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Figure A8 C program to carry out a trapezoid rule integration to compute (here comes equation)

user home directory is loaded into a Properties objectThe Access Key ID and the Secret Access Key are retrieved and then used to initialize the SimpleDB client library The final member of the AdminTool class is the constructor that subclasses will use to store the target domain name

RMI is a Java technology that allows one JVM to communicate with another JVM and have it execute an object method Objects can invoke methods on other objects located remotely as easily as if they were on the local host machine (once a few initialization tasks have been performed) Figure 11-1 provides an example of this process, whereby an object running on one JVM invokes a method of an object hosted by another Communication like this does not have to be a one-way process, either a remote object method can return data as well as accept it as a parameter Figure 11-1 Invocation of a method on a remote object, executing on a remote machine

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#include <omph> #include <stdioh> #define N 1000 extern double big_computation(int, int); extern void consume_results(int, double, double *); int main() { double global_result[N]; #pragma omp parallel shared (global_result) { double local_result; int I; int ID = omp_get_thread_num(); // set a thread ID #pragma omp for for(i=0;i<N;i++){ local_result = big_computation(ID, i); // carry out the UE's work #pragma omp critical { consume_results(ID, local_result, global_result); } } } return 0; }

Each RMI service is defined by an interface, which describes object methods that can be executed remotely This interface must be shared by all developers who will write software for that service it acts as a blueprint for applications that will use and provide implementations of the service More than one implementation of the interface can be created, and developers do not need to be aware of which implementation is being used or where it is located

Now that the base class has handled all the application setup, all that remains in each subclass is the specific tool operationThe ListingTool class shown in Listing 2-2 gives a first, but brief, look at coding with a SimpleDB client library

In OpenMP, mutual exclusion is most easily accomplished using a construct called critical section An example of using the critical section construct for OpenMP is shown in Fig 66 In this program, a team of threads is created to cooperatively carry out a series of N calls to big_computation() The pragma

Object method invocation is not a new concept Even before object-oriented programming, technologies existed that allowed software to call functions and procedures remotely Systems such as remote procedure calls (RPCs) have been in use for years and continue to be used today A popular implementation of RPC was developed by Sun Microsystems and published as RFC 1057 (making obsolete an earlier version, published as RFC 1050) Remote procedure calls were designed as a platform-neutral way of communicating between applications, regardless of any operating system or language differences The difference between RPC and Java RMI is subtle Java is, after all, a platform-neutral language, and conceivably would allow Java applications to communicate with Java applications running on any hardware and operating system environment that supported a JVM The principal difference between the two goals is that RPC supports multiple languages, whereas RMI only supports applications written in Java NOTE With the introduction of the Java 2 Platform, Enterprise Edition, a new technology known as RMI over IIOP helps bridge the gap between RMI and CORBA systems This technology allows for translation between RMI services and CORBA services, via the Internet Inter-ORB Protocol (more detailed information on IIOP is provided in 12) In general practice, however, RMI is used primarily with Java-only systems

is the OpenMP construct that tells the compiler to distribute the iterations of the loop among a team of threads After big_computation() is complete, the results need to be combined into the global data structure that will hold the result While we don't show the code, assume the update within consume_results() can be done in any order, but the update by one thread must complete before another thread can execute an update The critical pragma accomplishes this for us The first thread to finish its big_computation() enters the enclosed block of code and calls consume_results() If a thread arrives at the top of the critical section block while another thread is processing the block, it waits until the prior thread is finished The critical section is an expensive synchronization operation Upon entry to a critical section, a

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