Optimization methods of parallel execution of numerical programs in the LuNA fragmented programming system

Authors:
Victor Malyshkin;Vladislav Perepelkin
Affiliations:
Institute of Computational Mathematics and Mathematical Geophysics, Russian Academy of Sciences, Moscow, Russian Federation;Institute of Computational Mathematics and Mathematical Geophysics, Russian Academy of Sciences, Moscow, Russian Federation
Venue:
The Journal of Supercomputing
Year:
2012

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Abstract

The organization of high-performance execution of a fragmented program has encountered with the problem of choosing of an acceptable way of its execution. The potentialities of optimizing the execution at the stages of fragmented program development, compilation and execution are considered. The methods and algorithms of such an optimization are proposed to be included into the LuNA fragmented programming language, compiler, generator and run-time system.