About ParCFD
Computational Fluid Dynamics (CFD) is a discipline that has always been in the vanguard of the exploitation of emerging and developing technologies. The CFD community is in quest for more efficient simulation technologies and methods accurately solving for the physics of fluids. Reductions in the time-to-solution have rapidly absorbed advances in both algorithmic and computer hardware development. Within this context, parallel computing has played an increasingly important role. Parallel computation on large-scale High-Performance Computing (HPC) systems, i.e., on pre-Exascale and Exascale systems, down to low-end commodity PC clusters has become a common tool for scientific discoveries. Moreover, the uptake of parallel computing has brought the CFD community into ever-closer contact with hardware vendors and computer scientists. Co-development is this way continuoulsy pushing the boundaries in algorithm development, taking into account novel and heterogeneous hardware technologies. The multidisciplinary subject of parallel CFD and its rapidly evolving nature, in terms of hardware and software, requires a regular international meeting of this nature to keep abreast of the most recent developments.
Parallel CFD is an annual conference series dedicated to the discussion of recent developments and applications of parallel computing in the field of CFD and related disciplines. Since the inaugural conference in 1989, many new developments and technologies have emerged, making the current high-end generation of HPC systems large scale investments from both Governments and the private sector around the word.
Over the years, the meeting sessions involved papers on parallel algorithms, developments in software tools and environments, unstructured mesh applications, combustion, industrial applications, climate modelling, atmospheric and oceanic global simulation, interdisciplinary application, multiscale and multiphysics applications, uncertainty quantification, machine learning, and evaluation of computer architectures ranging from high-end to low-end systems.
