Niclas Jansson

48 papers A 2B 1C 4Journal 25Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	A Matrix-Free Algebraic hp-Multigrid Method for Computational Fluid Dynamics Applications. SCA/HPC Asia Peter Ohm, Graham Harper, Niclas Jansson
2026	J	`jnl`	Effects of lower floating-point precision on scale-resolving numerical simulations of turbulence. J. Comput. Phys. Martin Karp, Ronith Stanly, Timofey Mukha, Luca Galimberti, Siavash Toosi, Hang Song, Lisandro Dalcín, Saleh Rezaeiravesh, Niclas Jansson, Stefano Markidis, Matteo Parsani, Sanjeeb Bose, Sanjiva K. Lele, Philipp Schlatter
2026	J	`jnl`	Enabling mixed-precision in spectral element codes. Future Gener. Comput. Syst. Yanxiang Chen, Pablo de Oliveira Castro, Paolo Bientinesi, Niclas Jansson, Roman Iakymchuk
2026	—	`conf`	Task-decomposed Overlapped Preconditioner for Sustained Strong Scalability on Accelerated Exascale Systems. SCA/HPC Asia Niclas Jansson, Martin Karp, Szilárd Páll, Stefano Markidis, Philipp Schlatter
2025	J	`jnl`	Design of Neko - A Scalable High-Fidelity Simulation Framework With Extensive Accelerator Support. Concurr. Comput. Pract. Exp. Niclas Jansson, Martin Karp, Jacob Wahlgren, Stefano Markidis, Philipp Schlatter
2025	J	`jnl`	Direct numerical simulation of a starting rotor at Re J. Vis. Ronith Stanly, Eman Bagheri, Adam Peplinski, Siavash Toosi, Niclas Jansson, Timofey Mukha, Philipp Schlatter
2025	J	`jnl`	Enabling Mixed-Precision in Computational Fluids Dynamics Codes. CoRR Yanxiang Chen, Pablo de Oliveira Castro, Paolo Bientinesi, Niclas Jansson, Roman Iakymchuk
2025	J	`jnl`	Experience and analysis of scalable high-fidelity computational fluid dynamics on modular supercomputing architectures. Int. J. High Perform. Comput. Appl. Martin Karp, Estela Suarez, Jan H. Meinke, Måns I. Andersson, Philipp Schlatter, Stefano Markidis, Niclas Jansson
2025	J	`jnl`	Portable High-Performance Kernel Generation for a Computational Fluid Dynamics Code with DaCe. CoRR Måns I. Andersson, Martin Karp, Niclas Jansson, Stefano Markidis
2025	J	`jnl`	Robustness and uncertainty of direct numerical simulation under the influence of rounding and noise. CoRR Martin Karp, Niclas Jansson, Saleh Rezaeiravesh, Stefano Markidis, Philipp Schlatter
2024	J	`jnl`	Accelerating Scientific Application through Transparent I/O Interposition. CoRR Steven Wei Der Chien, Kento Sato, Artur Podobas, Niclas Jansson, Stefano Markidis, Michio Honda
2024	J	`jnl`	Experience and Analysis of Scalable High-Fidelity Computational Fluid Dynamics on Modular Supercomputing Architectures. CoRR Martin Karp, Estela Suarez, Jan H. Meinke, Måns I. Andersson, Philipp Schlatter, Stefano Markidis, Niclas Jansson
2024	J	`jnl`	In-Situ Techniques on GPU-Accelerated Data-Intensive Applications. CoRR Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure
2024	—	`conf`	Neko: A Modern, Portable, and Scalable Framework for Extreme-Scale Computational Fluid Dynamics. CLUSTER Workshops Niclas Jansson, Martin Karp, Stefano Markidis, Philipp Schlatter
2024	J	`jnl`	Supercomputers as a Continous Medium. CoRR Martin Karp, Niclas Jansson, Philipp Schlatter, Stefano Markidis
2023	A	`conf`	Exploring the Ultimate Regime of Turbulent Rayleigh-Bénard Convection Through Unprecedented Spectral-Element Simulations. SC Niclas Jansson, Martin Karp, Adalberto Perez, Timofey Mukha, Yi Ju, Jiahui Liu, Szilárd Páll, Erwin Laure, Tino Weinkauf, Jörg Schumacher, Philipp Schlatter, Stefano Markidis
2023	—	`conf`	Improving Cloud Storage Network Bandwidth Utilization of Scientific Applications. APNet Steven Wei Der Chien, Kento Sato, Artur Podobas, Niclas Jansson, Stefano Markidis, Michio Honda
2023	B	`conf`	In-Situ Techniques on GPU-Accelerated Data-Intensive Applications. e-Science Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure
2023	J	`jnl`	Large-Scale direct numerical simulations of turbulence using GPUs and modern Fortran. Int. J. High Perform. Comput. Appl. Martin Karp, Daniele Massaro, Niclas Jansson, Alistair Hart, Jacob Wahlgren, Philipp Schlatter, Stefano Markidis
2023	—	`conf`	Uncertainty Quantification of Reduced-Precision Time Series in Turbulent Channel Flow. SC Workshops Martin Karp, Felix Liu, Ronith Stanly, Saleh Rezaeiravesh, Niclas Jansson, Philipp Schlatter, Stefano Markidis
2022	C	`conf`	A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges. HPC Asia Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis
