The results indicate the need to begin an effort to benchmark computations of instability phenomena.
Two-dimensional benchmark computations show that the no-slip boundary condition and the shape preservation condition are satisfied in this method.
Moreover, when Reynolds number is of O(1) and when the first order semi-implicit time stepping is used, time step size of O(1) is allowed in benchmark computations for the full NSE.
The benchmark computes GO term similarities instead of gene similarities because the former is the most time-consuming part of similarity computation.
By using these benchmarks, the computation time is one of the intuitive metrics for evaluating the performance of different big data analytics platforms or algorithms.
The two benchmarks showed a computation time of a few seconds to a few minutes and L-CG-MEC a computation time varying from 10to2020 minutes.
The 10th, 25th, 50th, 75th, and 90th percentiles were used as reasonable benchmarks for the computation of data for various strata of age, sex, and disease duration.
Experimental results demonstrate that our method achieves state-of-the-art performance for all these benchmarks whilst requiring less computation resource.
In our benchmarking, we report mean computation times and memory measurements.
We evaluate the run time of our MDR software on datasets of three different sizes to provide the user with benchmarks in terms of computation time.
