Abstract
To process the data available in Bioinformatics, High Performance Computing is required. To efficiently calculate the necessary data, the computational tasks need to be scheduled and maintained. We propose a method of predicting runtimes in a heterogeneous high performance computing environment as well as scheduling methods for the execution of hgih performance tasks. The heuristic method used is the feedforward artificial neural network, which utilizes a collected history of real life data to predict and schedule upcoming jobs.
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© 2012 Springer-Verlag Berlin Heidelberg
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Hölzlwimmer, A., Brandstätter-Müller, H., Parsapour, B., Lirk, G., Kulczycki, P. (2012). A Heuristic Scheduling and Resource Management System for Solving Bioinformatical Problems via High Performance Computing on Heterogeneous Multi-platform Hardware. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6927. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27549-4_53
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DOI: https://doi.org/10.1007/978-3-642-27549-4_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27548-7
Online ISBN: 978-3-642-27549-4
eBook Packages: Computer ScienceComputer Science (R0)