MARTI-A Multiprocessor Architecture for Ray Tracing Images

The main problem we had to deal with for highly complex scenes are related to file size, limited address space, network distribution of the model data, and stalls due to

We demonstrated its application to stochastic ray tracing: by using traced paths, not only for computing an image contribution at the pixel through which the path was shot, but also

Among others, ray tracing offers physical correctness, ease- of-use for users and developers, efficient handling of com- plex models, and support for advanced algorithms like

Recently, a number of researches have taken advantage of the limitations of the human visual sys- tem to also reduce overall computational time by avoiding rendering those parts of

To compute soft shadows for semi-transparent objects due to a large area light source, we modify the multilayer depth map ray tracing algorithm to support a multilayer

While the core ray tracing algorithm might be embarrassingly parallel, scaling a ray tracer to render millions of pixels at real-time frame rates on a cluster remains challenging;

using real and complex light sources, defining a fast ray tracing algorithm to compute the reflector lighting and defining a new optimization algorithm to faster achieve the

When rendering scenes larger than the memory available to a single process but that can still fit within aggregate memory, the domain and dynamic ray-weighted schedules