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Its solutions and computational performances are discussed.
Computational performances of three basic formulations are also discussed.
Very high computational performances are achieved at the expense of memory usage.
Parallel implementations are widely used in digital architectures to enhance computational performances, exploiting the number of involved processing units.
Comparing with a Contrast Genetic Algorithm, QEA can achieve better computational performances for small and middle size problems.
However in the case of a large loading spectrum this frequency-by-frequency approach could seriously degrade the computational performances of the strategy.
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In general, the computational performance depends on computer architecture and the degree of code optimization.
eQTL mapping in the hypothalamus dataset was performed to evaluate computational performance, rather than to compare the results with SNPster.
In the highest resolution run of Δ0.87, we achieved the greatest computational performance for weak scaling on the K computer.
Computational performance was evaluated by consideration of three factors: computation time, maximum memory usage, and mapped read counts.
Increasingly, high-performance computing is looking towards data-parallel computational devices to enhance computational performance.
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