Our results show that performance can be predicted and that the best input configuration for stencil problems can be obtained by simulations of hardware counters and performance measurements.
Also, the effect of various input configurations of the length of neural inputs n for the NN architectures (MLP in Figure 3, QNU in Figure 4) was studied.
The basic concept is to use the original input files, in ASCII format, as a basis and to modify these files for generating valid input configurations automatically for the numerical analysis.
For example, every two accepted input configurations are equivalent, because both are equivalent to (s_{mathrm {acc}}).
Several input configurations are tested, including, reduced sets of training inputs (analysis runs), training inputs of high and low fidelity, two sampling processes for these inputs (i.e., random and stratified sampling) and two different IM representations.
Input configurations required before to run the workflow.
Moreover for every input configuration c of (M"), M accepts c if and only if c is accepted by (M"), hence if and only if c corresponds to a word from X.
An MD simulation of 8 ns duration was performed for each input configuration.
For the input configuration where EGF = 0 and TNFα = 1, starting from an initial state with ERK = 1, under the asynchronous update, the system is able to reach two cyclic attractors differing by the presence of ph.
To assess the stability of the LMH predictions, we calculated the percentage of instances in which there is a prediction from one tissue input configuration that does not agree with another tissue input configuration in terms of class membership, for all exons and tissues.
