TIME-X: Time parallelization for eXascale computing
Grant Agreement number: 955701
BUW, ENPC, FZJ, KUL, SU, TUD, TUHH, TUM, UNIGE and USI
Belgium, France, Germany, Switzerland
Start: 1 Apr 2021
End: 31 Mar 2024
Recent successes have established the potential of parallel-in-time integration as a powerful algorithmic paradigm to unlock the performance of Exascale systems. However, these successes have mainly been achieved in a rather academic setting, without an overarching understanding. TIME-X will take the next leap in the development and deployment of this promising new approach for massively parallel HPC simulation, enabling efficient parallel-in-time integration for real-life applications. We will:
- Provide software for parallel-in-time integration on current and future Exascale HPC architectures, delivering substantial improvements in parallel scaling;
- Develop novel algorithmic concepts for parallel-in-time integration, deepening our mathematical understanding of their convergence behaviour and including advances in multi-scale methodology;
- Demonstrate the impact of parallel-in-time integration, showcasing the potential on problems that, to date, cannot be tackled with full parallel efficiency in three diverse and challenging application fields with high societal impact: weather and climate, medicine and fusion.
To realize these ambitious, yet achievable goals, the inherently inter-disciplinary TIME-X Consortium unites top researchers from numerical analysis and applied mathematics, computer science and the selected application domains. Europe is leading research in parallel-in-time integration. TIME-X unites all relevant actors at the European level for the first time in a joint strategic research effort. The project will enable taking the necessary next step: advancing parallel-in-time integration from an academic/mathematical methodology into a widely available technology with a convincing proof of concept, maintaining European leadership in this rapidly advancing field and paving the way for industrial adoption.
Educational Website for first performance analysis of PinT algorithmsRead more…: Educational Website for first performance analysis of PinT algorithms
PinT 2023: 12th Workshop on Parallel-in-time IntegrationRead more…: PinT 2023: 12th Workshop on Parallel-in-time Integration
CERN investigates PinT for superconducting magnet simulationRead more…: CERN investigates PinT for superconducting magnet simulation
Combining Parareal and Machine LearningRead more…: Combining Parareal and Machine Learning
Multigrid preconditioners for linear FDEsRead more…: Multigrid preconditioners for linear FDEs
PinT multirate explicit stabilised method for cardiac electrophysiologyRead more…: PinT multirate explicit stabilised method for cardiac electrophysiology
PinT for Molecular DynamicsRead more…: PinT for Molecular Dynamics
Micro-macro Parareal for DAEsRead more…: Micro-macro Parareal for DAEs
Convergence framework for PinT algorithmsRead more…: Convergence framework for PinT algorithms
Recovery strategies for PinT algorithmsRead more…: Recovery strategies for PinT algorithms
Design of extensions to MPI standardRead more…: Design of extensions to MPI standard
The TIME-X project is funded by Horizon 2020 EuroHPC, which is the European High Performance Computing Joint Undertaking (EuroHPC JU). EuroHPC is a joint initiative between the European Union, participating European member states and private partners to develop a World Class Supercomputing Ecosystem in Europe.
Since the EuroHPC Joint Undertaking is jointly funded by its public members, we are also grateful to the following national funding bodies for co-financing the Time-X project: