1504 Enabling Technologies and Simulation Practices for Advanced Scientific and Engineering Computation
Alvaro Coutinho, Federal University of Rio de Janeiro
William Barth, University of Texas at Austin
Guillaume Houzeaux, Barcelona Supercomputing Center
In the present days, since more and more powerful 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 MS topics cover (but are not limited to):
Common functional interfaces to geometry, mesh, and other simulation data
Computational environments for advanced scientific and engineering computation
Digital prototyping techniques
Enabling software technologies
High-performance computing towards extreme-scale
Large-scale parallel computing techniques (including MPI, parallel and heterogeneous computing)
Mesh generation 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 Uncertainty Quantification
Potential demands of large-scale computational applications
Practices of large-scale numerical simulations
Programming models for multi-core and accelerators
Common functional interfaces to geometry, mesh, and other simulation data
Computational environments for advanced scientific and engineering computation
Digital prototyping techniques
Enabling software technologies
High-performance computing towards extreme-scale
Large-scale parallel computing techniques (including MPI, parallel and heterogeneous computing)
Mesh generation 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 Uncertainty Quantification
Potential demands of large-scale computational applications
Practices of large-scale numerical simulations
Programming models for multi-core and accelerators
