An Application Framework for the Scheduling of HPC Jobs on Hybrid Hardware Platforms for Solving Bioinformatical Problems

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

An Application Framework for the Scheduling of HPC Jobs on Hybrid Hardware Platforms for Solving Bioinformatical Problems

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

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

Abstract

Managing a group of heterogeneous compute nodes, especially if the heterogeneity concerns the type of main processing unit, is a nontrivial task. This framework sets out to allow the dynamic and intelligent scheduling and distribution of computational tasks across such a hybrid environment. The framework supports dynamic managing of the tasks as well as a prediction of run times for some often-used algorithms, which allows the scheduler to further optimize the selection of compute nodes to run the calculation on.

Original language	English
Title of host publication	55. GMDS-Jahrestagung
Publisher	Antares Computer Verlag GmbH
Pages	354-355
ISBN (Print)	978-3-932971-11-2
Publication status	Published - 2010
Event	55. GMDS Jahrestagung - Mannheim, Germany Duration: 5 Sept 2010 → 9 Sept 2010 http://www.gmds2010.de

Conference

Conference	55. GMDS Jahrestagung
Country/Territory	Germany
City	Mannheim
Period	05.09.2010 → 09.09.2010
Internet address	http://www.gmds2010.de

Keywords

HPC
bioinformatics

Cite this

@inproceedings{9ac233ee1c504579942b6eec781acdd3,

title = "An Application Framework for the Scheduling of HPC Jobs on Hybrid Hardware Platforms for Solving Bioinformatical Problems",

abstract = "Managing a group of heterogeneous compute nodes, especially if the heterogeneity concerns the type of main processing unit, is a nontrivial task. This framework sets out to allow the dynamic and intelligent scheduling and distribution of computational tasks across such a hybrid environment. The framework supports dynamic managing of the tasks as well as a prediction of run times for some often-used algorithms, which allows the scheduler to further optimize the selection of compute nodes to run the calculation on.",

keywords = "HPC, bioinformatics, HPC, bioinformatics",

author = "Hannes Brandst{\"a}tter-M{\"u}ller and Andreas H{\"o}lzlwimmer and Bahram Parsapour and Gerald Lirk and Peter Kulczycki",

year = "2010",

language = "English",

isbn = "978-3-932971-11-2",

pages = "354--355",

booktitle = "55. GMDS-Jahrestagung",

publisher = "Antares Computer Verlag GmbH",

note = "55. GMDS Jahrestagung ; Conference date: 05-09-2010 Through 09-09-2010",

url = "http://www.gmds2010.de",

}

TY - GEN

T1 - An Application Framework for the Scheduling of HPC Jobs on Hybrid Hardware Platforms for Solving Bioinformatical Problems

AU - Brandstätter-Müller, Hannes

AU - Hölzlwimmer, Andreas

AU - Parsapour, Bahram

AU - Lirk, Gerald

AU - Kulczycki, Peter

PY - 2010

Y1 - 2010

N2 - Managing a group of heterogeneous compute nodes, especially if the heterogeneity concerns the type of main processing unit, is a nontrivial task. This framework sets out to allow the dynamic and intelligent scheduling and distribution of computational tasks across such a hybrid environment. The framework supports dynamic managing of the tasks as well as a prediction of run times for some often-used algorithms, which allows the scheduler to further optimize the selection of compute nodes to run the calculation on.

AB - Managing a group of heterogeneous compute nodes, especially if the heterogeneity concerns the type of main processing unit, is a nontrivial task. This framework sets out to allow the dynamic and intelligent scheduling and distribution of computational tasks across such a hybrid environment. The framework supports dynamic managing of the tasks as well as a prediction of run times for some often-used algorithms, which allows the scheduler to further optimize the selection of compute nodes to run the calculation on.

KW - HPC

KW - bioinformatics

KW - HPC

KW - bioinformatics

M3 - Conference contribution

SN - 978-3-932971-11-2

SP - 354

EP - 355

BT - 55. GMDS-Jahrestagung

PB - Antares Computer Verlag GmbH

T2 - 55. GMDS Jahrestagung

Y2 - 5 September 2010 through 9 September 2010

ER -

An Application Framework for the Scheduling of HPC Jobs on Hybrid Hardware Platforms for Solving Bioinformatical Problems

Abstract

Conference

Keywords

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