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A relatively small region of memory that is local to a processor and is considerably faster than the computer's main memory Cache hierarchies consisting of one or more levels of cache are essential in modern computer systems Because processors are so much faster than the computer's main memory, a processor can run at a significant fraction of full speed only if the data can be loaded into cache before it is needed and that data can be reused during a calculation Data is moved between the cache and the computer's main memory in small blocks of bytes called cache lines An entire cache line is moved when any byte within the memory mapped to the cache line is accessed Cache lines are removed from the cache according to some protocol when the cache becomes full and space is needed for other data, or when they are accessed by some other processor Usually each processor has its own cache (though sometimes multiple processors share a level of cache), so keeping the caches coherent (that is, ensuring that all processors have the same view of memory through their distinct caches) is an issue that must be dealt with by computer architects and compiler writers Programmers must be aware of caching issues when optimizing the performance of software

together cooperatively, it may be cheaper for them to move to a single environment (a meeting place), rather than communicating individually with each other across the Internet This conserves bandwidth and reduces the time taken to send messages Few languages were designed with mobile code in mind, however Here is where Java really shines not only is Java bytecode portable from one machine to another regardless of the underlying operating system or CPU architecture, but the designers of Java recognized the need for developers to transmit code over a network Java's support for this comes in the form of remote method invocation (RMI), which supports dynamic loading of new classes downloaded from the Internet This makes mobile agents easier to deploy

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ccNUMA Cache coherent NUMA A NUMA model where data is coherent at the level of the cache See also [NUMA] Cluster Any collection of distinct computers that are connected and used as a parallel computer, or to form a redundant system for higher availability The computers in a cluster are not specialized to cluster computing and could, in principle, be used in isolation as standalone computers In other words, the components making up the cluster, both the computers and the networks connecting them, are not custom built for use in the cluster Examples include Ethernet connected workstation networks and rack mounted workstations dedicated to parallel computing See also [workstation farm] Collective communication A high level operation involving a group of UEs and having at its core the cooperative exchange of information between the UEs The high level operation might be a pure communication event (for example, a broadcast) or it might include some computation (for example, a reduction) See also [broadcast] See also [reduction] Concurrent execution A condition in which two or more UEs are active and making progress simultaneously This can be either because they are being executed at the same time on different PEs, or because the

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static Session getDefaultInstance( Properties properties, Authenticator authenticator) returns an instance of the default session

Concurrent program A program with multiple loci of control (threads, processes, etc)

object As each session can contain sensitive information (such as usernames and passwords), granting access to the default session may be risky if multiple applications are running within the JVM For this reason, an Authenticator object may be passed In most situations, however, it is safe to pass a null value for the authenticator parameter Mail session properties may also be specified, to control the actions of the session object Folder getFolder(URLName location) throws javaxmailNoSuch ProviderException, javaxmailMessagingException returns a folder object for the specified URLName If a folder could not be found, a null value will be returned, and an exception may be thrown

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static Session getInstance(Properties properties, Authenticator authenticator) returns a new session object, which will use the specified mail

Condition variable Condition variables are part of the monitor synchronization mechanism A condition variable is used by a process or thread to delay until the monitor's state satisfies some condition; it is also used to awaken a delayed process when the condition becomes true Associated with each condition variable is a wait set of suspended (delayed) processes or threads Operations on a condition variable include wait (add this process or thread to the wait set for this variable) and signal or notify (awaken a process or thread on the wait set for this variable) See also [monitor] Copy on write A technique that ensures, using minimal synchronization, that concurrent threads will never see a data structure in an inconsistent state To update the structure, a copy is made, modifications are made on the copy, and then the reference to the old structure is atomically replaced with a reference to the new This means that a thread holding a reference to the old structure may continue to read an old (consistent) version, but no thread will ever see the structure in an inconsistent state Synchronization is only needed to acquire and update the reference to the structure, and to serialize the updates

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