Simulation Transformation Molecular - dynamics Cellular Interface CT / PET / MRI Microscopie Ultrasound Visualization Interactive Modelling Automata Fluid - dynamics Measurement Feedback

Integrated on the y data analysis and image synthesis is one of the most dominant challenges on modern volume visualization tools Since volume visualization algorithms are them self computationally complex and mem ory intensive there is hardly a chance to e ciently integrate data analysis tools on standard single processor architectures The development and spreading of multiprocessor systems with large scale memory allow for the direct analysis and modi cation of the data during the rendering process But to e ciently integrate both tasks similar parallelization strategies and a unique data layout must be chosen Furthermore since more and more systems with hardware assisted processing and visualization options can be accessed across high performance networks distributed visualization tools should bene t from these options whenever possible In the following paper a prototyped parallel visualization environment will be exempli ed in which data analysis and image synthesis are simultaneously performed on demand The objective is to outline basic parallelization and distri bution aspects which enable exible integration of di erent tasks rather than to present a concrete implementation In this context the develop ment and design of a unique algorithmic framework for integrated and or distributed data analysis and image synthesis dominates the work here after