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111125 Running the Callback Example When developing an RMI callback system, both parties (listener and event source) will act as servers and as clients This means that both parties need to have a copy of the class definitions, or access to a Web server if dynamic class loading is needed NOTE

libraries be thread safe Which thread prints its record when, however, is not specified, and any valid interleaving of the output records can occur

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To use dynamic class loading, class files must be copied to a Web server, which must be specified as a command-line parameter (see Section 11101), and a security manager must be installed by uncommenting the line

where AdminTooljar is the name of your jar fileYou can learn more about jar files from the Java website: http://javasuncom/docs/books/tutorial/deployment/jar/

//SystemsetSecurityManager ( new RMISecurityManager() );

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Many OpenMP programs can be written using only the parallel and parallel for (parallel do in Fortran) constructs There are algorithms, however, where one needs more careful control over how variables are shared When multiple threads read and write shared data, the programmer must ensure that the threads do not interfere with each other, so that the program returns the same results regardless of how the threads are scheduled This is of critical importance since as a multithreaded program runs, any semantically allowed interleaving of the instructions could actually occur Hence, the programmer must manage reads and writes to shared variables to ensure that threads read the correct value and that multiple threads do not try to write to a variable at the same time Synchronization is the process of managing shared resources so that reads and writes occur in the correct order regardless of how the threads are scheduled The concepts behind synchronization are discussed in detail in the section on synchronization (Section 63) in the Implementation Mechanisms design space Our focus here will be on the syntax and use of synchronization in OpenMP Consider the loop based program in Fig A5 earlier in this chapter We used this example to introduce worksharing in OpenMP, at which time we assumed the combination of the computed results (res) did not take much time and had to occur in the sequential order Hence, it was no problem to store intermediate results in a shared array and later (within a serial region) combine the results into the final answer In the more common case, however, results of big_comp() can be accumulated in any order as long as the accumulations do not interfere To make things more interesting, we will assume that the combine() and big_comp() routines are both time consuming and take unpredictable and widely varying amounts of time to execute Hence, we need to bring the combine() function into the parallel region and use synchronization constructs to ensure that parallel calls to the combine() function do not interfere The major synchronization constructs in OpenMP are the following.

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The requirement for user authentication is a common one: It is necessary in any publicly facing web application or web serviceThere are many ways to provide methods of user password collection, and there are just as many alternatives for storing that data In many private intranet applications, there is a need to integrate with an existing authentication system, such as LDAP,Active Directory, or NTLM On the public Internet, relational database tables are a more likely choice In this section, you learn how to use SimpleDB as the data store for a user authentication service

The following steps should be performed, in order, to run the example 1 Compile the applications and generate stub/skeleton files for both TemperatureSensorServer and TemperatureSensorMonitor 2 Run the rmiregistry application 3 Run the TemperatureSensorServer 4 Run the TemperatureSensorMonitor When first connected, the monitor will display the current temperature It registers itself with the server and is notified of changes by a callback Terminating the client will cause it to be unregistered in the TemperatureSensorServer, when the sensor is unable to notify the client In addition, the callback will be unregistered if the server is unable to notify the client due to a network error

flush defines a synchronization point at which memory consistency is enforced This can be subtle Basically, a modern computer can hold values in registers or buffers that are not guaranteed to be consistent with the computer's memory at any given point Cache coherency protocols guarantee that all processors ultimately see a single address space, but they do not guarantee that memory references will be up to date and consistent at every point in time The syntax of flush is

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