2022	J	`jnl`	In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst. J. Supercomput. 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
2022	J	`jnl`	Large-Scale Direct Numerical Simulations of Turbulence Using GPUs and Modern Fortran. CoRR Martin Karp, Daniele Massaro, Niclas Jansson, Alistair Hart, Jacob Wahlgren, Philipp Schlatter, Stefano Markidis
2022	—	`conf`	Reducing communication in the conjugate gradient method: a case study on high-order finite elements. PASC Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis
2022	C	`conf`	Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems. HPC Asia 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
2021	J	`jnl`	A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays. CoRR Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis
2021	—	`conf`	Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs. IPDPS Workshops Felix Liu, Niclas Jansson, Artur Podobas, Albin Fredriksson, Stefano Markidis
2021	J	`jnl`	Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs. CoRR Felix Liu, Niclas Jansson, Artur Podobas, Albin Fredriksson, Stefano Markidis
2021	J	`jnl`	Benchmarking the Nvidia GPU Lineage. CoRR Martin Svedin, Steven Wei Der Chien, Gibson Chikafa, Niclas Jansson, Artur Podobas
2021	—	`conf`	Benchmarking the Nvidia GPU Lineage: From Early K80 to Modern A100 with Asynchronous Memory Transfers. HEART Martin Svedin, Steven Wei Der Chien, Gibson Chikafa, Niclas Jansson, Artur Podobas
2021	A	`conf`	High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection. IPDPS Martin Karp, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, Stefano Markidis
2021	—	`conf`	Mamba: Portable Array-based Abstractions for Heterogeneous High-Performance Systems. P3HPC@SC Tim Dykes, Clément Foyer, Harvey Richardson, Martin Svedin, Artur Podobas, Niclas Jansson, Stefano Markidis, Adrian Tate, Simon McIntosh-Smith
2021	J	`jnl`	Neko: A Modern, Portable, and Scalable Framework for High-Fidelity Computational Fluid Dynamics. CoRR Niclas Jansson, Martin Karp, Artur Podobas, Stefano Markidis, Philipp Schlatter
2021	C	`conf`	Spectral Element Simulations on the NEC SX-Aurora TSUBASA. HPC Asia Niclas Jansson
2021	J	`jnl`	Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems. CoRR 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
2020	C	`conf`	A Hybrid MPI+PGAS Approach to Improve Strong Scalability Limits of Finite Element Solvers. CLUSTER Niclas Jansson
2020	J	`jnl`	High-Performance Spectral Element Methods on Field-Programmable Gate Arrays. CoRR Martin Karp, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, Stefano Markidis
2020	J	`jnl`	Optimization of Tensor-product Operations in Nekbone on GPUs. CoRR Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis
2019	J	`jnl`	CUBE: A scalable framework for large-scale industrial simulations. Int. J. High Perform. Comput. Appl. Niclas Jansson, Rahul Bale, Keiji Onishi, Makoto Tsubokura
2018	J	`jnl`	CUBE: A scalable framework for large-scale industrial simulations. CoRR Niclas Jansson, Rahul Bale, Keiji Onishi, Makoto Tsubokura
2018	—	`conf`	Towards a parallel algebraic multigrid solver using PGAS. HPC Asia Workshops Niclas Jansson, Erwin Laure
2016	—	`conf`	Dynamic Load Balancing for Large-Scale Multiphysics Simulations. JHPCS Niclas Jansson, Rahul Bale, Keiji Onishi, Makoto Tsubokura
2016	—	`conf`	FEniCS-HPC: Coupled Multiphysics in Computational Fluid Dynamics. JHPCS Johan Hoffman, Johan Jansson, Niyazi Cem Degirmenci, Jeannette Hiromi Spühler, Rodrigo Vilela De Abreu, Niclas Jansson, Aurélien Larcher
2015	—	`conf`	FEniCS-HPC: Automated Predictive High-Performance Finite Element Computing with Applications in Aerodynamics. PPAM (1) Johan Hoffman, Johan Jansson, Niclas Jansson
2013	—	`—`	High Performance Adaptive Finite Element Methods : With Applications in Aerodynamics. Niclas Jansson
2012	J	`jnl`	Framework for Massively Parallel Adaptive Finite Element Computational Fluid Dynamics on Tetrahedral Meshes. SIAM J. Sci. Comput. Niclas Jansson, Johan Hoffman, Johan Jansson
2012	—	`conf`	Optimizing Sparse Matrix Assembly in Finite Element Solvers with One-Sided Communication. VECPAR Niclas Jansson
2011	—	`conf`	Adaptive simulation of turbulent flow past a full car model. SC State of the Practice Reports Niclas Jansson, Johan Hoffman, Murtazo Nazarov