PL-Grid: Foundations and Perspectives of National Computing Infrastructure

Kitowski, Jacek; Micha,; Tura,; Wiatr, K.; Dutka, Łukasz

doi:10.1007/978-3-642-28267-6_1

Cited by 11 publications

(5 citation statements)

References 8 publications

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“…Software implementation of pESA on the PLGrid platform pESA is designed to run on either an Unix or Linux-based system. It employs the Zeus cluster of the Polish Grid Infrastructure (PL-Grid), which has been built to provide the Polish scientific community with an IT platform enabling research in various domains of e-Science (Kitowski et al, 2012). Since March 2010 PL-Grid has been a part of a pan-European infrastructure and is both compatible and interoperable with existing European and worldwide Grid frameworks (access requirements to PL-Grid and pESA are described in section 7).…”

Section: Maehmentioning

confidence: 99%

An optimization platform for Poland's power sector considering air pollution and health effects

Wyrwa

2015

Environmental Modelling & Software

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Section: Maehmentioning

confidence: 99%

An optimization platform for Poland's power sector considering air pollution and health effects

Wyrwa

2015

Environmental Modelling & Software

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“…The platform also delivers additional tools (Redirus and IpWrangler, described in section 3.5.2) which provide NAT (Network Address Translation) redirection services to help manage TCP/UDP protocol redirections into virtual machines started in private networks. Currently the Atmosphere platform is used in PLGrid (also a member of EGI) as the primary cloud gateway for the PLGrid infrastructure [30]. All examples and performance tests presented in this paper were executed using Figure 1: Atmosphere conceals differences between different compute sites and delivers unified REST interfaces used by the Taverna plugin and VPH-Share portal.…”

Section: Atmospherementioning

confidence: 99%

Support for Taverna workflows in the VPH-Share cloud platform

Kasztelnik

Coto

Bubak

et al. 2017

Computer Methods and Programs in Biomedicine

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“…This also true in the case of other fields of science. For some application the solution is to distribute the problem [10]. • The "client" sends jobs to the "controller",…”

Section: Heterogeneous Computationsmentioning

confidence: 99%

Optimization of Distributed Multi-Node, Multi-GPU, Heterogeneous System for 3D Image Reconstruction in Electrical Capacitance Tomography

Majchrowicz

Kapusta

Jackowska-Strumiłło

et al. 2016

Image Processing &Amp; Communications

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Electrical Capacitance Tomography is a non-invasive imaging technique, which allows visualization of the industrial processes interior and can be applied to many branches of the industry. Image reconstruction process, especially in case of 3D images, is a very time consuming task (when using classic processors and algorithms), which in turn leads to an unacceptable waiting time and currently limits the use of 3D Electrical Capacitance Tomography. Reconstruction using deterministic methods requires execution of many basic operations of linear algebra, such as matrix transposition, multiplication, addition and subtraction. In order to reach real-time reconstruction a 3D ECT computational subsystem must be able to transform capacitance data into images in a fraction of a second. By assuming, that many of the computations can be performed in parallel using modern, fast graphics processor and by altering the algorithms, time to achieve high quality image reconstruction will be shortened significantly. The research conducted while analysing ECT algorithms has also shown that, although dynamic development of GPU computational capabilities and its recent application for image reconstruction in ECT has significantly improved calculations time, in modern systems a single GPU is not enough to perform many tasks. Distributed Multi-GPU solutions can reduce reconstruction time to only a fraction of what was possible on pure CPU systems. Nevertheless performed tests clearly illustrate the need for further optimizations of previously developed algorithms.

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PL-Grid: Foundations and Perspectives of National Computing Infrastructure

Cited by 11 publications

References 8 publications

An optimization platform for Poland's power sector considering air pollution and health effects

An optimization platform for Poland's power sector considering air pollution and health effects

Support for Taverna workflows in the VPH-Share cloud platform

Optimization of Distributed Multi-Node, Multi-GPU, Heterogeneous System for 3D Image Reconstruction in Electrical Capacitance Tomography

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