A Game-Theoretic Approach for Run-Time Distributed Optimization on MP-SoC

<table>Convergence speed
distribution from 4 to 100 processors with <svg height="18.1" id="M119" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 57.762501 18.1" width="57.762501" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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q-8 -44 -8 -58q0 -77 68 -77q31 0 60 33.5t39 77.5l62 260l75 16l5 -6l-63 -246q-8 -29 -8 -58q0 -77 68 -77q66 0 116 75.5t50 194.5q0 43 -12 57q-11 12 -11 24q0 19 15 35.5t34 16.5q18 0 30.5 -34.5t12.5 -81.5z" id="x1D464"></path></g>
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</svg>.
The mean and standard deviations are indicated.</table>

International Journal of Reconfigurable Computing

fig4

Figure 4

Figure 4: A Game-Theoretic Approach for Run-Time Distributed Optimization on MP-SoC 