Abstract: A method of processing a volume visualization dataset. Information is transmitted from a resource manager to a task scheduling module regarding the number of processor nodes and amount of storage available in associated storage devices, and sub-tasks instructions including algorithm modules are transmitted from the task scheduling module to a master processor and multiple slave processor nodes. Portions of the volume visualization dataset are transmitted from data storage devices to RAM accessed directly by the master and slave processor nodes. The sub-task instructions and algorithm modules are executed on the individual master and slave processor nodes by accessing directly the portions of the dataset on their respective RAM. Results are transmitted to the master processor node of the slave processor node execution of any sub-task and algorithm module assigned to the slave node. The results are combined at the master processor node and transmitted to the volume visualization application.