A Multilevel Approach for the Performance Analysis of Parallel Algorithms
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We provide a multilevel approach for analysing performances of parallel algorithms. The main outcome of such approach is that the algorithm is described by using a set of operators which are related to each other according to the problem decomposition. Decomposition level determines the granularity of the algorithm. A set of block matrices (decomposition and execution) highlights fundamental characteristics of the algorithm, such as inherent parallelism and sources of overheads.
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