20 citations · 85 across the 14 of their papers we have counts for
14 papers
Unifying Economic and Language Models for Enhanced Sentiment Analysis of the Oil Market
Himmet Kaplan, Ralf-Peter Mundani, Heiko Rölke +2
Crude oil, a critical component of the global economy, has its prices influenced by various factors such as economic trends, political events, and natural disasters. Traditional pr…
CrudeBERT: Applying Economic Theory towards fine-tuning Transformer-based Sentiment Analysis Models to the Crude Oil Market
Himmet Kaplan, Ralf-Peter Mundani, Heiko Rölke +1
Predicting market movements based on the sentiment of news media has a long tradition in data analysis. With advances in natural language processing, transformer architectures have…
Design and optimisation of an efficient HDF5 I/O kernel for massive parallel fluid flow simulations
Christoph Ertl, Jérôme Frisch, Ralf-Peter Mundani
More and more massive parallel codes running on several hundreds of thousands of cores enter the computational science and engineering domain, allowing high-fidelity computations o…
Parallelization of the multi-level hp-adaptive finite cell method
John N. Jomo, Nils Zander, Mohamed Elhaddad +4
The multi-level hp-refinement scheme is a powerful extension of the finite element method that allows local mesh adaptation without the trouble of constraining hanging nodes. This…
A review of the finite cell method for nonlinear structural analysis of complex CAD and image-based geometric models
Dominik Schillinger, Quanji Cai, Ralf-Peter Mundani +1
The finite cell method (FCM) belongs to the class of immersed boundary methods, and combines the fictitious domain approach with high-order approximation, adaptive integration and…
A high-performance interactive computing framework for engineering applications
Jovana Knežević, Ralf-Peter Mundani, Ernst Rank
To harness the potential of advanced computing technologies, efficient (real time) analysis of large amounts of data is as essential as are front-line simulations. In order to opti…
Numerical simulation of transport in porous media: some problems from micro to macro scale
Quanji Cai, Sheema Kooshapur, Michael Manhart +4
This paper deals with simulation of flow and transport in porous media such as transport of groundwater contaminants. We first discuss how macro scale equations are derived and whi…
Dynamic load balancing strategies for hierarchical p-FEM solvers
Ralf-Peter Mundani, Alexander Düster, Jovana Knežević +2
Equation systems resulting from a p-version FEM discretisation typically require a special treatment as iterative solvers are not very efficient here. Applying hierarchical concept…
Computational steering of complex flow simulations
Atanas Atanasov, Hans-Joachim Bungartz, Jérôme Frisch +4
Computational Steering, the combination of a simulation back-end with a visualisation front-end, offers great possibilities to exploit and optimise scenarios in engineering applica…
Framework for the hybrid parallelisation of simulation codes
Ralf-Peter Mundani, Marko Ljucović, Ernst Rank
Writing efficient hybrid parallel code is tedious, error-prone, and requires good knowledge of both parallel programming and multithreading such as MPI and OpenMP, resp. Therefore,…
Ensuring domain consistency in an adaptive framework with distributed topology for fluid flow simulations
Christoph Ertl, Ralf-Peter Mundani, Ernst Rank
Top-tier parallel computing clusters continue to accumulate more and more computational power with more and better CPUs and Networks. This allows, especially for environmental simu…
Interactive data exploration for high-performance fluid flow computations through porous media
Nevena Perović, Jérôme Frisch, Ralf-Peter Mundani +1
Huge data advent in high-performance computing (HPC) applications such as fluid flow simulations usually hinders the interactive processing and exploration of simulation results. S…
Measuring and comparing the scaling behaviour of a high-performance CFD code on different supercomputing infrastructures
Jérôme Frisch, Ralf-Peter Mundani
Parallel code design is a challenging task especially when addressing petascale systems for massive parallel processing (MPP), i.e. parallel computations on several hundreds of tho…
A sliding window technique for interactive high-performance computing scenarios
Ralf-Peter Mundani, Jérôme Frisch, Vasco Varduhn +1
Interactive high-performance computing is doubtlessly beneficial for many computational science and engineering applications whenever simulation results should be visually processe…