PNNL

Abstract

The Parallel Computational Environment for Imaging Science, PiCEIS, is an image processing package designed for efficient execution on massively parallel computers. Through effective use of the aggregate resources of such computers, PiCEIS enables much larger and more accurate production processing using existing off the shelf hardware. A goal of PiCEIS is to decrease the difficulty of writing scalable parallel programs, reduce the time to add new functionalities and provide for real-time interactive image processing. In part this is accomplished by the PiCEIS architecture, its ability to easily add additional modules, and also through the use of a shared memory programming model based upon one-sided access to distributed shared memory. In this paper we briefly describe the PiCEIS architecture, our shared memory programming tools, and examine some typical techniques and algorithms. Initial image processing performance testing are encouraging for very large image files in under 10 seconds.