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Most modern operating systems support multitasking While some applications don't take advantage of multi-threading and are written as single-threaded applications, they are still running in a multi-threaded environment The operating system can allow other applications and other threads to execute, while the single-threaded application is oblivious So, how is this achieved Unless you have more than one CPU, only a single thread can be running at any given moment in time The operating system maintains a queue of threads and allocates CPU time to them However, time must be shared allocating all the time to a single thread would be unfair, as it would prevent other threads from doing their work (this is known as thread starvation) A pre emptive multitasking operating system is one that will suspend a thread (even if it still has work to do) so that other threads can be given CPU time Of course, deciding which thread should be allocated CPU time is tricky The process of determining which thread to run is called scheduling Not all operating systems allocate thread time fairly, but to give the operating system a guide, threads are allocated a priority level Some threads operate at a very high level of priority, which means that they are given first shot at CPU time, while other threads operate at a very low level of priority Low-priority threads don't normally get a fair share of CPU time, and may not run at all if higher-priority threads exhaust all available CPU time Since the choice of which thread is executed is up to the operating system and not the application, it becomes impossible to predict the order of execution, or how much CPU time will be given This has some important implications for application developers If the order of thread execution cannot be predicted, it is impossible to know which tasks will be completed first or have even been started Tasks may be preempted before they are completed, which can cause problems if another thread accesses the same memory variable at the same time Imagine a scenario in which data records are being accessed and modified by multiple threads Suppose one thread is generating a total of the number of items stored in a warehouse, and is suspended partway through the total to allow another thread to run This second thread modifies the contents of a record to indicate that an item has been removed The first thread is resumed, and continues on in its calculations completely unaware that items have been removed and that the records have been modified At the end of its task, its calculation is inaccurate because it was unable to account for the fact that the record contents had changed Such a system may sound anarchical at first If threads are accessing and modifying data haphazardly, how then can useful work be performed Careful attention must be paid to concurrent access and modification of data, to prevent data from becoming out of sync With careful design, however, data can be locked, which will prevent read access while write access occurs Multi-threaded programming can be difficult to master, but the rewards that it offers are great Networking clients do not need to lock up the GUI if a network connection stalls, and servers can process multiple clients concurrently Addition ally, threads may use variables independently, and are not forced to share the same data A thread could, for example, declare its own set of variables that it does not make available to other threads (by marking them as private or protected), thus ensuring that an access conflict does not occur.

A frequent requirement, when displaying the results of a query, is to enable the user to navigate through the results in pagesThe basic function of fetching another page of results is built into SimpleDB with the NextToken Unfortunately, there are many things you might want to do with search results pages that SimpleDB does not directly support

Figure 510 Pseudocode for the neighbor list computation For each atom i, the indices for atoms within a sphere of radius cutoff are added to the neighbor list for atom i Notice that the second loop (over j) only considers atoms with indices greater than i This accounts for the symmetry in the force computation due to Newton's third law of motion, that is, that the force between atom i and atom j is just the negative of the force between atom j and atom i

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Java, like many modern programming languages, includes support for multi-threaded applications In Java, threads of execution are represented by the java langThread class, while code for tasks that are designed to run in a separate thread is represented by the javalangRunnable interface It is very important that developers be aware of both

function neighbor (N, LN, ID, cutoff, atoms, local_atoms, neighbors) Int N // number of atoms Int LN // max number of atoms assigned to a UE Real cutoff // radius of sphere defining neighborhood Array of Real :: atoms (3,N) //3D coordinates Array of List :: neighbors(LN) //atoms in cutoff volume Array of Int :: local_atoms(LN) //atoms assigned to this UE real :: dist_squ initialize_lists (local_atoms, neighbors)

The javalangThread class provides methods to start, suspend, resume, and stop a thread, as well as to control other aspects such as the priority of a thread or the name associated with it The simplest way to use the Thread class is to extend it and override the run() method, which is invoked when the thread is first started By overriding the run() method, a thread can be made to perform useful tasks in the background NOTE Keep in mind that threads do not start running automatically at creation time Instead, the Threadstart() method must be invoked If it is not, the thread will not run

One of the common ways to display search results in pages is to begin by showing the results for the current page, and also showing links to each of the other pagesThis has the benefit of quickly allowing the user to see how many pages there are and going to one specific page quickly However, as a practical matter, when there are many pages, there is seldom a good reason for the user to navigate to an arbitrary middle page Usually, either the next page or the last page is the next navigation targetAs such, it has become common, on the web, to see search results that do not include full pagination but only the more common first, last, next, and previous linksThis can serve to reduce visual clutter, and it is well suited to SimpleDB, where getting the full query result count can be time consuming for a large domainWhen going to the next page, you may be able to simplify the use case by only allowing a next page and not arbitrary pagingYou can do this in SimpleDB by using the LIMIT clause:

The following example shows how to extend the Thread class and start several instances running, each in a separate thread

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