We'll present results on our INCITE project "Targeting Cancer with High Power Lasers," which aims to deliver beams of ions for cancer therapy accelerated by high power lasers. With a novel target design in which the target is levitated in a trap to isolate it from its environment, we study the properties of the generated ion beams and their potential for radiation therapy of cancer. In the discussion, we'll also present performance results of our own plasma simulation code PIConGPU on the Titan system, which has been used to study the laser plasma interaction in 3D.
With GPU-accelerated simulations, frames-per-second, in-situ visualization and visual analytics becoming a reality, it increases scalability of codes which allows to reduce the time to obtain a solution significantly. This also makes it possible to run large-scale parameter surveys for optimization. We will present recent activities on integrating complex particle accelerator simulations into a reconstruction loop for matching experimental measurements to simulation. This requires to put simulations in a loop with large-scale data analysis, sythetic diagnostics, image reconstruction techniques and interactive in-situ visualization. We will show how the different building blocks of such a tool chain can be accelerated using GPUs and discuss the combination of these tools.