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THE MIRACLE OF PARALLEL PROCESSING The human brain is unique in nature in that it supports millions and millions of channels computing simultaneously. They are serviced by a large number of sensory inputs and deliver a large number of motor nerve outputs, all in parallel. The strength of a system like this is easily overlooked, since it operates effortlessly. How does one comprehend millions of little computers in parallel We humans are lucky to juggle two or three things at once. Mental activity is generally sequential: that is, one thing at a time. But memory searches are not sequential. Effectively, a human being can poll all memories in parallel and recall a particular episode from millions of events experienced long ago. This is a type of parallel processing. A style of man-made parallel processing known as associative memory works along these lines but on a much smaller scale. Associative memory nds items not by addresses, but by attributes such as patterns in the data. Modern computers employ associative memory only to an extremely limited extent: for example, to quickly nd the most recent addresses

1. Open ab18-d.dwg from the DVD. 2. Save the file as ab18-04.dwg in your AutoCAD Bible folder. This is a portion of an electrical schematic, as shown in Figure 18.11. Object Snap should be on. Set running object snaps for Endpoint, Midpoint, Quadrant, and Intersection. 3. Choose Home tab Block panel Create. In the Name text box of the Block Definition dialog box, type hl switch. Make sure that the Specify On-screen check boxes in both the Base Point and Objects sections are checked. Choose Retain in the Objects section. Click OK.

When Excel calculates the value of a formula, it uses certain rules to determine the order in which the various parts of the formula are calculated. You need to understand these rules if you want your formulas to produce the desired results. Table 15-4 lists the Excel operator precedence. This table shows that exponentiation has the highest precedence (performed rst), and logical comparisons have the lowest precedence (performed last).

vectors, bik)of all the K users, in order to depict the effect the system's response on the of data vector of Equation 1216 The dimensions of the matrix are ( N Q W - 1) x K N Figure 128 shows an example of the matrix, A, for an N-bit long data burst For ease of representation, we assumed that the channel length, W, for each user is the same and that it remains constant throughout the data burst We have also assumed that the channel experiences slow fading and that the fading is almost constant across the data burst Therefore, the combined response vector for each transmitted symbolof user IC is represented by b(')), where b(k)= by)bF) = = b c ) Focusing our attention on Figure 12.

In this section, you ve learned how to create two different types of Spry regions: master and detail. But how do you link the two The standard method is to use an onClick event within the master region. Let s say that you have a master Spry region contained in a series of <div> tags with a couple of data columns, like this:

Concepts Business Modeler versus Functional Architect Main Modeling Constructs Modeling a Federation Partitioning the Business Space Functional Subcategories Identification Strategies Granularity Identification Evaluating a Business Component System Model Modeling the Processes Workflow Management Rule-Based Modeling Rapid Evolution Components as Finite State Machines Modeling the Entities Collaboration within a Business Component Trading Partners Contracts Price and Item Utility Business Components Address Book Zip Code Book Summary Endnotes

8, the elements in the j-th column of the matrix constitute the combined response vector that affects the j-th data symbol in the transmitted data vector d Therefore, columns j = 1 to N of matrix A correspond to symbols m = 1 to N of vector d, which are also the data symbols of user k = 1 The next N columns correspond to the next N symbols of data vector d, which are the data symbolsof user IC = 2 and so on C For user I , each successive response vector, b("),is placed at an offset of Q rows from the preceding vector, as shown in Figure 128 For example, the combined response vector in column 1 of matrix A is b(l) and it starts at row 1 of the matrix because that column corresponds to the first symbol of user IC = 1.