Quickly assemble a solution that delivers the highest-quality visualizations possible in the big data age, with both excellent performance and lower costs. Visualizations serve the crucial role of making complex data intelligible to the human eye, and for this reason, they are needed in industries as diverse as architecture, scientific research, entertainment, and engineering. But as data sizes in... these industries increase exponentially, the limitations of today's graphics-processing hardware make visualizing the large datasets a growing challenge. This challenge is especially pronounced because excellent image fidelity in visualizations is essential. Visualizing a scientifically accurate model fosters insight about the problem being investigated, but a model that compromises resolution or fidelity potentially sows misunderstanding, hindering the analysis and discovery process. On top of these already processing-intensive demands for image fidelity, scientists and researchers are increasingly demanding interactivity in their visualization environments. Interactive visual computing enables users to dynamically modify parameters during computation and manipulate the visual representation of data in real time, driving even more scientific discoveries. The high processing requirements for interactivity, however, can significantly slow down a visualization system, especially with larger datasets.