Adaptive simulation of turbulent flow past a full car model. - Niclas Jansson; Johan Hoffman; Murtazo Nazarov (SC State of the Practice Reports, 2011)

Optimizing Sparse Matrix Assembly in Finite Element Solvers with One-Sided Communication. - Niclas Jansson (VECPAR, 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)

High Performance Adaptive Finite Element Methods : With Applications in Aerodynamics. - Niclas Jansson (2013)

FEniCS-HPC: Automated Predictive High-Performance Finite Element Computing with Applications in Aerodynamics. - Johan Hoffman; Johan Jansson; Niclas Jansson (PPAM (1), 2015)

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 (JHPCS, 2016)

Dynamic Load Balancing for Large-Scale Multiphysics Simulations. - Niclas Jansson; Rahul Bale; Keiji Onishi; Makoto Tsubokura (JHPCS, 2016)

Towards a parallel algebraic multigrid solver using PGAS. - Niclas Jansson; Erwin Laure (HPC Asia Workshops, 2018)

CUBE: A scalable framework for large-scale industrial simulations. - Niclas Jansson; Rahul Bale; Keiji Onishi; Makoto Tsubokura (Int. J. High Perform. Comput. Appl., 2019)

A Hybrid MPI+PGAS Approach to Improve Strong Scalability Limits of Finite Element Solvers. - Niclas Jansson (CLUSTER, 2020)

Optimization of Tensor-product Operations in Nekbone on GPUs. - Martin Karp; Niclas Jansson; Artur Podobas; Philipp Schlatter; Stefano Markidis (CoRR, 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)

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 (HEART, 2021)

Spectral Element Simulations on the NEC SX-Aurora TSUBASA. - Niclas Jansson (HPC Asia, 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 (IPDPS, 2021)

Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs. - Felix Liu; Niclas Jansson; Artur Podobas; Albin Fredriksson; Stefano Markidis (IPDPS Workshops, 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 (P3HPC@SC, 2021)

Benchmarking the Nvidia GPU Lineage. - Martin Svedin; Steven Wei Der Chien; Gibson Chikafa; Niclas Jansson; Artur Podobas (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)

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)

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 (HPC Asia, 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; et al. (HPC Asia, 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 (PASC, 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; et al. (J. Supercomput., 2022)

Improving Cloud Storage Network Bandwidth Utilization of Scientific Applications. - Steven Wei Der Chien; Kento Sato; Artur Podobas; Niclas Jansson; Stefano Markidis; Michio Honda (APNet, 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 (e-Science, 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 006; Szilárd Páll; Erwin Laure; Tino Weinkauf; Jörg Schumacher; Philipp Schlatter; Stefano Markidis (SC, 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 (SC Workshops, 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., 2023)

Neko: A Modern, Portable, and Scalable Framework for Extreme-Scale Computational Fluid Dynamics. - Niclas Jansson; Martin Karp; Stefano Markidis; Philipp Schlatter (CLUSTER Workshops, 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)

Supercomputers as a Continous Medium. - Martin Karp; Niclas Jansson; Philipp Schlatter; Stefano Markidis (CoRR, 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 (Int. J. High Perform. Comput. Appl., 2025)

Design of Neko - A Scalable High-Fidelity Simulation Framework With Extensive Accelerator Support. - Niclas Jansson; Martin Karp; Jacob Wahlgren; Stefano Markidis; Philipp Schlatter (Concurr. Comput. Pract. Exp., 2025)

Enabling Mixed-Precision in Computational Fluids Dynamics Codes. - Yanxiang Chen; Pablo de Oliveira Castro; Paolo Bientinesi; Niclas Jansson; Roman Iakymchuk (CoRR, 2025)

Robustness and uncertainty of direct numerical simulation under the influence of rounding and noise. - Martin Karp; Niclas Jansson; Saleh Rezaeiravesh; Stefano Markidis; Philipp Schlatter (CoRR, 2025)

Portable High-Performance Kernel Generation for a Computational Fluid Dynamics Code with DaCe. - Måns I. Andersson; Martin Karp; Niclas Jansson; Stefano Markidis (CoRR, 2025)

Enabling mixed-precision in spectral element codes. - Yanxiang Chen; Pablo de Oliveira Castro; Paolo Bientinesi; Niclas Jansson; Roman Iakymchuk (Future Gener. Comput. Syst., 2026)