Parallel Medical Image Reconstruction: From Graphics Processors to Grids

Authors:
Maraike Schellmann;Sergei Gorlatch;Dominik Meiländer;Thomas Kösters;Klaus Schäfers;Frank Wübbeling;Martin Burger
Affiliations:
University of Münster, Germany;University of Münster, Germany;University of Münster, Germany;University of Münster, Germany;University of Münster, Germany;University of Münster, Germany;University of Münster, Germany
Venue:
PaCT '09 Proceedings of the 10th International Conference on Parallel Computing Technologies
Year:
2009

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Parallel medical image reconstruction: from graphics processing units (GPU) to Grids

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Abstract

We present a variety of possible parallelization approaches for a real-world case study using several modern parallel and distributed computer architectures. Our case study is a production-quality, time-intensive algorithm for medical image reconstruction used in computer tomography. We describe how this algorithm can be parallelized for the main kinds of contemporary parallel architectures: shared-memory multiprocessors, distributed-memory clusters, graphics processors, the Cell processor and, finally, how various architectures can be accessed in a distributed Grid environment. The main contribution of the paper, besides the parallelization approaches, is their systematic comparison regarding four important criteria: performance, programming comfort, accessibility, and cost-effectiveness. We report results of experiments on particular parallel machines of different architectures that confirm the findings of our systematic comparison.