Niclas Jansson

According to our database, Niclas Jansson authored at least 33 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Experience and Analysis of Scalable High-Fidelity Computational Fluid Dynamics on Modular Supercomputing Architectures.

Martin Karp, Estela Suarez, Jan H. Meinke, Måns I. Andersson, Philipp Schlatter, Stefano Markidis, Niclas Jansson

CoRR, 2024

Supercomputers as a Continous Medium.

Martin Karp, Niclas Jansson, Philipp Schlatter, Stefano Markidis

CoRR, 2024

Accelerating Scientific Application through Transparent I/O Interposition.

Steven Wei Der Chien, Kento Sato, Artur Podobas, Niclas Jansson, Stefano Markidis, Michio Honda

CoRR, 2024

Neko: A Modern, Portable, and Scalable Framework for Extreme-Scale Computational Fluid Dynamics.

Niclas Jansson, Martin Karp, Stefano Markidis, Philipp Schlatter

Proceedings of the IEEE International Conference on Cluster Computing, 2024

2023

Large-Scale direct numerical simulations of turbulence using GPUs and modern Fortran.

Martin Karp, Daniele Massaro, Niclas Jansson, Alistair Hart, Jacob Wahlgren, Philipp Schlatter, Stefano Markidis

Int. J. High Perform. Comput. Appl., September, 2023

Uncertainty Quantification of Reduced-Precision Time Series in Turbulent Channel Flow.

Martin Karp, Felix Liu, Ronith Stanly, Saleh Rezaeiravesh, Niclas Jansson, Philipp Schlatter, Stefano Markidis

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Exploring the Ultimate Regime of Turbulent Rayleigh-Bénard Convection Through Unprecedented Spectral-Element Simulations.

Niclas Jansson, Martin Karp, Adalberto Perez, Timofey Mukha, Yi Ju, Jiahui Liu, Szilárd Páll, Erwin Laure, Tino Weinkauf, Jörg Schumacher, Philipp Schlatter, Stefano Markidis

Proceedings of the International Conference for High Performance Computing, 2023

In-Situ Techniques on GPU-Accelerated Data-Intensive Applications.

Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure

Proceedings of the 19th IEEE International Conference on e-Science, 2023

Improving Cloud Storage Network Bandwidth Utilization of Scientific Applications.

Steven Wei Der Chien, Kento Sato, Artur Podobas, Niclas Jansson, Stefano Markidis, Michio Honda

Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

2022

In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst.

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

J. Supercomput., 2022

Reducing communication in the conjugate gradient method: a case study on high-order finite elements.

Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis

Proceedings of the PASC '22: Platform for Advanced Scientific Computing Conference, Basel, Switzerland, June 27, 2022

Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems.

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

Proceedings of the HPC Asia 2022: International Conference on High Performance Computing in Asia-Pacific Region, Virtual Event, Japan, January 12, 2022

A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges.

Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis

Proceedings of the HPC Asia 2022: International Conference on High Performance Computing in Asia-Pacific Region, Virtual Event, Japan, January 12, 2022

2021

A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays.

Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis

CoRR, 2021

Neko: A Modern, Portable, and Scalable Framework for High-Fidelity Computational Fluid Dynamics.

Niclas Jansson, Martin Karp, Artur Podobas, Stefano Markidis, Philipp Schlatter

CoRR, 2021

Benchmarking the Nvidia GPU Lineage.

Martin Svedin, Steven Wei Der Chien, Gibson Chikafa, Niclas Jansson, Artur Podobas

CoRR, 2021

Mamba: Portable Array-based Abstractions for Heterogeneous High-Performance Systems.

Tim Dykes, Clément Foyer, Harvey Richardson, Martin Svedin, Artur Podobas, Niclas Jansson, Stefano Markidis, Adrian Tate, Simon McIntosh-Smith

Proceedings of the International Workshop on Performance, 2021

Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs.

Felix Liu, Niclas Jansson, Artur Podobas, Albin Fredriksson, Stefano Markidis

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection.

Martin Karp, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, Stefano Markidis

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Spectral Element Simulations on the NEC SX-Aurora TSUBASA.

Niclas Jansson

Proceedings of the HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region, 2021

Benchmarking the Nvidia GPU Lineage: From Early K80 to Modern A100 with Asynchronous Memory Transfers.

Martin Svedin, Steven Wei Der Chien, Gibson Chikafa, Niclas Jansson, Artur Podobas

Proceedings of the HEART '21: 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2021

2020

High-Performance Spectral Element Methods on Field-Programmable Gate Arrays.

Martin Karp, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, Stefano Markidis

CoRR, 2020

Optimization of Tensor-product Operations in Nekbone on GPUs.

Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis

CoRR, 2020

A Hybrid MPI+PGAS Approach to Improve Strong Scalability Limits of Finite Element Solvers.

Niclas Jansson

Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019

CUBE: A scalable framework for large-scale industrial simulations.

Niclas Jansson, Rahul Bale, Keiji Onishi, Makoto Tsubokura

Int. J. High Perform. Comput. Appl., 2019

2018

Towards a parallel algebraic multigrid solver using PGAS.

Niclas Jansson, Erwin Laure

Proceedings of the Proceedings of Workshops of HPC Asia 2018, 2018

2016

Dynamic Load Balancing for Large-Scale Multiphysics Simulations.

Niclas Jansson, Rahul Bale, Keiji Onishi, Makoto Tsubokura

Proceedings of the High-Performance Scientific Computing, 2016

FEniCS-HPC: Coupled Multiphysics in Computational Fluid Dynamics.

Johan Hoffman, Johan Jansson, Niyazi Cem Degirmenci, Jeannette Hiromi Spühler, Rodrigo Vilela De Abreu, Niclas Jansson, Aurélien Larcher

Proceedings of the High-Performance Scientific Computing, 2016

2015

FEniCS-HPC: Automated Predictive High-Performance Finite Element Computing with Applications in Aerodynamics.

Johan Hoffman, Johan Jansson, Niclas Jansson

Proceedings of the Parallel Processing and Applied Mathematics, 2015

2013

High Performance Adaptive Finite Element Methods : With Applications in Aerodynamics.

Niclas Jansson

PhD thesis, 2013

2012

Framework for Massively Parallel Adaptive Finite Element Computational Fluid Dynamics on Tetrahedral Meshes.

Niclas Jansson, Johan Hoffman, Johan Jansson

SIAM J. Sci. Comput., 2012

Optimizing Sparse Matrix Assembly in Finite Element Solvers with One-Sided Communication.

Niclas Jansson

Proceedings of the High Performance Computing for Computational Science, 2012

2011

Adaptive simulation of turbulent flow past a full car model.

Niclas Jansson, Johan Hoffman, Murtazo Nazarov

Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011