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Double Loops Loop Nests The next logical step in dependence analysis of loops is to extend the described concepts to double and multiple nested loops Example 7 displays a double loop over the indices i and j, containing the two statements, or tasks, S and T in the kernel Example 7 Double Loop for i = 0 to 5 do for j = 0 to 5 do S: A(i+1,j) = B(i,j) + C(i,j) T: B(i+1,j+1) = A(i,j) + 1 end for end for Suitable for the double loop, the arrays used in the tasks are two dimensional, whereby the index variable i of the outer loop is used only in the subscripts of the arrays rst dimension and the index variable j only in the subscripts of the second dimension While this is common practice in nested loops, it is neither a guaranteed nor a necessary condition for the dependence analysis in nested loops The arrays, for example, might only have one dimension, and the subscripts might be functions of more than one index variable Relevant for a dependence relation is only the reference of two different tasks to the same array element What the index variable is to the single loop is now, in a straightforward generalization, an index vector of two dimensions An instance of the double loop kernel (ie, an iteration) is determined by the two corresponding values of the index variables i and j Also, an instance of one of the tasks S and T is denoted by S(i, j) and T(i, j), respectively The extension to a more general nest of loops follows a similar pattern every loop simply contributes one dimension to the index vector In the same way, the index variable of a single loop can be treated as an index vector of one dimension By examining he tasks of the loop in Example 7, it becomes apparent that instance S(i + 1, j + 1) depends on instance T(i, j), caused by the references to the elements of array B, and instance T(i + 1, j) depends on S(i, j), caused by the references to the elements of array A As a logical consequence of the generalization from the index variable to an index vector, the dependence distance is also expressed as a distance vector For the identi ed dependence relations in Example 7, the distance vectors are (1, 1), for S(i + 1, j + 1) depending on T(i, j), and (1, 0), for T(i + 1, j) depending on S(i, j) So there are two uniform dependences, as the distance vector is constant for every dependence The determination of the dependence relations and the distance vectors for the loops in Example 5 and Example 7 are relatively simple In real programs, however, various circumstances can make dependence analysis more complicated and time consuming Sometimes it might even be impossible to determine the dependence relation of a program: for example, when a subscript of an array, which is read and written in various tasks, is a function of an input variable of the program In that case, the dependence relations can only be established at runtime A conservative approach,.

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client component which was dependent on the original version of the library is not affected by the addition of a function to the end of the export list of the library Thus the change can be said to be binary-compatible and backward-compatible (as well as source-compatible) However, if the addition of a new function to the class causes the ordinals of the exported functions to be reordered, the change is not binary-compatible, although it continues to be source-compatible Dependent code must be recompiled, because otherwise it would use the original, now invalid, ordinal numbers to identify the exports Of course, when we discuss the need for compatibility, this is with relation to the API which has been published to external components You may make as many nternally-incompatible changes to your code as you need to, since it is only your components that are affected The restrictions I ll discuss in the rest of this chapter apply to changes which affect published, public APIs Let s move on to consider some of the practical aspects of code, to help you understand the kind of source code changes that can affect compatibility I ll list some guidelines about which code changes do and do not affect the binary layout at a class or DLL level These derive from an understanding of the way a compiler interprets the C++ standard It is only by deriving a set of rules in this way that we can be con dent as to which changes can be safely applied without breaking dependent code Many of the following guidelines are based on whether class methods or member data are visible to dependent code This assumes that calling code gains visibility through legitimate means, that is, through exported header les, using standard object-oriented C++ to access and manipulate the methods and data encapsulated in C++ objects.

Contents Setting Attainable Goals Exploring Alternatives Setting Priorities In Real Life A Glimpse into Giant Company Insight from Agile, Inc Summary Part Three 7 Dealing with the Data Modeling the Data for your Business The Purpose of Dimensional Models Ease of Use Query Performance Understanding Your Data What Is a Dimensional Model Dimensions Facts Using Both Parts of the Model Implementing a Dimensional Model Diagramming Your Dimensional Model The Business Dimensional Model Business Dimensions Fact Groups A Call Center Case Study Call Center Dimensions Date Dimension Time Dimension Customer Dimension Employee Dimension Call Dimension Call Outcome Dimension Employee Task Dimension Call Center Fact Groups Calls Fact Group Call Center Time Tracking Fact Group Call Forecast Fact Group Working with the Model Business Dimensional Model Index Enterprise Considerations Conformed Dimensions Conformed Facts Practical Guidelines Guidelines for a Single Dimension 166 167 68 170 170 170 171 173 175 176 176 177 177 178 178 180 180 181 182 182 183 184 186 187 187 187 189 191 191 194 195 196 196 196 198 199 200 200 200 202 202 202. 12 In VS .NET Using Barcode generation for . Contents. Encode Leitcode In Visual Studio .NET Using .Related: Codabar Generation Excel , Print EAN-13 Java , Generate Code 39 Excel

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