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OpenGL® API Based Analysis of Large Datasets in a Cloud Environment

Mexner, Wolfgang; Bonn, Matthias ORCID iD icon; Kopmann, Andreas ORCID iD icon; Mauch, Viktor; Ressmann, Doris; Chilingaryan, Suren ORCID iD icon; Tan Jerome, Nicholoas; Kamp, Thomas Van de; Heuveline, Vincent; Lösel, Philipp; Schmelzle, Sebastian; Heethoff, Michael

Abstract (englisch):

Modern applications for analysing 2D/3D data require complex visual output features which are often based on the multi-platform OpenGL® API for rendering vector graphics. Instead of providing classical workstations, the provision of powerful virtual machines (VMs) with GPU support in a scientific cloud with direct access to high performance storage is an efficient and cost effective solution. However, the automatic deployment, operation and remote access of OpenGL® API-capable VMs with professional visualization applications is a non-trivial task. In this chapter the authors demonstrate the concept of such a flexible cloud-like analysis infrastructure within the framework of the project ASTOR. The authors present an Analysis-as-a-Service (AaaS) approach based on VMware™-ESX for on demand allocation of VMs with dedicated GPU cores and up to 256 GByte RAM per machine.

DOI: 10.4018/978-1-5225-2785-5.ch006
Zugehörige Institution(en) am KIT Institut für Beschleunigerphysik und Technologie (IBPT)
Institut für Photonenforschung und Synchrotronstrahlung (IPS)
Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Scientific Computing Center (SCC)
Universität Karlsruhe (TH) – Zentrale Einrichtungen (Zentrale Einrichtungen)
Publikationstyp Buchaufsatz
Publikationsjahr 2018
Sprache Englisch
Identifikator ISBN: 978-1-5225-2785-5
ISSN: 1844-7600
KITopen-ID: 1000071278
HGF-Programm 56.03.30 (POF III, LK 01) Soft Matter, Health and Life Sciences
Weitere HGF-Programme 54.01.01 (POF III, LK 01) ps- und fs-Strahlen
Erschienen in Design and Use of Virtualization Technology in Cloud Computing. Ed.: P. Kumar Das
Verlag IGI Global
Seiten 161–181
Serie Advances in Computer and Electrical Engineering
Bemerkung zur Veröffentlichung Result of the BMB Collaboration ASTOR, finished 2016
Schlagwörter VMware vSphere, PCI-pass-through, AaaS, Scientific Cloud, Astor, GPU Virtualization, Shibboleth
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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