This book describes the current state of the art for simulating paint shop applications, their advantages and limitations, as well as corresponding high-performance computing (HPC) methods utilized in this domain. The authors provide a comprehensive introduction to fluid simulations, corresponding optimization methods from the HPC domain, as well as industrial paint shop applications. They showcase how the complexity of these applications bring corresponding fluid simulation methods to their limits and how these shortcomings can be overcome by employing HPC methods. To that end, this book covers various optimization techniques for three individual fluid simulation techniques, namely grid-based methods, volumetric decomposition methods, and particle-based methods. Provides the necessary background on fluid simulations, both from the perspective of simulation and high-performance computing; Discusses details of HPC methods used to make corresponding methods applicable to even very complex, realistic problems, such as industrial paint shop applications; Provides not only theoretical background on the covered methods, but also shows their application to actual problems from the automotive industry.