Computer Science
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ISSN 1508-2806
e-ISSN: 2300-7036
Issue Date
2012
Volume
Vol. 13
Number
No. 1
Description
Reviewed by: Bartosz Kryza, Renata Słota, Piotr Bala, Simon Ostermann, Roman Dębski, Marek Kisiel-Dorohinicki, Maciej Paszyński, David Pardo, Włodzimierz Funika, Dariusz Król, Krzysztof Kurowski, Yuzhang Han
Journal Volume
Computer Science
Vol. 13 (2012)
Projects
Pages
Articles
Using advanced data mining and integration in environmental prediction scenarios
(Wydawnictwa AGH, 2012) Habala, Ondrej; Hluchý, Ladislav; Tran, Viet; Krammer, Peter; Šeleng, Martin
We present one of the meteorological and hydrological experiments performed in the FP7 project ADMIRE. It serves as an experimental platform for hydrologists, and we have used it also as a testing platform for a suite of advanced data integration and data mining (DMI) tools, developed within ADMIRE. The idea of ADMIRE is to develop an advanced DMI platform accessible even to users who are not familiar with data mining techniques. To this end, we have designed a novel DMI architecture, supported by a set of software tools, managed by DMI process descriptions written in a specialized high-level DMI language called DISPEL, and controlled via several different user interfaces, each performing a different set of tasks and targeting different user group.
Design and implementation of the Mobile Grid Resource Management System
(Wydawnictwa AGH, 2012) Filippidis, Christos; Cotronis, Yiannis; Markou, Christos
We present a design of a Mobile Grid Resource Management System aimed at integrating mobile resources to an existing Grid infrastructure, while creating a platform for interoperability with telecommunications providers. In order to reduce the load on an existing infrastructure, we separate responsibilities and run additional features on mobile resources. Finally we present the Ikaros-EG implementation, IkarosM android application and the mobile-Grid concept.The system used for our implementation was the NCSR "Demokritos" ZEUS computer Cluster, where the Ikaros-EG framework consisting of a meta-data collector and the Ikaros-EG plug-in has been installed. The ZEUS cluster has local and Grid access to data and meta-data from numerous scientific experiments. Our objective was to incorporate the mobile resources using the NCSR Demokritos campus wireless infrastructure in order to run applications concerning accounting, statistics, or further data/meta-data formatting.
Using BOINC desktop grid to solve large scale SAT problems
(Wydawnictwa AGH, 2012) Posypkin, Mihail Anatol'evič; Semënov, Aleksandr Anatol'evič; Zaikin, Oleg
Many practically important combinatorial problems can be efficiently reduced to a problem of Boolean satisfiability (SAT). Therefore, the implementation of distributed algorithms for solving SAT problems is of great importance. In this article we describe a technology for organizing desktop grid, which is meant for solving SAT problems. This technology was implemented in the form of a volunteer computing project SAT@home based on a popular BOINC platform.
GPU enhanced simulation of angiogenesis
(Wydawnictwa AGH, 2012) Worecki, Marcin; Wcisło, Rafał
In the paper we present the use of graphic processor units to accelerate the most time-consuming stages of a simulation of angiogenesis and tumor growth. By the use of advanced CUDA mechanisms such as shared memory, textures and atomic operations, we managed to speed up the CUDA kernels by a factor of 57x. However, in our simulation we used the GPU as a co-processor and data from CPU was copied back and forth in each phase. It decreased the speedup of rewritten stages by 40%. We showed that the performance of the entire simulation can be improved by a factor of 10 up to 20.
Dataspace support platform for e-Science
(Wydawnictwa AGH, 2012) Elsayed, Ibrahim; Brezany, Peter
This work intends to provide a data management solution based on the concepts of dataspaces for the large-scale and long-term management of scientific data. Our approach is to semantically enrich the existing relationship among primary and derived data items, and to preserve both relationships and data together within a dataspace to be reused by owners and others. To enable reuse, data must be well preserved. Preservation of scientific data can best be established if the full life cycle of data is addressed. This is challenged by the e-Science life cycle ontology, whose major goal is to trace the semantics about procedures in scientific experiments. We present a theoretical dataspace model for e-Science applications, its implementation within a dataspace support platform and an experimental evaluation on top of two real world application domains.