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Content available remote Parallel Large Scale Simulations in the PL-Grid Environment
EN
The growing demand for computational power causes that Grids are becoming mission-critical components in research and industry, offering sophisticated solutions in leveraging large-scale computing and storage resources. The nature a Grid in which resources are usually shared among multiple organizations offering resources under their control based on the “best effort” approach with no guarantee concerning the quality-of-service may be inadequate to support large-scale simulations. Requirements of such simulations often exceed capabilities of a single computing center causing the need to simultaneously allocate and synchronize resources belonging to many administrative domains whose functionality is missing in leading grid middlewares preventing researchers from executing large-scale simulations in grids. The paper presents tools and services that were designed to build multilayered infrastructure capable of dealing with computationally intensive large-scale simulations in the grid environment. The developed and deployed middleware enables computing clusters in different administrative domains to be virtually welded into a single powerful compute resource that can be treated as a quasi-opportunistic supercomputer. We describe the middleware developed in the QosCosGrid project and being enhanced under the PL-Grid national grid initiative, which provides advance reservation and resource co-allocation functionality as well as support for parallel large-scale applications based on OpenMPI (for C/C++ and Fortran) or ProActive for Java.
PL
Systemy obliczeń symbolicznych odgrywają ważną rolę w informatyce. Wykorzystuje się je w różnych dziedzinach, takich jak: zbiory, algebra i geometria komputerowa, grafy, metody numeryczne, translatory itd. W artykule zaproponowano podejście do budowy takich systemów na podstawie algorytmicznego systemu Markowa i systemu algebraicznego struktur listowych. Za pomocą takiego systemu można wykonywać przetwarzanie różnych obiektów: zbiorów, algebr, grafów, logik, języków programowania itd. Do realizacji tych zadań wykorzystuje się systemy algebraiczne struktur listowych, które są dynamicznymi strukturami danych i najbardziej nadają się do takich obliczeń.
EN
Symbolic computation systems play a major role in computer information science. They are being explored in several fields such as: collections of class, in computer algebra and geometry, graphs, numerical methods, translators, etc. In the article we suggest the way to build such systems based on Markow algorithmic system and systems of algorithmic linear structures. Thanks to such systems it is possible to translate different objects such as: collections, algebras, graphs, logical programming languages etc. In order to realize these assignments we are utilizing algebraic systems of linear structure which are dynamic data structures and which are most practical resolutions.
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