Exascale computing is regarded as a major milestone for a number of application fields. However, utilizing the massively parallel power of such architectures requires a significant paradigm shift in the software structure of both simulation and visualization systems. A suboptimal workload distribution, communication bottlenecks between processes, as well as global memory accesses are often the limiting part in current approaches when it comes to the execution of such software in an exascale environment.Recent cases of malaria and Ebola in Africa have shown that there is a need for disease-spreading simulations to help healthcare workers better predict unexpected scenarios and take the necessary precautions. Reaction time plays an important role when it comes to containing a disease. Therefore, converting these kinds of demanding simulations to highly parallel computing systems as well as interactively visualizing the results is key. This paper demonstrates an approach towards a worldwide simulation of disease-spreading and an integrated-in situ-visualization. Instead of applying large-scale stochastic models, our agent-based method simulates the complete population of the world, accounting for daily tasks and routines of each subject. We focus on massive parallelization and efficient scaling to benefit from existing petascale to upcoming exascale setups. In particular, workload distribution is performed based on space partitioning and not on the population count, which is nonetheless included as an initial optimization. The resulting simulation is combined with a query-driven in situ visualization client that directly utilizes the spatial partitioning and the employed hierarchy. Our preliminary benchmarks underline the scalability of our approach in terms of rising computing power and encourage further research in the direction of worldwide, agent-based simulations and the corresponding in situ visualizations.

Large screen displays are part of many future visions, such as i- LAND [11] that describes the possible workspace of the future. Research showed that wall-sized screens provide clear benefits for data exploration, collaboration and organizing work in office environments. With the increase of computational power and falling display prices wall-sized screens currently make the step out of research labs and specific settings into office environments and private life. Today, there is no standard set of interaction techniques for interacting with wall-sized displays and it is even unclear if a single mode of input is suitable for all potential applications. In this workshop, we will bring together researchers from academia and industry who work on large screens. Together, we will survey current research directions, review promising interaction techniques, and identify the underlying fundamental research challenges.

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Most large-area video projection systems offer only limited spacial resolution. Consequently, images of detailed scenery cannot be displayed at full fidelity. A possible but significantly more costly strategy is a tiled projection display. If this solution is not feasible then either aliasing occurs or some anti-aliasing method is used at the cost of reduced scene quality.In this paper we describe a novel cost effective multi-resolution display system. It allows users to select any part of a stereoscopic projection and view it in significantly higher resolution than possible with the standard projection alone. To achieve this, a pair of video projectors, which can be moved by stepper motors, project a high-resolution inset into a small portion of the low-resolution image. To avoid crosstalk between the low and high resolution projections, a mask is rendered into the low resolution scene to black out the area on the screen that is covered by the inlay.To demonstrate the effectiveness of our multi-resolution display setup it has been integrated into a number of real life scenarios: a virtual factory, an airplane cabin simulation, and a focus and context volume visualization application (see Figure 1).