Conference Information

EASC 2016: Exascale Applications and Software Conference

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Submission Date:
2016-03-21
Notification Date:
2016-04-04
Conference Date:
2016-04-26
Location:
Stockholm, Sweden
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Call For Papers

EASC 2016 (Exascale Applications and Software Conference) is an academic conference held in Stockholm, Sweden on 2016-04-26. The paper submission deadline is 2016-03-21. Acceptance notifications are sent on 2016-04-04.

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
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