Exascale computing power will likely be reached in the next decade. While the precise system architectures are still evolving, one can safely assume that they will be largely based on deep hierarchies of multicore CPUs with similarly-deep memory hierarchies, potentially also supported by accelerators.
The challenge of designing and implementing applications running efficiently at large scale on exascale platforms involves developers of application, libraries, programming models and system software.

The aim of this conference is to bring together developers from different application fields to present the problems they face on the road to exascale, their approach to solve these challenges and to share their experience gained during the petascale period.

Topics of interest include but are not limited to:

- Design, implementation and optimization of applications for exascale, including:

Computational Fluid Dynamics
Weather Forecast
Neuroinformatics
Medical Applications
Bioinformatics
Material Science
Particle Physics
Quantum Mechanics
Geophysics
Fusion, Space and Astrophysical plasmas
Reactor Physics
Finance
Oil and Gas Source Identification
Molecular Dynamics
Montecarlo Methods
Spectral Methods
Linear and Non-linear Systems
Numerical Libraries
Mini-applications and Benchmarks
Data Analytics of Large Data-sets
Visualization

- Innovative algorithms for collective operations, for reducing communication/synchronization, for mixed precision calculations
- Porting and optimization of applications on systems with accelerators
- New concepts in MPI and PGAS communication libraries
- Innovative parallel programming models, run-time and auto-tuning systems
- Simulation of parallel applications on exascale machines
- Performance monitoring tools
- Debuggers and correctness checkers