The need for advanced modeling and simulation and their application in fields ranging from basic science to public policy is growing. One key enabling technology in this process is the numerical solution of partial differential equations. The combined complexity of the systems to be simulated, the numerical methods applied and the parallel hardware employed have led to the development of well-tested PDE software frameworks. Lately, the emerging transition to exascale computing has posed additional challenges such as co-design of applications and algorithms for power-efficient utilization of compute platforms. Overall, we observe that high-level cross-disciplinary collaboration is required, which again calls for user friendliness and flexibility of the designed PDE software frameworks.
PDESoft 2018 provides a forum for the developers and users of software solving the diverse stages of the numerical PDE process, and to discuss future directions of research and development.
The conference covers numerical software development with the following focus areas:
- meshing tools and adaptive mesh refinement
- solvers for large systems of equations
- numerical PDE solvers
- data visualisation systems
- user interfaces to scientific software
- reproducible science
PDESoft 2018 follows in the successful footsteps of PDESoft 2012
in Münster, PDESoft 2014
in Heidelberg, and PDESoft 2016