Experiment management support for performance tuning
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IEEE Computational Science & Engineering
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VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
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IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
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Gilgamesh: a multithreaded processor-in-memory architecture for petaflops computing
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Nimrod: a tool for performing parametrised simulations using distributed workstations
HPDC '95 Proceedings of the 4th IEEE International Symposium on High Performance Distributed Computing
Journal of Parallel and Distributed Computing - Special issue on middleware
ASKALON: a tool set for cluster and Grid computing: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
VFC: The Vienna Fortran Compiler
Scientific Programming
Grid computing: experiment management, tool integration, and scientific workflows
Grid computing: experiment management, tool integration, and scientific workflows
An experiment specification language for goal-driven, automated performance evaluations
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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Currently there exists little support to specify and control the execution of a large number of experiments required for performance oriented development of scientific applications. We have developed a new directive based language called ZEN for the specification of wide sets of synthetic experiments in the context of large scale parameter and performance studies of parallel applications. We report experimental results for the performance analysis of an ocean simulation application and for the parameter study of a computational finance code.