for Case 1 with respect to system size.Figure 13.15 Decomposing a Case 1 into four subsystems to apply the ASM algo...Figure 13.16 Percentage of execution time breakdown with respect to system s...Figure 13.17 Hierarchy of parallelism. τ, integration time step; t, sim...Figure 13.18 Estimation errors in GPU‐based ASM for Case 1 compared with PSS...Figure 13.19 Snapshot of estimation error for Case 1 at bus numbers 10, 11, ...Figure 13.20 Percentage of time used for various steps in GPU‐based ASM.Figure 13.21 Execution time (TEx) and speedup (Sp) comparisons of multithrea...13 Chapter 14Figure 14.1 The working principle of Gauss–Newton method: (a) honest and (b)...Figure 14.2 Two major ways of convergence of the dishonest method on a linea...Figure 14.3 Simplified structure of a GPU.Figure 14.4 Accuracy of the dishonest Gauss–Newton method compared with the ...Figure 14.5 Accuracy of the dishonest Gauss–Newton method compared with the ...Figure 14.6 The accuracy of the estimator under different level of noise [11...Figure 14.7 The norm of the residue of the estimated values under different ...Figure 14.8 Parallel multiplication of a matrix and a vector [11].Figure 14.9 Parallel addition of 16 numbers [12].Figure 14.10 Required time for different number of iterations. Though it gro...Figure 14.11 The process of exchange and update of the CCN.Figure 14.12 The cellular dishonest method.Figure 14.13 The actual and the estimated value of the cellular dishonest me...
Guide
1 Cover
2 Table of Contents
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