Grid computing has become a topic of significant interest in the
scientific community as a means of enabling application developers
to aggregate resources scattered around the globe for solving
large-scale scientific problems. This monograph addresses four
critical software development aspects for the engineering and
execution of applications on parallel and Grid architectures.
A new directive-based language called ZEN is proposed for
compact specification of wide value ranges of interest for
arbitrary application parameters, including problem or machine
sizes, array or loop distributions, software libraries,
interconnection networks, or target execution machines. Based on
the ZEN language, a novel experiment management tool called
ZENTURIO is developed for automatic experiment management of
large-scale performance and parameter studies on parallel and Grid
architectures. This tool has been validated with respect to
functionality and usefulness on several real-world parallel
applications from various domains, including theoretical chemistry,
photonics, finances, and numerical mathematics.
Depending on the ZENTURIO experiment management architecture a
generic optimization framework is built up that integrates
general-purpose meta-heuristics for solving NP-complete performance
and parameter optimization problems in an exponential search space
specified using the ZEN experiment specification language. Finally
a timely approach is proposed for modeling and executing scientific
workflows in dynamic and heterogeneous Grid environments,
introducing an abstract formal model for hierarchical
representation of complex directed graph-based workflows.
Thus this monograph contributes to various research areas
related to integrated tool development for efficient engineering
and high performance execution of scientific applications in Grid
environments.
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