Alvaro Coutinho, COPPE/Federal University of Rio de Janeiro
William Barth, TACC, University of Texas at Austin
Guillaume Houzeaux, Barcelona Supercomputing Center
In the present days, since more and more powerful heterogeneous supercomputers are continuously emerging, scientists and engineers have been facing unprecedented challenges of adapting their scientific and engineering simulation codes to these massively parallel computers, aimed at solving problems involving complex physics and geometries more efficiently and accurately. This mini-symposium intends to provide a forum for attendees to exchange information, share best practices, and to keep current on the rapidly evolving information technologies impacting computational simulation, in particular, those extensively involved in the simulation process as well as in the design of a simulation code. The Mini Symposium topics cover (but are not limited to):
- High-performance computing towards extreme-scale
- Common functional interfaces to geometry, mesh, and other simulation data
- Computational environments for advanced scientific and engineering computation
- Digital prototyping techniques
- Enabling software technologies
- Data science and Machine Learning in computational mechanics applications
- Large-scale parallel computing techniques (including MPI, parallel and heterogeneous computing)
- Mesh generation and adaptive mesh refinement techniques
- Scientific visualization
- Software libraries and applications to multi-scale multi-physics problems
- Software techniques (such as middleware techniques) towards extreme-scale
- Supporting tools in performance evaluation, visualization, verification and validation
- Scientific workflows, theoretical frameworks, methodology and algorithms for Many-Query Computing
- Potential demands of large-scale computational applications
- Practices of large-scale numerical simulations
- Programming models for emerging architectures
