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/* continued from previous figure */ /* Do the multiply */ matclear(C, dimNb, dimMb, dimMb); for (int kb=0; kb < NB; ++kb) { if (myID_j == kb) { /* send A to other processes in the same "row" */ for (int jb=0; jb < NB; ++jb) { if (jb != myID_j) MPI_Send(A, dimNb*dimPb, MPI_DOUBLE, myID_i*NB + jb, 0, MPI_COMM_WORLD); } /* copy A to Abuffer */ memcpy(Abuffer, A, dimNb*dimPb*sizeof(double)); } else { MPI_Recv(Abuffer, dimNb*dimPb, MPI_DOUBLE, myID_i*NB + kb, 0, MPI_COMM_WORLD, &status); ) if (myID_i == kb) { /* send B to other processes in the same "column" */ for (int ib=0; ib < NB; ++ib) { if (ib != myID_i) MPI_Send(B, dimPb*dimMb, MPI_DOUBLE, ib*NB + myID_j, 0, MPI_COMM_WORLD); } /* copy B to Bbuffer */ memcpy(Bbuffer, B, dimPb*dimMb*sizeof(double)); } else { MPI_Recv(Bbuffer, dimPb*dimMb, MPI_DOUBLE, kb*NB + myID_j, 0, MPI_COMM_WORLD, &status); } /* compute product of block[ib] [kb] of A and block[kb][jb] of B and add to block[ib][jb] of C */ matmul_add(Abuffer, Bbuffer, C, dimNb, dimPb, dimMb, dimPb, dimMb, dimMb); }

Now you can see that returning each matching bookmark exactly once is going to be a problem Looking at the sorted list of tag values, Bookmark0 has a match at the beginning with ajaxnet and the end with vbnet And this is exactly how SimpleDB responds to this query: with Bookmark0 at both the beginning and the end of the list:

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descriptor object with the activation system, and returns a stub for the activatable object If the activation group associated with the specified descriptor is not known to the activation system, or if the activation system is not running, an exception will be thrown static boolean unexportObject(Remote obj, boolean force) throws javarmiNoSuchObjectException deactivates the specified remote object so that it will no longer respond to object requests This method takes a single boolean flag as a parameter If the value of the flag is "true," the object is terminated even if it is still responding to client requests If "false" and there are pending requests from clients, the object will not be deactivated A boolean flag is also returned by this method if the operation was successful, a value of "true" is returned, otherwise a value of "false" is returned static void unregister(ActivationID id ) throws javarmi

} /* Code to print results not shown */ /* Clean up and end */ MPI_Finalize(); return 0; }

An additional point to notice is that Bookmark2 also has two tags that match the criteria but it is not returned twice in the resultsThe reason for this is that the two tags ( jscriptnet and jsonnet ) appear sequentially in the sorted list SimpleDB returns the same item as many times as necessary to satisfy the ORDER BY directive However, separate entries for the same item are never generated for sequential ORDER BY matches

activationUnknownObjectException javarmiactivation ActivationException, javarmiremoteException removes registration of the object associated with the specified ActivationID from the RMI activation

Although the algorithm may seem complex at first, the overall idea is straightforward The computation proceeds through a number of phases (the loop over kb) At each phase, the process whose row index equals the kb index sends its blocks of A across the row of processes Likewise, the process whose column index equals kb sends its blocks of B along the column of processes Following the communication operations, each process then multiplies the A and B blocks it received and sums the result into its block of C After NB phases, the block of the C matrix on each process will hold the final product These types of algorithms are very common when working with MPI The key to understanding these algorithms is to think in terms of the set of processes, the data owned by each process, and how data from neighboring processes flows among the processes as the calculation unfolds We revisit these issues in the SPMD and Distributed Array patterns as well as in the MPI appendix A great deal of research has been carried out on parallel matrix multiplication and related linear algebra algorithms A more sophisticated approach, in which the blocks of A and B circulate among processes, arriving at each process just in time to be used, is given in [FJL 88 + ]

ActivationDesc Class An activation descriptor contains information that identifies an activatable object, such as the Descriptors are registered with an activation system, which uses this information to activate the object in response to a remote method call from a client Constructors Constructors of the ActivationDesc class are as follows

The SimpleDB Select query language does not have nearly the same capabilities as SQL and so is less powerful, but by the same token avoids a great deal of the complexity However, there is still quite a bit that you can do with it, and the opportunity certainly exists to create complex and inefficient queriesAchieving good query performance is important no matter what database or query language you use

Most problems involving the solution of differential equations use the Geometric Decomposition pattern A finite differencing scheme directly maps onto this pattern Another class of problems that use this pattern comes from computational linear algebra The parallel routines in the ScaLAPACK

public ActivationDesc( ActivationGroupID group, String classname, String codebase, MarshalledObject data) throws javalang IllegalArgumentException creates an activation descriptor associated with the specified activation group The classname parameter specifies the name of the class, and the codebase parameter specifies a URL to the resource (though codebase of the object, class name, and the activation group associated with the object

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