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

doi:10.1007/978-3-642-27549-4_53

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 proceedings › Conference 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 language	English
Title of host publication	Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers
Publisher	IUCTC Las Palmas de Gran Canaria
Pages	416-423
Number of pages	8
Edition	PART 1
ISBN (Print)	9783642275487
DOIs	https://doi.org/10.1007/978-3-642-27549-4_53
Publication status	Published - 2012
Event	13th International Conference on Computer Aided Systems Theory, Eurocast 2011 - Las Palmas de Gran Canaria, Spain Duration: 6 Feb 2011 → 11 Feb 2011 http://www.iuctc.ulpgc.es/spain/eurocast2011/

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6927 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Computer Aided Systems Theory, Eurocast 2011
Country/Territory	Spain
City	Las Palmas de Gran Canaria
Period	06.02.2011 → 11.02.2011
Internet address	http://www.iuctc.ulpgc.es/spain/eurocast2011/

Access to Document

10.1007/978-3-642-27549-4_53

Cite this

Hölzlwimmer, A., Brandstätter-Müller, H., Parsapour, B., Kulczycki, P., & Lirk, G. (2012). A Heuristic Scheduling and Resource Management System for Solving Bioinformatical Problems via High Performance Computing on Heterogeneous Multiplatform Hardware. In Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers (PART 1 ed., pp. 416-423). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6927 LNCS, No. PART 1). IUCTC Las Palmas de Gran Canaria. https://doi.org/10.1007/978-3-642-27549-4_53

Hölzlwimmer, Andreas ; Brandstätter-Müller, Hannes ; Parsapour, Bahram et al. / A Heuristic Scheduling and Resource Management System for Solving Bioinformatical Problems via High Performance Computing on Heterogeneous Multiplatform Hardware. Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers. PART 1. ed. IUCTC Las Palmas de Gran Canaria, 2012. pp. 416-423 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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

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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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers",

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Hölzlwimmer, A, Brandstätter-Müller, H, Parsapour, B, Kulczycki, P & Lirk, G 2012, A Heuristic Scheduling and Resource Management System for Solving Bioinformatical Problems via High Performance Computing on Heterogeneous Multiplatform Hardware. in Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6927 LNCS, IUCTC Las Palmas de Gran Canaria, pp. 416-423, 13th International Conference on Computer Aided Systems Theory, Eurocast 2011, Las Palmas de Gran Canaria, Spain, 06.02.2011. https://doi.org/10.1007/978-3-642-27549-4_53

A Heuristic Scheduling and Resource Management System for Solving Bioinformatical Problems via High Performance Computing on Heterogeneous Multiplatform Hardware. / Hölzlwimmer, Andreas; Brandstätter-Müller, Hannes; Parsapour, Bahram et al.
Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers. PART 1. ed. IUCTC Las Palmas de Gran Canaria, 2012. p. 416-423 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6927 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution

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AU - Hölzlwimmer, Andreas

AU - Brandstätter-Müller, Hannes

AU - Parsapour, Bahram

AU - Kulczycki, Peter

AU - Lirk, Gerald

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N2 - 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.

AB - 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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SN - 9783642275487

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Hölzlwimmer A, Brandstätter-Müller H, Parsapour B, Kulczycki P , Lirk G. A Heuristic Scheduling and Resource Management System for Solving Bioinformatical Problems via High Performance Computing on Heterogeneous Multiplatform Hardware. In Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers. PART 1 ed. IUCTC Las Palmas de Gran Canaria. 2012. p. 416-423. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-27549-4_53

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

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