Grid Computing: Experiment Management, Tool Integration, and by Radu Prodan

By Radu Prodan

Grid computing has turn into a subject of important curiosity within the clinical neighborhood as a way of permitting program builders to combination assets scattered world wide for fixing large-scale medical difficulties. This monograph addresses 4 serious software program improvement points for the engineering and execution of functions on parallel and Grid architectures.

A new directive-based language referred to as ZEN is proposed for compact specification of broad price levels of curiosity for arbitrary software parameters, together with challenge or computing device sizes, array or loop distributions, software program libraries, interconnection networks, or aim execution machines. in response to the ZEN language, a unique scan administration device referred to as ZENTURIO is constructed for computerized test administration of large-scale functionality and parameter experiences on parallel and Grid architectures. This instrument has been proven with appreciate to performance and value on a number of real-world parallel functions from a variety of domain names, together with theoretical chemistry, photonics, funds, and numerical mathematics.

Depending at the ZENTURIO scan administration structure a commonplace optimization framework is outfitted up that integrates general-purpose meta-heuristics for fixing NP-complete functionality and parameter optimization difficulties in an exponential seek area targeted utilizing the ZEN test specification language. ultimately a well timed procedure is proposed for modeling and executing medical workflows in dynamic and heterogeneous Grid environments, introducing an summary formal version for hierarchical illustration of advanced directed graph-based workflows.

Thus this monograph contributes to varied examine components relating to built-in device improvement for effective engineering and excessive functionality execution of clinical functions in Grid environments.

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Extra resources for Grid Computing: Experiment Management, Tool Integration, and Scientific Workflows

Sample text

E. MPI-based) and the rather limited support for expressing irregular problems. It is, however, widely recognised that the HPF ideas deserve further attention as a high productivity paradigm for programming next generation high performance computing architectures [167]. To examine the scalability of HPF programs, the user commonly varies the number of parallel processors organised in an array expressed through a PROCESSORS directive. 4 defines an 2×2 two-dimensional processor array (see directive d2) onto which the arrays defined by the programmer are distributed using a DISTRIBUTE directive (see directive d4).

Associate local scopes to directives, restrict parametrisation to specific local variables, evaluate different scheduling alternatives for individual loops, or various distribution options for parallel arrays. Moreover, the ZEN directives do not change the semantics of the code, as they are ignored by language processors that are unaware of their semantics. We designed the ZEN directives as language independent and, therefore, can apply them in the context of any programming language. 1 shows six sample ZEN directives valid, in descending order, in the context of the following programming languages: FORTRAN 77, Fortran 90/95, C, C++/Java, Lisp, and shell scripting language.

1 shows six sample ZEN directives valid, in descending order, in the context of the following programming languages: FORTRAN 77, Fortran 90/95, C, C++/Java, Lisp, and shell scripting language. R. Prodan and T. Fahringer: Grid Computing, LNCS 4340, pp. 37–68, 2006. 1 (Sample ZEN directives in various programming languages). ZEN$ /*ZEN$ //ZEN$ ;ZEN$ #ZEN$ A A A A A A = = = = = = { { { { { { 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3 3 3 3 3 3 } } }*/ } } } We defined in the ZEN language four categories of directives: 1.

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