AMD’s GCN Architecture comes at a time of change for the industry. Graphics is an increasingly important part of the user experience, and a crucial component for SoCs that integrate CPUs and GPU side-by-side. The mandate for GPUs is expanding to include not just 3D rendering, but new general purpose, heterogeneous applications such as facial recognition, which are only feasible using the parallel performance of the GPU.
This workshop aims at addressing this pressing issue by fostering communication between visualization researchers and the users of visualization. Attendees will be introduced to the latest and greatest research innovations in large data visualization, and also learn how these innovations impact scientific supercomputing and discovery process.
The conference brings together researchers, engineers, and architects to discuss the complex interactions of massively parallel hardware, novel programming models, efficient graphics algorithms, and innovative applications.