Presenter

Philipp Schlatter
KTH Royal Institute of Technology
Swedish e-Science Research Centre
Presentations
Paper
Reducing Communication in the Conjugate Gradient Method: A Case Study on High-Order Finite Elements
Climate, Weather and Earth Sciences
Minisymposium
Reducing IO Overhead with Compression and In-Situ Techniques
Computer Science and Applied Mathematics
Engineering
Minisymposium
Neko - Using Modern Fortran to Enable Next Generation Incompressible Flow Simulations on Heterogenous Hardware
Computer Science and Applied Mathematics
Engineering
Minisymposium
A Framework for In-Situ Estimation of Time-Averaging Uncertainties in Turbulent Flow Simulations
Computer Science and Applied Mathematics
Engineering
Poster
P37 - Preparing a High-Order Incompressible Flow Solver for Next Generation Supercomputers
Chair of Sessions
Minisymposium
MS1D - Interdisciplinary Challenges towards Exascale Fluid Dynamics
Computer Science and Applied Mathematics
Engineering