TIME-X: Time parallelization for eXascale computing
Grant Agreement number: 955701
10 partners
BUW, ENPC, FZJ, KUL, SU, TUD, TUHH, TUM, UNIGE and USI
4 countries
Belgium, France, Germany, Switzerland
3 years
Start: 1 Apr 2021
End: 31 Mar 2024
Project summary
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.
Recent achievements
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Educational Website for first performance analysis of PinT algorithms
Read more…: Educational Website for first performance analysis of PinT algorithms -
PinT 2023: 12th Workshop on Parallel-in-time Integration
Read more…: PinT 2023: 12th Workshop on Parallel-in-time Integration -
CERN investigates PinT for superconducting magnet simulation
Read more…: CERN investigates PinT for superconducting magnet simulation -
Combining Parareal and Machine Learning
Read more…: Combining Parareal and Machine Learning -
Multigrid preconditioners for linear FDEs
Read more…: Multigrid preconditioners for linear FDEs -
PinT multirate explicit stabilised method for cardiac electrophysiology
Read more…: PinT multirate explicit stabilised method for cardiac electrophysiology -
PinT for Molecular Dynamics
Read more…: PinT for Molecular Dynamics -
Micro-macro Parareal for DAEs
Read more…: Micro-macro Parareal for DAEs -
Convergence framework for PinT algorithms
Read more…: Convergence framework for PinT algorithms -
Recovery strategies for PinT algorithms
Read more…: Recovery strategies for PinT algorithms -
Design of extensions to MPI standard
Read more…: Design of extensions to MPI standard
Partners

Funding

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:
