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Single Instruction, Multiple Data (SIMD) In a SIMD system, a single instruction stream is concurrently broadcast to multiple processors, each with its own data stream (as shown in Fig 22) The original systems from Thinking Machines and MasPar can be classified as SIMD The CPP DAP Gamma II and Quadrics Apemille are more recent examples; these are typically deployed in specialized applications, such as digital signal processing, that are suited to fine grained parallelism and require little interprocess communication Vector processors, which operate on vector data in a pipelined fashion, can also be categorized as SIMD Exploiting this parallelism is usually done by the compiler

static final long serialVersionUID = 1184731035348490134L;

Multiple Instruction, Single Data (MISD) No well known systems fit this designation It is mentioned for the sake of completeness Multiple Instruction, Multiple Data (MIMD) In a MIMD system, each processing element has its own stream of instructions operating on its own data This architecture, shown in Fig 23, is the most general of the architectures in that each of the other cases can be mapped onto the MIMD architecture The vast majority of modern parallel systems fit into this category

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The serialVersionUID field is used to determine whether a compatible class definition was found during deserialization that matches that of a serialized object In large systems, it might be possible for two versions of the same class to be used, and one of them may be incompatible For this reason, a SUID is added as a field, to enable a deserializing ObjectInputStream to check for a match The version number is a 64-bit number, based on a variety of class-specific factors such as the name of a class, methods, and fields This provides for a fair degree of certainty that no two numbers will be alike, even if classes are similarly named NOTE For more information on the exact composition of the SUID, consult the Java Object Serialization specification, available at http://javasuncom/products/jdk/12/docs/guide/serialization/

An important consideration overlooked thus far is what is going to happen with these comparisons for attributes with multiple valuesThe answer to this question is that each attribute value is considered individually Given the function of the operators as discussed so far, considering each attribute individually might seem to be problematic It is very possible to construct queries where every item with a multi-valued attribute is returned For example:

Now, however, consider the problems that would occur if a class was modified and methods or member variables added or removed Since the object version number is based upon the methods and member variables of a class, the object's serialVersionUID field, generated automatically by ObjectInputStream, will change, rendering it incompatible Maintenance is an important part of any software development project, and if an application's save files are suddenly unusable because the developer decided to add an extra method or two, users of the application are not going to be happy The solution is for the developer to work out the serialUID field independently, and add it as a member variable of the appropriate class, to keep things compatible Of course, calculating such a long number oneself might be a little tricky That's why the Serial Version Command tool ships as part of JDK It analyzes a class file and displays the value of its serialVersionUID field There are two ways to use the tool, and the easiest is the GUI version, which allows the field to be copied and pasted into the application To invoke the serial version tool, simply type the following (presuming you have added the correct path statement to point to Java's bin directory, per the JDK installation instructions):

222 A Further Breakdown of M IMD The MIMD category of Flynn's taxonomy is too broad to be useful on its own; this category is typically decomposed according to memory organization Shared memory In a shared memory system, all processes share a single address space and communicate with each other by writing and reading shared variables One class of shared memory systems is called SMPs (symmetric multiprocessors) As shown in Fig 24, all processors share a connection to a common memory and access all memory locations at equal speeds SMP systems are arguably the easiest parallel systems to program because programmers do not need to distribute data structures among processors Because increasing the number of processors increases contention for the memory, the processor/memory bandwidth is typically a limiting factor Thus, SMP systems do not scale well and are limited to small numbers of processors

SELECT * FROM products WHERE count != '100'

You should see a window like that in Figure 4-8, which shows the serial version inspector in action Simply specify the classpath of each class you're interested in, and copy and paste the serialVersionUID field into your applications

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