Parallel computational environment for imaging science

摘要

The Parallel Computational Environment for Imaging Science, PiCEIS, is an image processing code 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 and reduce the tune to add new functionalities. In part this is accomplished by the PiCEIS architecture, its ability to easily add additional modules, and also through the use of a non-uniform memory access (NUMA) programming model based upon one-sided access to distributed shared memory. In this paper we briefly describe the PiCEIS architecture, our NUMA programming tools, and examine some typical techniques and algorithms.