Changes

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Given the formula S(n) = 1 / 1 - P + P / N

P = the percentage portion of parallizable code

N = the number of cores to distribute on

S(n) = the final speed increase as a multiplicative

For this analysis - the Nvidia 1070 GPU is available for testing and has a total of 1920 CUDA cores.

S(n) = 1 / 1 - (0.6667) + 0.6667 / 1920

= 1 / 0.3333 + 0.00034723

= 1 / 0.333647239

= 2.99x

Therefore by Amdahl's law, there is a potential speed increase of 2.99x if this component were to be paralleled.