Cube GUI User Guide  (CubeGUI 4.6-rc1, revision cfc8481d)
Introduction in Cube GUI and its usage

$PE=\frac{agv(t_{comp})}{max(t_{runtime})}$

Parallel Efficiency

$PE=\frac{agv(t_{comp})}{max(t_{runtime})}$

Parallel Efficiency (PE) reveals the inefficiency in processes and threads utilization. These are measured with Process Efficiency and Thread Efficiency, and PE can be computed directly or as a product of these two sub-metrics:

PE = avg( computation time ) / max( runtime ) = Process Efficiency * Thread Efficiency

\[ |I_2|=\left| \int_{0}^T \psi(t) \left\{ u(a,t)- \int_{\gamma(t)}^a \frac{d\theta}{k(\theta,t)} \int_{a}^\theta c(\xi)u_t(\xi,t)\,d\xi \right\} dt \right| \]

\begin{eqnarray*} g &=& \frac{Gm_2}{r^2} \\ &=& \frac{(6.673 \times 10^{-11}\,\mbox{m}^3\,\mbox{kg}^{-1}\, \mbox{s}^{-2})(5.9736 \times 10^{24}\,\mbox{kg})}{(6371.01\,\mbox{km})^2} \\ &=& 9.82066032\,\mbox{m/s}^2 \end{eqnarray*}


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