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schedule (static [,chunk]) The iteration space is divided into blocks of size chunk If chunk is omitted, then the block size is selected to provide one approximately equal sized block per thread The blocks are dealt out to the threads that make up a team in a round robin fashion For example, a chunk size of 2 for 3 threads and 12 iterations will create 6 blocks containing iterations (0,1), (2,3), (4,5), (6,7), (8,9), and (10,11) and assign them to threads as [(0,1), (6,7)] to one thread, [(2,3), (8,9)] to another thread and [(4,5), (10,11)] to the last thread schedule (dynamic [chunk]) The iteration space is divided into blocks of size chunk If chunk is omitted, the block size is set to 1 Each thread is initially given one block of iterations to work with The remaining blocks are placed in a queue When a thread finishes with its current block, it pulls the next block of iterations that need to be computed off the queue This continues until all the iterations have been computed schedule (guided [chunk]) This is a variation of the dynamic schedule optimized to decrease scheduling overhead As with dynamic scheduling, the loop iterations are divided into blocks, and each thread is assigned one block initially and then receives an additional block when it finishes the current one The difference is the size of the blocks: The size of the first block is implementation dependent, but large; block size is decreased rapidly for subsequent blocks, down to the value specified by chunk This method has the benefits of the dynamic schedule, but by starting with large block sizes, the number of scheduling decisions at runtime, and hence the parallel overhead, is greatly reduced schedule (runtime) The runtime schedule stipulates that the actual schedule and chunk size for the loop is to be taken from the value of the environment variable OMP_SCHEDULE This lets a programmer try different schedules without having to recompile for each trial.

This process is no different from the process of compiling a non activatable server, described in 77

The ListBox element is a powerful widget that enables you to create various types of selection menus Types include the following:

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Consider the loop based program in Fig A13 Because the schedule clause is the same for both Fortran and C, we will only consider the case for C If the runtime associated with different loop iterations changes unpredictably as the program runs, a static schedule is probably not going to be effective We will therefore use the dynamic schedule Scheduling overhead is a serious problem, however, so to minimize the number of scheduling decisions, we will start with a block size of 10 iterations per scheduling decision There are no firm rules, however, and OpenMP programmers usually experiment with a range of schedules and chunk sizes until the optimum values are found For example, parallel loops in programs such as the one in Fig A13 can also be effectively scheduled with a static schedule as long as the chunk size is small enough that work is equally distributed among threads

user may select one and only one option This is shown in Figure 222 Figure 222 A check box version of ListBox

The only run time setup required for activatable servers is to ensure that the activation daemon rmid is running, and perhaps to bind the activatable stub(s) into the RMI registry You can accomplish the latter by a variant of the registry load program described in 6 1081 Codebase and activat ion You must specify a codebase at least once, perhaps twice, when setting up activatable servers:

NUMBERED_LIST A list of choices, each choice preceded by a number, starting from 1 CHOICE A standard options menu choice list MULTIPLE_SELECT The user may select numerous items Clicking on a item once

Figure A13 Parallel version of the program in Fig A11, modified to show the use of the schedule clause #include <stdioh> #include <omph> #define N 1000

select numerous items When an item is selected, its check box will be filled in (see Figure 222) For example

when registering activatable servers with the activation system, so that it can create instances of activatable servers when binding an activatable server into the registry, if you use this technique, so that the registry will locate the stub classes correctly

extern void combine(double,double); extern double big_comp(int); int main() { int i; double answer, res; answer = 00; #pragma omp parallel for private(res) schedule(dynamic,10) for (i=O;i<N;i++){ res = big_comp(i); #pragma omp critical combine(answer,res); } printf("%f\n", answer); }

ListBox lb = new ListBox(ListBoxRADIO_BUTTON); String items[] = new String[3]; items[0] = "Choice 1"; items[1] = "Choice 2"; items[2] = "Choice 3"; lbsetItems(items); add(lb);

This enables you to create a scrolling text ticker, similar to the news tickertape in Times Square The ticker will usually appear at the very top (or bottom) of the screen To create the ticker you could use code similar to the following:

This discussion has addressed only the features of OpenMP used in this book Although we have covered the most commonly used constructs in OpenMP, a programmer interested in working with the OpenMP language should obtain the complete specification [OMP] The definition of the full API is only 50 pages of text The specification also includes more than 25 pages of examples A book about the language is available [CDK+00], and a description of the abstractions behind OpenMP and some ideas about future directions are presented in [MatOS] There is a growing body of literature about OpenMP; many OpenMP applications are described in the proceedings of the various OpenMP workshops [VJKT00, EV01, EWO01]

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