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QR Code Drawer In Visual Studio .NET Using Barcode creation .Related: Barcode Generation ASP.NET Library, Barcode Generation Crystal SDK, Crystal Barcode Generator Algorithm 10 displays the procedure for this processor choice and the subsequent scheduling of the free node n on Pmin This procedure is an implementation of lines 5 and 6 of the simple list scheduling (Algorithm 9) Algorithm 10 Start Time Minimization: Schedule Free Node n on Earliest-StartTime Processor Require: n is a free node tmin ; Pmin NULL for each P P do if tmin > max{tdr (n, P), tf (P)} then tmin max{tdr (n, P), tf (P)}; Pmin P end if end for ts (n) tmin ; proc(n) Pmin In the literature, list scheduling usually implies the above start time minimization method Many algorithms have been proposed for this kind of list scheduling (Adam et al [2], Coffman and Graham [38], Graham [80], Hu [93], Kasahara and Nartia [102], Lee et al [117], Liu et al [128], Wu and Gajski [207], Yang and Gerasoulis [210]) Some of these publications, especially the earlier ones, are based on restricted scheduling problems as discussed in Section 64 An Example To illustrate, simple list scheduling with tart time minimization is applied to the sample task graph (eg, in Figure 41) and three processors Suppose the rst part of list scheduling established the node order a, b, c, d, e, f , g, i, h, j, k Figure 51 visualizes the scheduling process described in the following. 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In Visual Studio .NET Using Barcode maker for .NET .Related: Barcode Generator ASP.NET how to, .NET Winforms Barcode Generating , Creating Barcode ASP.NET length is 3k (Figure 52(c)) For any C a k with k > 1, k > C can be chosen so that sl(S) = 3k > 3C = C sl(Sopt ) In particular, list scheduling with start time minimization does not even guarantee a schedule length shorter than the sequential time of a task graph Still, numerous experiments have demonstrated that list scheduling produces good schedules for task graphs with low to medium communication (eg, Khan et al [103], Kwok and Ahmad [111], Sinnen and Sousa [177]) 512 With Dynamic Priorities The simple list scheduling outlined in Algorithm 9 establishes the schedule order of the nodes before the actual scheduling process During the node scheduling in the second part, this order remains unaltered, so the node priorities are static To achieve better schedules, it might be bene cial to consider the state of the partial schedule in the schedule order of the nodes Changing the order of the nodes is equivalent to changing their priorities, hence the node priorities are dynamic It remains that the node order must be compatible with the precedence constraints of the task graph, which is obeyed if only free nodes are scheduled A list scheduling algorithm for dynamic node priorities is given in Algorithm 11 Algorithm 11 List Scheduling Dynamic Priorities (G = (V, E, w, c), P) 1: Put source nodes {ni V : pred(ni ) = } into set S 2: while S = do S only contains free nodes 3: Calculate priorities for nodes ni S 4: Choose a node n from S; S S n 5: Choose a processor P for n 6: Schedule n on P 7: S S {ni succ(n) : pred(ni ) Scur } 8: end while Instead of iterating over the node list, Algorithm 11 calculates in each step the priority of all free nodes and only then selects a node and a processor for scheduling After the scheduling of node n, the set S of free nodes is updated with the nodes that became free by the scheduling of n (line 7) Obviously, this approach has higher complexity in general than the simple list scheduling presented in Algorithm 9, because the priority of every node is determined several times Algorithm 11 is a generalization of the simple list scheduling, which becomes apparent by considering line 3 If this line is moved to the beginning of the algorithm and the priorities are calculated for all nodes, not only for the free nodes, the simple list scheduling is btained This becomes even more distinct in Section 513, where the construction of node lists is explained Choosing Node Processor Pair Some algorithms dynamically compute the priorities of the free nodes by evaluating the start time (see Eq (51)) for every free. . The LoadProductIDs routine submits a SELECT statement and uses a DataReader object to process all the rows retrieved by that SELECT statement Note that the properties of the SqlCeCommand object must be initialized before a DataReader object can be created Because the reader is not positioned to the first row when created, the Read method must be called at the start of the iterative loop, not at the end of the loop In general, this makes for cleaner code and is a definite improvement over past ADO classes The LoadOneProduct routine uses the Seek method followed by the Read method to retrieve a single row from the database Note also that a call to the Read method must follow the call to the Seek method Without this call to the Read method, no row would be in the reader Although there would be no row in the reader if the Read method call were missing, no exception would be raised From ADONET s point of view, nothing has gone wrong; you simply have an empty reader As you can see from the output shown earlier in Figure 612, all the columns came from the Products table, a built-in limitation of the Seek method Listing 67 shows an alternative version of the LoadOneProduct method It uses a WHERE clause rather than a Seek method index to specify the desired product As the output in Figure 613 shows, this alternative version of the LoadOneProduct method can gather fields from more than one table, resulting in the more informative CategoryName field associated with each product, rather than the less informative CategoryID field However, as entioned earlier, this version of the method executes more slowly. 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