A Heuristic Scheduling and Resource Management System for Solving Bioinformatical Problems via High Performance Computing on Heterogeneous Multiplatform Hardware

Andreas Hölzlwimmer, Hannes Brandstätter-Müller, Bahram Parsapour, Peter Kulczycki, Gerald Lirk

Research output: Chapter in Book/Report/Conference proceedingsConference contribution

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.

Original languageEnglish
Title of host publicationComputer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers
PublisherIUCTC Las Palmas de Gran Canaria
Pages416-423
Number of pages8
EditionPART 1
ISBN (Print)9783642275487
DOIs
Publication statusPublished - 2012
Event13th International Conference on Computer Aided Systems Theory, Eurocast 2011 - Las Palmas de Gran Canaria, Spain
Duration: 6 Feb 201111 Feb 2011
http://www.iuctc.ulpgc.es/spain/eurocast2011/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6927 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Computer Aided Systems Theory, Eurocast 2011
CountrySpain
CityLas Palmas de Gran Canaria
Period06.02.201111.02.2011
Internet address

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