218 citations
- Jan Długosz UniversityPL40 papers
- Hamburg University of TechnologyDE17 papers
- Saarland UniversityDE15 papers
- Universität HamburgDE13 papers
- Lviv Polytechnic National UniversityUA11 papers
- Institute of MathematicsPL6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Deutsches Elektronen-Synchrotron DESYDE5 papers
- Jiangsu Normal UniversityCN5 papers
- Military University of Technology in WarsawPL5 papers
- Barcelona Supercomputing CenterES4 papers
- Federal Institute For Materials Research and TestingDE4 papers
165 papers
Adaptation of AI-accelerated CFD Simulations to the IPU platform
P. Rosciszewski, A. Krzywaniak, S. Iserte +2
Intelligence Processing Units (IPU) have proven useful for many AI applications. In this paper, we evaluate them within the emerging field of \emph{AI for simulation}, where tradit…
A Study on the Performance of Distributed Training of Data-driven CFD Simulations
Sergio Iserte, Alejandro González-Barberá, Paloma Barreda +1
Data-driven methods for computer simulations are blooming in many scientific areas. The traditional approach to simulating physical behaviors relies on solving partial differential…
Towards the Democratization and Standardization of Dynamic Resources with MPI Spawning
Sergio Iserte, Iker Martín-Alvarez, Krzystof Rojek +3
This paper presents an efficient tool for managing dynamic resources in production high-performance computing (HPC) settings, focusing on flexibility, adaptability, and user-friend…
Theoretical prediction of strong-coupling superconductivity in a hypothetical NaAlH3 phase at ambient pressure
Izabela A. Wrona, Yinwei Li, Radoslaw Szczesniak +1
We present a comprehensive first-principles investigation of a hypothetical cubic Pm-3m phase of the ternary hydride NaAlH3, focusing on its lattice dynamics, electronic structure,…
Multivariate Forecasting of Bitcoin Volatility with Gradient Boosting: Deterministic, Probabilistic, and Feature Importance Perspectives
Grzegorz Dudek, Mateusz Kasprzyk, Paweł Pełka
This study investigates the application of the Light Gradient Boosting Machine (LGBM) model for both deterministic and probabilistic forecasting of Bitcoin realized volatility. Uti…
Resource Optimization with MPI Process Malleability for Dynamic Workloads in HPC Clusters
Sergio Iserte, Iker Martín-Álvarez, Krzysztof Rojek +4
Dynamic resource management is essential for optimizing computational efficiency in modern high-performance computing (HPC) environments, particularly as systems scale. While resea…