Markus Lindermeier

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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(More)
Inference of large phylogenetic trees using statistical methods is computationally extremely expensive. Thus, progress is primarily achieved via algorithmic innovation rather than by brute-force allocation of available computational ressources. We describe simple heuristics which yield accurate trees for synthetic (simulated) as well as real data and(More)
Software development is getting more and more complex, especially within distributed middleware-based environments. A major drawback during the overall software development process is the lack of on-line tools, i.e. tools applied as soon as there is a running prototype of an application. The MIMO MIddleware MOnitor provides a solution to this problem by(More)
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