-structure interaction for deforming domains and complex geometry," Computers & Fluids, vol. 80, no. SI, s. 310-319, 2013.
[11]
N. Jansson, J. Hoffman och J. Jansson, "Framework For Massively Parallel Adaptive Finite Element Computational Fluid Dynamics On Tetrahedral Meshes," SIAM Journal on Scientific Computing, vol. 34, no. 1, s. C24-C42, 2012.
Konferensbidrag
[12]
N. Jansson et al., "Exploring the Ultimate Regime of Turbulent Rayleigh–Bénard Convection Through Unprecedented Spectral-Element Simulations," i SC '23: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2023, s. 1-9.
[13]
S. W.D. Chien et al., "Improving Cloud Storage Network Bandwidth Utilization of Scientific Applications," i Proceedings of the 7th Asia-Pacific Workshop on Networking, APNET 2023, 2023, s. 172-173.
[14]
Y. Ju et al., "In-Situ Techniques on GPU-Accelerated Data-Intensive Applications," i 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," i Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023, 2023, s. 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," i HPCAsia2022: International Conference on High Performance Computing in Asia-Pacific Region, 2022, s. 125-136.
[17]
M. Karp et al., "Reducing Communication in the Conjugate Gradient Method : A Case Study on High-Order Finite Elements," i 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," i HPCAsia2022 : International Conference on High Performance Computing in Asia-Pacific Region, 2022, s. 94-102.
[19]
F. Liu et al., "Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs," i 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," i 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," i 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," i 2021 International Workshop on Performance, Portability and Productivity in HPC (P3HPC), 2021.
[23]
N. Jansson, "Spectral Element Simulations on the NEC SX-Aurora TSUBASA," i 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," i Lecture Notes in Computational Science and Engineering, 2020, s. 155-164.
[25]
N. Jansson, "A Hybrid MPI+PGAS Approach to Improve Strong Scalability Limits of Finite Element Solvers," i Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2020, s. 303-313.
[26]
M. Karp et al., "Optimization of Tensor-product Operations in Nekbone on GPUs," i 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," i 48th International Conference on Parallel Processing, Aug. 2019, Kyoto, Japan, 2019.
[28]
N. Jansson och E. Laure, "Towards a Parallel Algebraic Multigrid Solver Using PGAS," i 2018 Workshop on High Performance Computing Asia, 2018, s. 31-38.
[29]
K. Onishi et al., "A Deployment of HPC Algorithm into Pre/Post-Processing for Industrial CFD on K-Computer," i 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," i High-Performance Scientific Computing : Jülich Aachen Research Alliance (JARA) High-Performance Computing Symposium, 2017, s. 13-23.
[31]
J. Hoffman et al., "FEniCS-HPC: Coupled Multiphysics in Computational Fluid Dynamics," i High-Performance Scientific Computing : Jülich Aachen Research Alliance (JARA) High-Performance Computing Symposium, 2017, s. 58-69.
[32]
J. Hoffman, J. Jansson och N. Jansson, "FEniCS-HPC : Automated predictive high-performance finite element computing with applications in aerodynamics," i Proceedings of the 11th International Conference on Parallel Processing and Applied Mathematics, PPAM 2015, 2016, s. 356-365.
[33]
J. Hoffman et al., "Computation of slat noise sources using adaptive FEM and lighthill's analogy," i 19th AIAA/CEAS Aeroacoustics Conference, 2013.
[34]
N. Jansson, "Optimizing Sparse Matrix Assembly in Finite Element Solvers with One-Sided Communication," i High Performance Computing for Computational Science - VECPAR 2012, 2013, s. 128-139.
[35]
J. Hoffman och N. Jansson, "A computational study of turbulent flow separation for a circular cylinder using skin friction boundary conditions," i Quality And Reliability Of Large-Eddy Simulations II, 2011, s. 57-68.
[36]
R. Abreu, N. Jansson och J. Hoffman, "Adaptive computation of aeroacoustic sources for a rudimentary landing gear using lighthill's analogy," i 17th AIAA/CEAS AeroacousticsConference 2011 : 32nd AIAA Aeroacoustics Conference, 2011.
[37]
N. Jansson, J. Hoffman och M. Nazarov, "Adaptive simulation of turbulent flow past a full car model," i State of the Practice Reports, SC'11, 2011.
[38]
R. Vilela de Abreu, N. Jansson och J. Hoffman, "Adaptive computation of aeroacoustic sources for a 4-wheel rudimentary landing gear benchmark problem," i Workshop on Bechmark Problems Airframe Noise Computation (BANC-I) Stockholm, 2010.
Kapitel i böcker
[39]
J. Hoffman et al., "Computability and Adaptivity in CFD," i Encyclopedia of Computational Mechanics, Erwin Stein, René de Borst, Thomas J. R. Hughes red., : 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," i Numerical Simulation of the Aerodynamics of High-Lift Configurations, Omar Darío López Mejia andJaime A. Escobar Gomez red., : Springer, 2018, s. 67-92.
[41]
J. Hoffman et al., "Turbulent flow and Fluid–structure interaction," i Lecture Notes in Computational Science and Engineering, : Springer Science and Business Media Deutschland GmbH, 2012, s. 543-552.
[42]
J. Hoffman et al., "Unicorn : A unified continuum mechanics solver," i Lecture Notes in Computational Science and Engineering, : Springer Science and Business Media Deutschland GmbH, 2012, s. 339-361.
[43]
J. Hoffman et al., "Unicorn: a unified continuum mechanics solver; in automated solution pf differential equations by the finite element method," i Automated Solution of Differential Equations by the Finite Element Method, Anders Logg, Kent-Andre Mardal, Garth Wells red., : 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," i Automated Solution of Differential Equations by the Finite Element Method, Anders Logg Kent-Andre Mardal, Garth Wells red., : Springer Berlin/Heidelberg, 2011.
Icke refereegranskade
Konferensbidrag
[45]
J. Hoffman et al., "Time-resolved adaptive FEM simulation of the DLR-F11 aircraft model at high Reynolds number," i 52nd AIAA Aerospace Sciences Meeting - AIAA Science and Technology Forum and Exposition, SciTech 2014, 2014.
[46]
R. V. de Abreu, N. Jansson och J. Hoffman, "Adaptive Computation of Aeroacoustic Sources for Rudimentary Landing Gear," i Benchmark problems for Airframe Noise Computations I, Stockholm 2010, 2010.
Avhandlingar
[47]
N. Jansson, "High Performance Adaptive Finite Element Methods : With Applications in Aerodynamics," Doktorsavhandling 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," Licentiatavhandling Stockholm : KTH Royal Institute of Technology, Trita-CSC-A, 2011:02, 2011.
Rapporter
[49]
M. Atzori et al., "In-situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst," , 2021.
Övriga
[50]
M. Karp et al., "Appendix to High-Performance Spectral Element Methods on Field-Programmable Gate Arrays," , 2020.
[51]
N. Jansson et al., "Design of Neko - A Scalable High-Fidelity Simulation Framework with Extensive Accelerator Support," (Manuskript).
[52]
Senaste synkning med DiVA:
2024-05-01 01:03:53