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Figure 10-30: A mechanical drawing showing a small section of a porcupine mixer. 5. At the Select first line or [Undo/Polyline/Distance/Angle/Trim/Method/ mUltiple]: prompt, pick 3 in Figure 10-30. At the Select second line: prompt, pick 4. The command chamfers the two lines, as shown in Figure 10-31. 6. Save your drawing.

authenticates the user and authorizes it for certain tasks. The accounting data is useful for reporting, billing (if the user is billed for the session time), and for later audit of activities.

Click Apply & Close to return to the User Preferences tab of the Options dialog box. Click the Edit Scale List button to open the Edit Scale list dialog box. Here you can customize the list of scales so that you always have the scales that you need (and don t have the scales that you never use). I discuss the scale list in 5. In the Priority for Coordinate Data Entry section, you specify which has priority: running object snaps or keyboard entry. By default, keyboard entry has priority except in scripts, and so you can use running object snaps when picking points on the screen, but override them when you want to type in coordinates. In the Associative Dimensioning section, choose whether you want new dimensions to be associative, and thus automatically adjusting as their associated objects change size. In the Hyperlink section, you can disable the hyperlink cursor (which appears when you pass the cursor over a hyperlink) and the hyperlink shortcut menu, as well as the hyperlink tooltip that appears when you pass the cursor over a hyperlink.

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PART uses simulated annealing to partition the mesh. Figure 16.6 shows the serial version of the simulated annealing algorithm. This algorithm uses the Metropolis criteria (line 8 13 in Figure 16.6) to accept or reject moves. The moves that reduce the cost function are accepted; the moves that increase the cost function may be accepted with probability e E/T , thereby avoiding being trapped in local minima. This probability decreases when the temperature is lowered. Simulated Annealing is computationally intensive; therefore, a parallel version of simulated annealing is used with PART. There are three major classes of parallel simulated annealing [20]: serial-like [29, 37], parallel moves [1], and multiple Markov chains [4, 22, 31]. Serial-like algorithms essentially break up each move into subtasks and parallelize the subtasks (parallelizing lines 6 and 7 in Figure 16.6). For the parallel moves algorithms, each processor generates and evaluates moves independently; cost function calculation may be inaccurate since processors are not aware of moves by other processors. Periodic updates are normally used to address the effect of cost function error. Parallel moves algorithms essentially parallelize the loop in Figure 16.6 (line 5 14). For the multiple Markov chains algorithm, multiple simulated annealing processes are started on various processors with different random seeds. Processors periodically exchange solutions and the best is selected and given to all the processors to continue their annealing processes. In Ref. [4], the multiple Markov chain approach was shown to be most effective for VLSI cell placement. For this reason, PART uses the multiple Markov chain approach.

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