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Computer benchmarks demonstrate the speedup of our implementation over the CPU implementation as well as strong and weak scalability.
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Experimental results on the Middlebury stereo benchmarks demonstrate the effectiveness of the proposed approach.
In this section, we demonstrate the speedup potential of our presented method to significantly speed up transient analog circuit simulations.
Lastly, we demonstrate the speedup and scalability that can be achieved using our GPU algorithms, and we show some results from simulations of our epidermis model.
Our experiments with a real-world benchmark demonstrate the good performance of Metis.
An example is presented to demonstrate the dramatic speedup.
Experimental evaluations demonstrate the performance speedup of our approach.
The objectives are to demonstrate the significant speedup of a new GPU-enabled full dynamic wave flood model and to present the effect of model spatial resolution on its speedup.
Experimental results show that the average speedup is 1.36 times faster than default Linux scheduler through evaluation using PARSEC benchmarks, demonstrating that the proposed technique is promising when compared to other prior studies.
Experiments over controlled benchmarks demonstrated that the algorithms' performances are problem dependent [50, 51].
Some benchmark cases demonstrate the efficacy of the proposed approaches.
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CEO of Professional Science Editing for Scientists @ prosciediting.com