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Select the Organize By Flow of Data branch when the major organizing principle is how the flow of data imposes an ordering on the groups of tasks This pattern group has two members, one that applies when this ordering is regular and static and one that applies when it is irregular and/or dynamic Choose the Pipeline pattern when the flow of data among task groups is regular, one way, and does not change during the algorithm (that is, the task groups can be arranged into a pipeline through which the data flows) Choose the Event Based Coordination pattern when the flow of data is irregular, dynamic, and/or unpredictable (that is, when the task groups can be thought of as interacting via asynchronous events) 424 Re-evaluation Is the Algorithm Structure pattern (or patterns) suitable for the target platform It is important to frequently review decisions made so far to be sure the chosen pattern(s) are a good fit with the target platform After choosing one or more Algorithm Structure patterns to be used in the design, skim through their descriptions to be sure they are reasonably suitable for the target platform (For example, if the target platform consists of a large number of workstations connected by a slow network, and one of the chosen Algorithm Structure patterns requires frequent communication among tasks, it might be difficult to implement the design efficiently) If the chosen patterns seem wildly unsuitable for the target platform, try identifying a secondary organizing principle and working through the preceding

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starting at the specified offset and lasting for the specified duration If a buffer overrun occurs, an exception is thrown void unread(int byte) throws javaioIOException pushes back the specified byte into the front of the buffer If a buffer overrun occurs, an exception is thrown

Unlike names that require quoting only when they contain certain characters, attribute value constants must always be quoted within a SelectYou can quote values using either the single-quote character ( ) or the double-quote character ( ):

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void unread(byte[] byteArray, int offset int length) throws javaioIOException pushes back a subset of the contents of the specified array,

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While there are plenty of filter input streams, a few useful output streams are available as well The most useful are presented in Table 4-4 and discussed in detail below 4331 BufferedOutputStream Class The BufferedOutputStream provides data buffering similar to the BufferedInputStream As suggested by the name of the class, however, it buffers writes, not reads An internal buffer is maintained, and when the buffer is complete (or earlier, if a request to flush the buffer is made), the buffer contents are dumped to the output stream to which the buffered stream is connected Table 4-4 Useful Filter Output Streams of the javaio Package Filter Output Stream Purpose of Stream

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431 Medical Imaging For example, consider the medical imaging problem described in Sec 313 This application simulates a large number of gamma rays as they move through a body and out to a camera One way to describe the concurrency is to define the simulation of each ray as a task Because they are all logically equivalent, we put them into a single task group The only data shared among the tasks is a large data structure representing the body, and since access to this data structure is read only, the tasks do not depend on each other Because there are many independent tasks for this problem, it is less necessary than usual to consider the target platform: The large number of tasks should mean that we can make effective use of any (reasonable) number of UEs; the independence of the tasks should mean that the cost of sharing information among UEs will not have much effect on performance Thus, we should be able to choose a suitable structure by working through the decision tree shown previously in Fig 42 Given that in this problem the tasks are independent, the only issue we really need to worry about as we select an algorithm structure is how to map these tasks onto UEs That is, for this problem, the major organizing principle seems to be the way the tasks are organized, so we start by following the Organize By Tasks branch We now consider the nature of our set of tasks whether they are arranged hierarchically or reside in an unstructured or flat set For this problem, the tasks are in an unstructured set with no obvious hierarchical structure among them, so we choose the Task Parallelism pattern Note that in the problem, the tasks are independent, a fact that we will be able to use to simplify the solution Finally, we review this decision in light of possible target plat form considerations As we observed earlier, the key features of this problem (the large number of tasks and their independence) make it unlikely that we will need to reconsider because the chosen structure will be difficult to implement on the target platform 432 Molecular Dynamics As a second example, consider the molecular dynamics problem described in Sec 313 In the Task Decomposition pattern, we identified the following groups of tasks associated with this problem:.

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BufferedOutputStream Provides buffering of data writes, to improve efficiency DataOutputStream Writes primitive datatypes, such as bytes and numbers PrintStream

Tasks that find the vibrational forces on an atom Tasks that find the rotational forces on an atom Tasks that find the nonbonded forces on an atom Tasks that update the position and velocity of an atom A task to update the neighbor list for all the atoms

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