First, Surv-MDR requires very intensive computations by computing log-rank test statistics for all possible combinations of SNPs.
Observe that the probability that a data point belongs to far-away nucleosomes is close to zero, so one can avoid unnecessary computations by computing updates only for clusters in close vicinity of each point.
Therefore, it is convenient to perform the computations by using computer algebraic system like MATHEMATICA.
All these factors make modern CPUs (multicore and many-core) powerful technologies suitable for meeting the high computational demands of MCPSC computations by employing scalable parallel processing.
It supports efficient execution of incremental and iterative computations by using a new computational model called timely dataflow that differs from MapReduce model.
In the present research, the authors present algorithms and optimization procedures that allowed to significantly accelerate computations by taking advantage of the computational power of Graphics Processing Units (GPU).
For computational purposes, this approach also avoids more computations by using sparse operational matrices and saves much memory.
Developed by Google DeepMind, the program relied on deep learning, a method for making computations by arranging basic processing units into complex, layered networks, rather like the way that billions of neurons work together to produce the incomparable (for now) intelligence of the human brain.
Computations by the authors.
In general, the transform streamlines otherwise unwieldy computations by systematically partitioning the data.
Steps involved in computations by using fuzzy TOPSIS are as follow.
