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Since packets of many users may depart from the same outgoing interface, packet scheduling also enforces a set of rules in sharing the link bandwidth For example, if a user is given the highest priority to access the link, hisrher packets can always go first while packets from others will be delayed; and this privileged user can have hisrher packets marked through some traffic access control algorithm when they enter the network In other words, packet scheduling prioritizes a user s traffic in two categories: delay priority for real-time traffic and loss priority for data-type traffic One major concern is how to ensure that the link bandwidth is fairly shared between connections and to protect the individual user s share from being corrupted by malicious users ie, put a firewall between connections. In this respect, PFQ is very promising.

Personalization with themes is in many ways similar to what you have learned about customizing a site s language.

Fig. 14-9 Dose equivalent rate (mrem/h) for unit intensity (n/cm2 s) for 2 MeV neutrons (lower curve) and 14 MeV neutrons (upper curve) versus thickness of concrete shielding. (Adapted from Clark et al. (1966), based on a quality factor of 10.)

Enter image clipping option [ON/OFF/Delete/New boundary] <New>: Enter clipping type [Polygonal/Rectangular] <Rectangular>: Specify first corner point: If OSNAP is on, turn it off. Pick 1 in Figure 27-8. Specify opposite corner point: Pick 2.

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Almost all types of detection permit a system s sensitivity to be increased or decreased during an inspection process. If the system s sensitivity is increased, as in an airport metal detector, the system becomes increasingly selective and has a higher FRR. Conversely, if the sensitivity is decreased, the FAR will increase. Thus, to have a valid measure of the system performance, the CER is used.

4 introduces various kinds of scheduling algorithms, including the PFQ family, targeted at different goals..

Figure 16-32: The parallel lines at the bottom of the site plan can be drawn by using a multiline. 3. Choose Format Multiline Style to open the Multiline Style dialog box. Click New. In the text box, type siteplan. Choose Continue. 4. In the Elements section of the dialog box, the top element should be highlighted. Change the offset to 0, the color to black (it may list as white), and the linetype to DASHDOT. 5. Highlight the second element. Change the offset to 132 (11' 12"), the color to magenta, and the linetype to continuous. 6. Click Add. Change the offset to 180 (15' 12"), the color to red, and the linetype to center. 7. Click Add. Change the offset to 228 (19' 12"), the color to magenta, and the linetype to continuous.

These inputs and outputs are speci ed for each patch in a structured, possibly AMR, grid. Associated with each task is a C++ method that is used to perform the actual computation. A task graph representation by itself works well for coupling of multiple computational algorithms, but presents challenges for achieving scalability. A task graph that represents all communication in the problem would require time proportional to the number of computational elements to create. Creating this on a single processor, or on all processors would eventually result in a bottleneck. Uintah addresses this problem by introducing the concept of a tensor product task graph. Uintah components specify tasks for the algorithmic steps only, which are independent of problem size or number of processors. Each task in the task graph is then implicitly repeated on a portion of patches in the decomposed domain. The resulting graph, or tensor product task graph, is created collectively; each processor contains only the tasks that it owns and those that it communicates with. The graph exists only as a whole across all computational elements, resulting in a scalable representation of the graph. Communication requirements between tasks are also speci ed implicitly through a simple dependency algebra. Each execution of a task graph integrates a single timestep, or a single-nonlinear iteration, or some other coarse algorithm step. A portion of the MPM timestep graph is shown in Figure 10.3. Task graphs may be assembled recursively, with a typical Uintah simulation containing one for time integration and one for nonlinear integration. An AMR simulation may contain several more for implementing time subcycling and re nement/coarsening operators on the AMR grid.

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