Abstract
High performance computing in medical science has led to important progress in the field of computer tomography. A fast calculation of various types of images is a precondition for statistical comparison of big sets of input data. With our current research we adapted parallel programs from PVM to CORBA. CORBA makes the integration into clinical environments much easier. In order to improve the efficiency and maintainability we added load balancing and graphical on-line tools to our CORBA-based application program.
This work is partly funded by the Deutsche Stifterverband, Kurt-Eberhard-Bode Stiftung
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Ludwig, T., Lindermeier, M., Stamatakis, A., Rackl, G. (2001). Tool Environments in CORBA-Based Medical High Performance Computing. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2001. Lecture Notes in Computer Science, vol 2127. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44743-1_47
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DOI: https://doi.org/10.1007/3-540-44743-1_47
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