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String pass = itemgetAttribute(PASS_NAME); String enabledString = itemgetAttribute(ENAB_NAME); boolean enabled = enabledStringequals("true"); User user = new User(username, pass, enabled, auth); return user; } private void setAuthorities(Item item) { if (!enableGroups) { itemgetAttributes(AUTH_NAMES); } List<String> groupNames = itemgetAttributes(GROUP_NAME); String query = buildGroupQuery(groupNames); sdbsingleAttributeSelect(query, AUTH_NAMES); } private String buildGroupQuery(List<String> groupNames) { String f = "SELECT `%s` FROM `%s` WHERE itemName() IN(%s)"; String groups = listToQueryString(groupNames); return Stringformat(f, AUTH_NAMES, domainName, groups); } private String listToQueryString(List<String> groupNames) { String result = ""; for (String group : groupNames) { result = result + "," + group; } return resultsubstring(1); } public boolean isEnableGroups() { return enableGroups; } public void setEnableGroups(boolean groups) { enableGroups = groups; } public String getDomainName() { return domainName; } public void setDomainName(String domainName) { thisdomainName = domainName; }

MPI was created in the early 1990s to provide a common message passing environment that could run on clusters, MPPs, and even shared memory machines MPI is distributed in the form of a library, and the official specification defines bindings for C and Fortran, although bindings for other languages have been defined as well The overwhelming majority of MPI programmers today use MPI version 11 (released in 1995) The specification of an enhanced version, MPI 20, with parallel I/O, dynamic process management, one sided communication, and other advanced features was released in 1997 Unfortunately, it was such a complex addition to the standard that at the time this is being written (more than six years after the standard was defined), only a handful of MPI implementations support MPI 20 For this reason, we will focus on MPI 11 in this discussion There are several implementations of MPI in common use The two most common are LAM/MPI [LAM] and MPICH [MPI] Both may be downloaded free of charge and are straightforward to install using the instructions that come with them They support a wide range of parallel computers, including Linux clusters, NUMA computers, and SMPs

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javaioFile location = new javaioFile (""); // Encode URL, for Win32 systems This may not be required // on other operating systems that don't support spaces and // punctuation in filenames String strLoc = "file://" + URLEncoderencode(locationgetAbsolutePath()); Systemoutprintln ("Activation codebase : " + strLoc); // Step four : Create an activation descriptor, whose // constructor requires the class name, // codebase, and an optional marshalled object ActivationDesc desc = new ActivationDesc ("ActivatableLightBulbServer", strLoc, null);

public void setSimpleDBClient(SimpleDB simpleDb) { sdb = simpleDb; } }

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Step Five The fifth step is to register the activation descriptor with the activation system This instructs the activation system of the class name and the location of the class definition file A remote stub will be returned, which can then be registered as an RMI service

The basic idea of passing a message is deceptively simple: One process sends a message and another one receives it Digging deeper, however, the details behind message passing become much more complicated: How are messages buffered within the system Can a process do useful work while it is sending or receiving messages How can messages be identified so that sends are always paired with their intended receives The long term success of MPI is due to its elegant solution to these (and other) problems The approach is based on two core elements of MPI: process groups and a communication context A process group is a set of processes involved in a computation In MPI, all the processes involved in the computation are launched together when the program starts and belong to a single group As the computation proceeds, however, the programmer can divide the processes into subgroups and precisely control how the groups interact A communication context provides a mechanism for grouping together sets of related communications In any message passing system, messages must be labeled so they can be delivered to the intended destination or destinations The message labels in MPI consist of the ID of the sending process, the ID of the intended receiver, and an integer tag A receive statement includes parameters indicating a source and tag, either or both of which may be wild cards The result, then, of executing a receive statement at process i is the delivery of a message with destination i whose source and tag match those in the receive statement While straightforward, identifying messages with source, destination, and tag may not be adequate in complex applications, particularly those that include libraries or other functions reused from other programs Often, the application programmer doesn't know any of the details about this borrowed code, and if the library includes calls to MPI, the possibility exists that messages in the application and the library might accidentally share tags, destinations IDs, and source IDs This could lead to.

// Step five : Register the object with the activation system // Returns a stub, which may be registered with // rmiregistry Remote stub = Activatableregister(desc);

Summary

Step Six The sixth and final step is to add a registry entry for the RMI service, so that clients may locate the service The code for this is similar to that of the previous RMI lightbulb server, except that a remote stub is registered, not an instance of a remote object

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