Jonah Ekelund

According to our database, Jonah Ekelund authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

Multi-GPU Hybrid Particle-in-Cell Monte Carlo Simulations for Exascale Computing Systems.

Jeremy J. Williams, Jordy Trilaksono, Stefan Costea, Yi Ju, Luca Pennati, Jonah Ekelund, David Tskhakaya, Leon Kos, Ales Podolnik, Jakub Hromadka, Allen D. Malony, Sameer Shende, Tilman Dannert, Frank Jenko, Erwin Laure, Stefano Markidis

CoRR, March, 2026

Disturbance storm time index prediction with interpretable machine learning.

Luca Pennati, Jonah Ekelund, Andong Hu, Ivy Peng, Stefano Markidis

J. Comput. Sci., 2026

Time-invariant properties and principal components of in-situ measurements used for outlier detection in space missions.

Jonah Ekelund, Savvas Raptis, Vicki Toy-Edens, Wenli Mo, Drew L. Turner, Ian J. Cohen, Stefano Markidis

J. Comput. Sci., 2026

2025

Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs.

Jonah Ekelund, Stefano Markidis, Ivy Peng

Proceedings of the 33rd Euromicro International Conference on Parallel, 2025

Evaluating Four FPGA-Accelerated Space Use Cases Based on Neural Network Algorithms for On-Board Inference.

Pedro Antunes, Muhammad Ihsan Al Hafiz, Jonah Ekelund, Ekaterina Dineva, George Miloshevich, Panagiotis Gonidakis, Artur Podobas

Proceedings of the 18th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2025

Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression.

Stefano Markidis, Jonah Ekelund, Luca Pennati, Andong Hu, Ivy Peng

Proceedings of the Computational Science - ICCS 2025, 2025

Adaptive PCA-Based Outlier Detection for Multi-feature Time Series in Space Missions.

Jonah Ekelund, Savvas Raptis, Vicki Toy-Edens, Wenli Mo, Drew L. Turner, Ian J. Cohen, Stefano Markidis

Proceedings of the Computational Science - ICCS 2025, 2025

2024

AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload.

Jonah Ekelund, Ricardo Vinuesa, Yuri V. Khotyaintsev, Pierre Henri, Gian Luca Delzanno, Stefano Markidis

Proceedings of the 20th IEEE International Conference on e-Science, 2024