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ORCIDNiclas Jansson
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2020 – today
- 2024
[c20]Niclas Jansson, Martin Karp, Stefano Markidis, Philipp Schlatter:
Neko: A Modern, Portable, and Scalable Framework for Extreme-Scale Computational Fluid Dynamics. CLUSTER Workshops 2024: 156-157- [i13]Steven Wei Der Chien, Kento Sato, Artur Podobas, Niclas Jansson, Stefano Markidis, Michio Honda:
Accelerating Scientific Application through Transparent I/O Interposition. CoRR abs/2401.14576 (2024) - [i12]Martin Karp, Niclas Jansson, Philipp Schlatter, Stefano Markidis:
Supercomputers as a Continous Medium. CoRR abs/2405.05639 (2024) - [i11]Martin Karp, Estela Suarez, Jan H. Meinke, Måns I. Andersson
, Philipp Schlatter, Stefano Markidis, Niclas Jansson:
Experience and Analysis of Scalable High-Fidelity Computational Fluid Dynamics on Modular Supercomputing Architectures. CoRR abs/2405.05640 (2024) - [i10]Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure:
In-Situ Techniques on GPU-Accelerated Data-Intensive Applications. CoRR abs/2407.20731 (2024) - 2023
- [j4]Martin Karp, Daniele Massaro, Niclas Jansson, Alistair Hart, Jacob Wahlgren, Philipp Schlatter, Stefano Markidis:
Large-Scale direct numerical simulations of turbulence using GPUs and modern Fortran. Int. J. High Perform. Comput. Appl. 37(5): 487-502 (2023) - [c19]Steven Wei Der Chien, Kento Sato, Artur Podobas, Niclas Jansson, Stefano Markidis, Michio Honda:
Improving Cloud Storage Network Bandwidth Utilization of Scientific Applications. APNet 2023: 172-173 - [c18]Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure:
In-Situ Techniques on GPU-Accelerated Data-Intensive Applications. e-Science 2023: 1-10 - [c17]Niclas Jansson, Martin Karp, Adalberto Perez, Timofey Mukha, Yi Ju, Jiahui Liu, Szilárd Páll, Erwin Laure, Tino Weinkauf, Jörg Schumacher, Philipp Schlatter, Stefano Markidis:
Exploring the Ultimate Regime of Turbulent Rayleigh-Bénard Convection Through Unprecedented Spectral-Element Simulations. SC 2023: 5:1-5:9 - [c16]Martin Karp, Felix Liu, Ronith Stanly, Saleh Rezaeiravesh, Niclas Jansson, Philipp Schlatter, Stefano Markidis:
Uncertainty Quantification of Reduced-Precision Time Series in Turbulent Channel Flow. SC Workshops 2023: 387-390 - 2022
- [j3]Marco Atzori, Wiebke Köpp, Steven Wei Der Chien, Daniele Massaro, Fermín Mallor, Adam Peplinski, Mohamad Rezaei, Niclas Jansson, Stefano Markidis, Ricardo Vinuesa, Erwin Laure, Philipp Schlatter, Tino Weinkauf:
In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst. J. Supercomput. 78(3): 3605-3620 (2022) - [c15]Jonathan Vincent, Jing Gong, Martin Karp, Adam Peplinski, Niclas Jansson, Artur Podobas, Andreas Jocksch, Jie Yao, Fazle Hussain, Stefano Markidis, Matts Karlsson, Dirk Pleiter, Erwin Laure, Philipp Schlatter:
Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems. HPC Asia 2022: 94-102 - [c14]Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis:
A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges. HPC Asia 2022: 125-136 - [c13]Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis:
Reducing communication in the conjugate gradient method: a case study on high-order finite elements. PASC 2022: 2:1-2:11 - [i9]Martin Karp, Daniele Massaro, Niclas Jansson, Alistair Hart, Jacob Wahlgren, Philipp Schlatter, Stefano Markidis:
Large-Scale Direct Numerical Simulations of Turbulence Using GPUs and Modern Fortran. CoRR abs/2207.07098 (2022) - 2021
- [c12]Martin Svedin, Steven Wei Der Chien, Gibson Chikafa, Niclas Jansson, Artur Podobas:
Benchmarking the Nvidia GPU Lineage: From Early K80 to Modern A100 with Asynchronous Memory Transfers. HEART 2021: 9:1-9:6 - [c11]Niclas Jansson:
Spectral Element Simulations on the NEC SX-Aurora TSUBASA. HPC Asia 2021: 32-39 - [c10]Felix Liu, Niclas Jansson, Artur Podobas, Albin Fredriksson, Stefano Markidis:
Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs. IPDPS Workshops 2021: 449-458 - [c9]Martin Karp, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, Stefano Markidis:
High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection. IPDPS 2021: 1077-1086 - [c8]Tim Dykes, Clément Foyer, Harvey Richardson, Martin Svedin, Artur Podobas, Niclas Jansson, Stefano Markidis, Adrian Tate, Simon McIntosh-Smith:
Mamba: Portable Array-based Abstractions for Heterogeneous High-Performance Systems. P3HPC@SC 2021: 10-21 - [i8]Felix Liu, Niclas Jansson, Artur Podobas, Albin Fredriksson, Stefano Markidis:
Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs. CoRR abs/2103.09683 (2021) - [i7]Martin Svedin, Steven Wei Der Chien, Gibson Chikafa, Niclas Jansson, Artur Podobas:
Benchmarking the Nvidia GPU Lineage. CoRR abs/2106.04979 (2021) - [i6]Niclas Jansson, Martin Karp, Artur Podobas, Stefano Markidis, Philipp Schlatter:
Neko: A Modern, Portable, and Scalable Framework for High-Fidelity Computational Fluid Dynamics. CoRR abs/2107.01243 (2021) - [i5]Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis:
A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays. CoRR abs/2108.12188 (2021) - [i4]Jonathan Vincent, Jing Gong, Martin Karp, Adam Peplinski, Niclas Jansson, Artur Podobas, Andreas Jocksch, Jie Yao, Fazle Hussain, Stefano Markidis, Matts Karlsson, Dirk Pleiter, Erwin Laure, Philipp Schlatter:
Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems. CoRR abs/2109.03592 (2021) - 2020
- [c7]Niclas Jansson:
A Hybrid MPI+PGAS Approach to Improve Strong Scalability Limits of Finite Element Solvers. CLUSTER 2020: 303-313 - [i3]Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis:
Optimization of Tensor-product Operations in Nekbone on GPUs. CoRR abs/2005.13425 (2020) - [i2]Martin Karp, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, Stefano Markidis:
High-Performance Spectral Element Methods on Field-Programmable Gate Arrays. CoRR abs/2010.13463 (2020)
2010 – 2019
- 2019
- [j2]Niclas Jansson, Rahul Bale, Keiji Onishi, Makoto Tsubokura:
CUBE: A scalable framework for large-scale industrial simulations. Int. J. High Perform. Comput. Appl. 33(4) (2019) - 2018
- [c6]Niclas Jansson, Erwin Laure:
Towards a parallel algebraic multigrid solver using PGAS. HPC Asia Workshops 2018: 31-38 - [i1]Niclas Jansson, Rahul Bale, Keiji Onishi, Makoto Tsubokura:
CUBE: A scalable framework for large-scale industrial simulations. CoRR abs/1808.04099 (2018) - 2016
- [c5]Niclas Jansson, Rahul Bale, Keiji Onishi, Makoto Tsubokura:
Dynamic Load Balancing for Large-Scale Multiphysics Simulations. JHPCS 2016: 13-23 - [c4]Johan Hoffman, Johan Jansson, Niyazi Cem Degirmenci, Jeannette Hiromi Spühler, Rodrigo Vilela De Abreu, Niclas Jansson, Aurélien Larcher:
FEniCS-HPC: Coupled Multiphysics in Computational Fluid Dynamics. JHPCS 2016: 58-69 - 2015
- [c3]Johan Hoffman, Johan Jansson, Niclas Jansson:
FEniCS-HPC: Automated Predictive High-Performance Finite Element Computing with Applications in Aerodynamics. PPAM (1) 2015: 356-365 - 2013
- [b1]Niclas Jansson:
High Performance Adaptive Finite Element Methods : With Applications in Aerodynamics. Royal Institute of Technology, Stockholm, Sweden, 2013 - 2012
- [j1]Niclas Jansson, Johan Hoffman, Johan Jansson:
Framework for Massively Parallel Adaptive Finite Element Computational Fluid Dynamics on Tetrahedral Meshes. SIAM J. Sci. Comput. 34(1) (2012) - [c2]Niclas Jansson:
Optimizing Sparse Matrix Assembly in Finite Element Solvers with One-Sided Communication. VECPAR 2012: 128-139 - 2011
- [c1]Niclas Jansson, Johan Hoffman, Murtazo Nazarov:
Adaptive simulation of turbulent flow past a full car model. SC State of the Practice Reports 2011: 20:1-20:8
Coauthor Index
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