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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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253 Control Dependence In contrast to data dependence, control dependence is not caused by the transfer of data among tasks Control dependence relations describe the control structure of a program (Banerjee [14 Towle [189]) Consider the sequence of statements in Example 8 Example 8 1: if u = 2: v = 3: else 4: v = 5: x = 6: end if Control Dependence 0 then w w + 1 x - 1 Code Generator In NET Framework Using Barcode maker for ASP Related: Codabar Generating NET WinForms , Create EAN-8 NET , Generate PDF417 ASPNET.

please look at the examples provided in . Create the new barcode object IDAutomation. Windows . Forms.LinearBarCode.Barcode = New Barcode() NewBarcode.DataToEncode .Related: 

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int _tmain (DWORD argc, LPTSTR argv []) { INT tstatus, nthread, ithread; HANDLE *worker_t, hMutex; unsigned int * task_count, tasks_per_thread; THARG * thread_arg; /* Create the mutex */ hMutex = CreateMutex (NULL, FALSE, NULL); nthread = _ttoi (argv [1]); tasks_per_thread = _ttoi (argv [2]); worker_t = malloc (nthread * sizeof (HANDLE)); task_count = calloc (nthread, sizeof (unsigned int)); thread_arg = calloc (nthread, sizeof (THARG)); for (ithread = 0; ithread < nthread; ithread++) { /* Fill in the thread arg */ thread_arg [ithread]thread_number = ithread; thread_arg [ithread]tasks_to_complete = tasks_per_thread; thread_arg [ithread]tasks_complete = &task_count [ithread]; thread_arg [ithread]phMutex = &hMutex; worker_t [ithread] = (HANDLE)_beginthreadex (NULL, 0, worker, &thread_arg [ithread], 0, &ThId); } /* Wait for the threads to complete */ WaitForMultipleObjects (nthread, worker_t, TRUE, INFINITE); free (worker_t); printf ("Worker threads have terminated\n"); for (ithread = 0; ithread < nthread; ithread++) { _tprintf (_T ("Tasks completed by thread %5d: %6d\n"), ithread, task_count [ ithread]); } return 0; free (task_count); free (thread_arg); } DWORD INAPI worker (void *arg) { THARG * thread_arg; int ithread; thread_arg = (THARG *) arg; ithread = thread_arg->thread_number; while (*thread_arg->tasks_complete < thread_arg->tasks_to_complete) { delay_cpu (DELAY_COUNT); WaitForSingleObject (*(thread_arg->phMutex), INFINITE); (*thread_arg->tasks_complete)+.

ISH, see Insertion scheduling heuristic Iteration, 32, 57, 64 number of, 58, 68 space, 55 Iteration dependence graph, 53 55 computer representation, 55 dimension, 53, 66 ranularity, 55 irregular, 53 projection, 66 regular, 54 to ow graph, 66 Iteration-driven execution model, 57 Iterative block, 27 kernel, 64 Iterative data- ow program, 61 Iterative task graph (ITG), 61 KNAPSACK, 89 LAN (local area network), 37, 195 Latency, 12, 199 Leaf node, 20 Level bound, 97 Linear algebra, 27 Link, 13, 190, 196 directed, 193, 196 heterogeneous, 207 multidirectional, 196 Link set, 196 List scheduling, 108 119 clustering, see Clustering, list scheduling contention aware, 216, 218 220 complexity, 219 example, 218 dynamic priorities, 114 115 complexity, 114 115 example, 111 involvement-contention, 257, 261 complexity, 261 example, 259 with processor allocation, 262 node insertion, 148 149 complexity, 149 simple, 108 complexity, 112 with processor allocation, 119 involvement-contention, 262 Load balance, 180 Load balancing, 139 LogGP, 237. Making Barcode In .NET Using Barcode maker for .NET .Related: Generate PDF417 Word , Create EAN-8 VB.NET , Intelligent Mail Generator .NET WinForms

Some examples: . So it may be required that you create the barcode control with a much bigger font size than you would normally use. .Related: 

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For a small number of threads (4 or fewer), the NS (no synchronization), IN (interlocked functions), and CS (CRITICAL_SECTION) programs all require about the same amount of time The CS version can be marginally (1020 percent) slower, showing a typical synchronization slowdown The MX (mutex) version, however, requires two to three times as long to execute CS performance does not always scale with the number of threads on a single-processor system when the number of threads is 5 or more Results vary from one NT5 system to another but appear to be consistent on a given system On some systems, elapsed times double at each step using 1, 2, 4, threads, but in one case (Windows 2000, 1GHz, Pentium laptop) the times, in seconds, were 05, 10, 20, 40, 149, 160, 321, and 3634; in another (Windows 2000, 50 MHz, Pentium desktop), they were 12, 23, 47, 93, 427, 1013, 2078, and 12125 The breaks usually occur after 4 or 8 threads, but performance is acceptable until 128 threads MX performance is slower than CS on a single processor, with ratios varying from 2:1 to 10:1, depending on the system Performance on an SMP system can be very poor, by a factor of 10:1 or even 100:1 Intuitively, we would expect better performance with multiple rocessors, but the internal implementation means that the processors are contending for locks and memory access, which explains why the MX and CS results are nearly equivalent Tuning the CS spin count can help, as described in a later section A semaphore can be used to limit the number of ready worker threads without changing the basic programming model This technique is the subject of a later section in this chapter.

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Name the new column Barcode. Add a reference to the KeepAutomationBarcodeLibrary. dll. Right click on the ReportsApplication in the Solutions Browser. .Related: Barcode Printing RDLC , Make Barcode Excel , Generate Barcode C#

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3. Copy the sample code into the method Form1_Load; 4. Add the generator DLL to project reference; 5. Using "KeepAutomation.barcode" namespace, then run the .Related: SSRS Barcode Generator , Crystal Barcode Generator , Print Barcode ASP.NET how to

A huge number of companies offer application developers ads to publish inside their application canvas pagesThese ads can either be from external advertisers or from other Facebook applications Each works to acquire an inventory of advertisers, so all a developer needs to do is add a few HTML tags onto his canvas pages to display them It is best to try to integrate ads from the beginning of the application s design process If you develop a user base with an ad-free application, and hen try to monetize the application using ads, you might experience heated resistance Figure 1511 shows a typical banner ad for another application.

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In "Choose Toolbox Items" form, click button "Browse..", and select KeepAutomation.Barcode.", and select KeepAutomation.Barcode.Windows.dll. . Copy the following C#, VB.NET barcode printing syntax into program to produce .Related: Generate Barcode .NET Winforms C# , Generate Barcode Word SDK, Barcode Generator .NET

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In "Choose Toolbox Items" form, click button "Browse..", and select KeepAutomation.Barcode.", and select KeepAutomation.Barcode.Windows.dll. . How to generate barcode with solutions /h3>. Copy the sample code below to your program for displaying Df-417 in WinForms:.Related: Excel Barcode Generator Library, ASP.NET Barcode Generating , Create Barcode VB.NET Winforms

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