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Therefore, during the execution of the program, the cores' frequency was scaled to 1 GHz as expected.
At first glance, it seemed that the TensorFlow platform does not exploit the available cores to implement a significant parallel computing. To verify this guessing, the test was repeated by limiting the number of cores. The results are listed in the following table shown below lists the execution times .
{| class="wikitable"
!# of cores
!Governor
!Execution Prediction time
[s]
!
|2
|interactive
|2.6
|
|-
|4
|interactive
|2.65
|
|}
As shown, the prediction time doesn't change significantly to increasing of the number of cores. This should confirm TensorFlow computing engine doesn't
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