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The value passed outside the loop because of the lastprivate clause is the value of k for whichever thread executed the sequentially last iteration of the loop (that is, the iteration for which i = 999) The values of both h and j are undefined, but for different reasons The variable j is undefined because it was assigned the value from a sum with an uninitialized variable (h) inside the parallel loop The problem with the variable h is more subtle It was declared as a private variable, but its value was unchanged inside the parallel loop OpenMP stipulates, however, that after a name appears in any of the private clauses, the variable associated with that name in the region of code following the OpenMP construct is undefined Hence, the print statement following the parallel for does not have a well defined value of h to print A few other clauses affect the way variables are shared, but we do not use them in this book and hence will not discuss them here The final clause we will discuss that affects how data is shared is the reduction clause Reductions were discussed at length in the Implementation Mechanisms design space A reduction is an operation that, using a binary, associative operator, combines a set of values into a single value Reductions are very common and are included in most parallel programming environments In OpenMP, the reduction clause defines a list of variable names and a binary operator For each name in the list, a private variable is created and initialized with the value of the identity element for the binary operator (for example, zero for addition) Each thread carries out the reduction into its copy of the local variable associated with each name in the list At the end of the construct containing the reduction clause, the local values are combined with the associated value prior to the OpenMP construct in question to define a single value This value is assigned to the variable with the same name in the region following the OpenMP construct containing the reduction An example of a reduction was given in Fig A8 In the example, the reduction clause was applied with the + operator to compute a summation and leave the result in the variable sum Although the most common reduction involves summation, OpenMP also supports reductions in Fortran for the operators +, *, -, AND, OR, EQV, NEQV, MAX, MIN, IAND, IOR, and IEOR In C and C++, OpenMP supports reduction with the standard C/C++ operators *, -, &, |, ^, &&, and || C and C++ do not include a number of useful intrinsic functions such as "min" or "max" within the language definition Hence, OpenMP cannot provide reductions in such cases; if.

The call to the client method domainMetadata() returns a map of metadata entry names to numeric valuesAmazon serves the DomainMetadata operation values from a cache and not necessarily from a fresh computation at the time of the callThe data provides a recent picture of the domain s state typically from within the past 24 hoursThe timestamp entry tells you the cache time for this domain s metadata values MetadataTool uses the timestamp to calculate the metadata s age in hours There are three remaining dimensions of your domain described by the metadata: items, attribute names, and attribute values For each of these is both a count that is given and storage size in bytes MetadataTool pulls each of these values from the map, calculates the percentage of storage capacity in use, and then prints it all out to the console with some formatting

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import javautil*; import javarmi*; import javarmiserver*; // 11, Listing 7 public class TemperatureSensorServer extends UnicastRemoteObject implements TemperatureSensor, Runnable { private volatile double temp; private Vector list = new Vector(); public TemperatureSensorServer() throws javarmiRemoteException { // Assign a default setting for the temperature temp = 980; } public double getTemperature() throws javarmiRemoteException { return temp; } public void addTemperatureListener ( TemperatureListener listener ) throws javarmiRemoteException { Systemoutprintln ("adding listener -" + listener); listadd (listener); } public void removeTemperatureListener ( TemperatureListener listener ) throws javarmiRemoteException { Systemoutprintln ("removing listener -" + listener); listremove (listener); } public void run() { Random r = new Random(); for (;;) { try { // Sleep for a random amount of time int duration = rnextInt() % 10000 + 2000; // Check to see if negative, if so, reverse if (duration < 0) duration = duration * -1; Threadsleep(duration); } catch (InterruptedException ie) {

they are required, the programmer must code them explicitly by hand More details about reduction in OpenMP are given in the OpenMP specification [OMP]

// Get a number, to see if temp goes up or down int num = rnextInt();

Before you can compile and run the tool, you ll need to have the Java Development Kit (JDK) 16 or later installedThe classpath also needs to be set so that it can find the SimpleDB client code imported by the toolYou can compile these five source files from the 2 source code directory and set the classpath with the following command:

As much as possible, the syntax of OpenMP is expressed through compiler directives Certain features of the language, however, can only be handled with runtime library functions Of the functions within the runtime library, the most commonly used functions are the following

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