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void printValues(double uk[], int step, int numPoints, int myID) { /* NOT SHOWN */ } int main(int argc, char *argv[]) { /* pointers to arrays for two iterations of algorithm */ double *uk, *ukp1, *temp; double dx = 10/NX; double dt = 05*dx*dx; int numProcs, myID, leftNbr, rightNbr, numPoints; MPI_Status status; /* MPI initialization */ MPI-Init(&argc, &argv); MPI_Comm_size (MPI_COMM_WORLD, &numProcs); MPI_Comm_rank(MPI_COMM_WORLD, &myID); //get own ID /* initialization of other variables */ leftNbr = myID - 1; // ID of left "neighbor" process rightNbr = myID + 1; // ID of right "neighbor" process numPoints = (NX / numProcs); /* uk, ukp1 include a "ghost cell" at each end */ uk = malloc(sizeof(double) * (numPoints+2)); ukp1 = malloc(sizeof(double) * (numPoints+2)); initialize(uk, ukp1, numPoints, numProcs, myID); /* continued in next figure */

Running SerializationDemo This example demonstrates the use of serialization to save program state You can follow the menu prompts to add data, and then exit the program Run the program a second time, and you'll notice that it "remembers" the original state of the list Deleting the file listout will erase the program's memory again To run the example, the following command would be executed:

We could further modify the code in Fig 414 and 415 to use nonblocking communication to overlap computation and communication, as discussed earlier in this pattern The first part of the program is unchanged from our first mesh computation MPI program (that is, Fig 414) The differences for this case are contained in the second part of the program containing the main computation loop This code is shown in Fig 416

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Testing for the existence of an attribute within an item can be an important condition, and the IS NOT NULL operator enables you to do itThis operator takes a single attribute name on the left side:

The need for secure serialization becomes an important concern in systems that deal with sensitive data, control access to other resources, or transmit data over insecure network communications (such as the Internet, as opposed to a corporate intranet) Some of the security risks can be identified as follows:

Interception of serialized object Access to the contents of a serialized object Modification of a serialized object, and then transmission to intended recipient

Figure 415 Parallel heat-diffusion program using MPI (continued from Fig 414)

operator matches items where no value exists for the named attribute:

Each of these scenarios can be risky, depending on the nature of the program Changing the high score on a game might not be too serious, but changing a bank account PIN number or balance is very serious, and allows a system to be compromised When developing a system any system the seriousness of possible security breaches should always be considered In some systems such risks can be disregarded, but if not, there is a solution Transmission of sensitive objects (either to disk or across a network) could occur over an encrypted stream, providing an added layer of

There are dozens of different parallel architectures, among them networks of workstations, clusters of off the shelf PCs, massively parallel supercomputers, tightly coupled symmetric multiprocessors, and multiprocessor workstations In this section, we give an overview of these systems, focusing on the characteristics relevant to the programmer 221 Flynn's Taxonomy By far the most common way to characterize these architectures is Flynn's taxonomy [Fly72] He categorizes all computers according to the number of instruction streams and data streams they have, where a stream is a sequence of instructions or data on which a computer operates In Flynn's taxonomy, there are four possibilities: SISD, SIMD, MISD, and MIMD

security Security and encryption are complex topics worthy in their own right of book-length discussions, and are beyond the scope of this book

A common use for IS NOT NULL, beyond the need to find values that exist, is to meet the requirement of the WHERE clause to ensure that the sort attribute exists in all matching rows:

Single Instruction, Single Data (SISD) In a SISD system, one stream of instructions processes a single stream of data, as shown in Fig 21 This is the common von Neumann model used in virtually all single processor computers

When an object is written to an ObjectOutputStream, an extra member variable is sent that developers may otherwise be unaware of This variable is a stream unique identifier (SUID), which serves as an object version number For example, the following is the SUID for a particular class, and is represented as a long value:

This Select returns an InvalidQueryExpression error because you cannot sort on an attribute that might not exist in the result setThe easiest way to ensure existence is add an IS NOT NULL test, as follows:

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