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A key factor in using this pattern correctly is ensuring that nonlocal data required for the update operation is obtained before it is needed If all the data needed is present before the beginning of the update operation, the simplest approach is to perform the entire exchange before beginning the update, storing the required nonlocal data in a local data structure designed for that purpose (for example, the ghost boundary in a mesh computation) This approach is relatively straightforward to implement using either copying or message passing More sophisticated approaches in which computation and communication overlap are also possible Such approaches are necessary if some data needed for the update is not initially available, and may improve performance in other cases as well For example, in the example of a mesh computation, the exchange of ghost cells and the update of cells in the interior region (which do not depend on the ghost cells) can proceed concurrently After the exchange is complete, the boundary layer (the values that do depend on the ghost cells) can be updated On systems where communication and computation occur in parallel, the savings from such an approach can be significant This is such a common feature of parallel algorithms that standard communication APIs (such as MPI) include whole classes of message passing routines to overlap computation and communication These are discussed in more

Object serialization is the technique by which object persistence is realized Basically, object serialization controls how the data that comprises an object's state information (the individual member variables, whether public, private, or protected) is written as a sequence of bytes The serialized object might be sent over a network (enabling technologies such as remote method invocation, discussed in 11), or saved to a disk so that it can be accessed at some point in the future This allows objects to move from one JVM to another, whether located on the same machine or a remote one Serialization works by examining the variables of an object and writing primitive datatypes like numbers and characters to a byte stream But if an object contains an object as a member variable (as opposed to a primitive datatype), the story is somewhat different The object member variable would cease to function correctly if the object was left out, so the variable must be serialized as well If it contains an object or a collection of objects (such as an array or a vector), then they too must be serialized This must be done recursively, so that if an object has a reference to an object, which has a reference to another object (and so on), they are all saved together This happens transparently developers do not need to manually specify which objects are to be written The set of all objects referenced is called a graph of objects, and object serialization converts entire graphs to byte form (as shown in 6-7)

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The combination of a greater-than comparison and a less-than comparison gives you the flexibility to specify any range you may needYou can specify multiple ranges by enclosing each range in parenthesis and using the OR operator between them, as in a previous example If, however, you have the common case where you want to specify a range in terms of <= on one side and >= on the other, you can use the BETWEEN operator:

detail in the MPI appendix The low level details of how the exchange operation is implemented can have a large impact on efficiency Programmers should seek out optimized implementations of communication patterns used in their programs In many applications, for example, the collective communication routines in message passing libraries such as MPI are useful These have been carefully optimized using techniques beyond the ability of many parallel programmers (we discuss some of these in Sec 642) and should be used whenever possible

Support for serialization was introduced in JDK11 Prior to this, no support for object persistence was offered, and developers had to write the contents of an object themselves This was an arduous process, as the developer would normally have to come up with a proprietary data structure, save all the wanted objects (recursively if necessary), and write code to restore the objects at a later date This was not a fun task, and any change to the objects (such as adding new member variables) required a change to the code to save and restore an object Now, however, any object that implements the javaioSerializable interface may be serialized with only a few lines of code (along with any other object referenced by a serialized object) Implementing the javaioSerializable interface requires no additional effort on the part of developers, other than adding the appropriate "implements" statement during the class declaration and declaring a no-argument constructor (also referred to as the default constructor) The interface serves only as an indication that the developer endorses serialization no methods need to be implemented to support serialization The constructor is required so that the class may be instantiated later by the JVM, and then deserialized by assigning new values to member variables For example, the following class declaration identifies a serializable object

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javaioSerializable { public class SomeClass() { } }

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