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The other main class of shared memory systems is called NUMA (nonuniform memory access) As shown in Fig 25, the memory is shared; that is, it is uniformly addressable from all processors, but some blocks of memory may be physically more closely associated with some processors than others This reduces the memory bandwidth bottleneck and allows systems with more processors; however, as a result, the access time from a processor to a memory location can be significantly different depending on how "close" the memory location is to the processor To mitigate the effects of nonuniform access, each processor has a cache, along with a protocol to keep cache entries coherent Hence, another name for these architectures is cache coherent nonuniform memory access systems (ccNUMA) Logically, programming a ccNUMA system is the same as programming an SMP, but to obtain the best performance, the programmer will need to be more careful about locality issues and cache effects

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By adding the serialVersionUID field, you can make future versions somewhat compatible, as they share the same SUID Changes to method names can then be made, without invalidating previously serialized objects However, adding or removing member variables will still cause incompatibility problems

Every item with more than one value for the count attribute will end up matching this comparison because each value is required to be unique, therefore at least one value must be something other than 100 It is just as easy to construct a query that is guaranteed to match none of the items with multiple values For example, consider that the products domain has multi-valued attribute named size containing the available sizes

/* continued from Figure 414 */ for (int k = 0; k < NSTEPS; ++k) {

46 Summary

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/* exchange boundary information */ if (myID != 0) MPI_Send(&uk[1], 1, MPI_DOUBLE, leftNbr, 0, MPI_COMM_WORLD); if (myID != numProcs-1) MPI_Send(&uk[numPoints], 1, MPI_DOUBLE, rightNbr, 0, MPI_COMM_WORLD); if (myID != 0) MPI_Recv(&uk[0], 1, MPI_DOUBLE, leftNbr, 0, MPI_COMM_WORLD, &status); if (myID != numProcs-1) MPI_Recv(&uk[numPoints+l],1, MPI_DOUBLE, rightNbr, 0, MPI_COMM_WORLD, &status); /* compute new values for interior points */ for (int i = 2; i < numPoints; ++i) { ukpl[i]=uk[i]+ (dt/(dx*dx))*(uk[i+1]-2*uk[i]+uk[i-1]); } /* compute new values for boundary points */ if (myID != 0) { int i=1; ukpl[i]=uk[i]+ (dt/(dx*dx))*(uk[i+1]-2*uk[i]+uk[i-1]); } if (myID != numProcs-1) { int i=numPoints; ukp1[i]=uk[i]+ (dt/(dx*dx))*(uk[i+1]-2*uk[i]+uk[i-1]); } /* "copy" ukp1 to uk by swapping pointers */ temp = ukp1; ukp1 = uk; uk = temp; printValues(uk, k, numPoints, myID); } /* clean up and end */ MPI_Finalize(); return 0;

for the productA query to find products that come in both medium and small might look like this:

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The Java input and output package (javaio) provides developers with a comprehensive range of options for reading and writing bytes of data, as well as characters Once mastered, streams play an important part in application development, and particularly so in the case of network programming By applying filter streams, or filter readers and writers, to low-level streams, developers can read numbers, arrays, characters, strings, and other datatypes from a sequence of bytes, or write such datatypes to a new sequence of bytes

In this chapter, you have learned:

While the basic algorithm is the same, the communication is quite different The immediate mode communication routines, MPI_Isend and MPI_Irecv, are used to set up and then launch the communication events These functions (described in more detail in the MPI appendix, Appendix B) return immediately The update operations on the interior points can then take place because they don't depend on the results of the communication We then call functions to wait until the communication is complete and update the edges of each UE's chunks using the results of the communication events In this case, the messages are small in size, so it is unlikely that this version of the program would be any faster than our first one But it is easy to imagine cases where large, complex communication events would be involved and being able to do useful work while the messages move across the computer network would result in significantly greater performance

SELECT * FROM products WHERE size = 'S' AND size = 'M'

What streams are, and how they work What readers and writers are, and how they work How to connect filter streams to low-level streams How to connect readers and writers to streams About object serialization and how to read and write objects

Figure 416 Parallel heat-diffusion program using MPI with overlapping communication/ computation (continued from Fig 414)

The preceding query can never return any values because both comparisons are evaluated together as a single predicate against each value Beyond the mere avoidance of these problems, it is necessary to have a way to isolate the individual values of a multi-valued attribute for comparison purposesThe SimpleDB query language defines two constructs to fill this role: the INTERSECTION operator and the EVERY() function

Section 51 Overview Section 52 DatagramPacket Class Section 53 DatagramSocket Class Section 54 Listening for UDP Packets Section 55 Sending UDP packets Section 56 User Datagram Protocol Example Section 57 Building a UDP Client/Server Section 58 Additional Information on UDP Section 59 Summary

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how to write pdf file in asp.net c#

how to write pdf file in asp.net c#

how to write pdf file in asp.net c#