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#include "mpih" // MPI include file #include <stdioh> int main(int argc, char**argv) { int num_procs; // the number of processes in the group int ID; // a unique identifier ranging from 0 to (num_Procs-1) double local_result; double time_init, time_final, time_elapsed; double min_time, max_time, ave_time; // // Initialize MPI and set up the SPMD program // MPI_Init(&argc,&argv); MPI_Comm_rank(MPI_COMM_WORLD, &ID); MPI_Comm_size (MPI_COMM_WORLD, &num_procs); // // Ensure that all processes are set up and ready to go before timing // runit () // MPI_Barrier(MPI_COMM_WORLD); time_init = MPI_Wtime(); runit(); // a function that we wish to time on each process time_final = MPI_Wtime(); time_elapsed = time_final-time_init; MPI_Reduce (&time_elapsed, &min_time, 1, MPI_DOUBLE, MPI_MIN, 0, MPI_COMM_WORLD); MPI_Reduce (&time_elapsed, &max_time, 1, MPI_DOUBLE, MPI_MAX, 0, MPI_COMM_WORLD); MPI_Reduce (&time_elapsed, &ave_time, 1, MPI_DOUBLE, MPI_SUM, 0, MPI_COMM_WORLD); if (ID == 0){ ave_time = ave_time /(double)num_procs;

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the destination IP address byte[] getData() returns the contents of the DatagramPacket, represented as an array of bytes int getLength() returns the length of the data stored in a DatagramPacket This can be less than the actual size of the data buffer int getPort() returns the port number from which a DatagramPacket was sent, or (if the packet is going to be sent to a remote machine), the destination port number void setAddress(InetAddress addr) assigns a new destination address to a DatagramPacket void setData(byte[] buffer) assigns a new data buffer to the DatagramPacket Remember to make the buffer long enough, to prevent data loss void setLength(int length) assigns a new length to the DatagramPacket Remember that the length must be less than or equal to the maximum size of the data buffer, or an IllegalArgumentException will be thrown When sending a smaller amount of data, you can adjust the length to fit you do not need to resize the data buffer void setPort(int port) assigns a new destination port to a DatagramPacket

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printf(" min, ave and max times (secs): %f, %f, %f\n", min_time, ave_time,max_time); } MPI_Finalize(); return 0; }

When every() is combined with the equals operator, it enables you to select items with exactly one value and no more:

The DatagramSocket class provides access to a UDP socket, which allows UDP packets to be sent and received A DatagramPacket is used to represent a UDP packet, and must be created prior to receiving any packets The same DatagramSocket can be used to receive packets as well as to send them However, read operations are blocking, meaning that the application will continue to wait until a packet arrives Since UDP packets do not guarantee delivery, this can cause an application to stall if the sender does not resubmit packets You can use multiple threads of execution, discussed in 7, or as of JDK11, you can use nonblocking I/O to avoid this problem, as shown in the EchoClient example discussed in Section 572

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Most programmers will never implement their own reductions because the reduction mechanisms available with most parallel programming environments meet their needs Java, however, does not provide a reduction operator, so Java programmers might need to implement their own parallel reductions In any case, the algorithms used for reductions are instructive and well worth the effort to understand

static Remote exportObject ( Remote obj, ActivationID id, int port, RMIClientSocketFactory csf, RMIServerSocketFactory ssf) throws javarmiRemoteException makes the specified remote service available

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Figure 617 OpenMP program to time the execution of a function called runit() We use a reduction clause to find sum of the runtimes

at the specific port, using the specified client and server socket factories for obtaining sockets Activatable objects should not invoke this static method; only nonactivatable objects use this method

One of the things to consider when constructing a query for multi-valued attributes is whether it is possible for more than one value to match the criteria Consider, again, the fictitious domain that contains tagged bookmarksA query to find all bookmarks with a tag that ends with net might look like this:

#include <stdioh> #include <omph> // OpenMP include file extern void runit(); int main(int argc, char**argv) { int num_threads; // the number of processes in the group double ave_time=00; #pragma omp parallel reduction(+ : ave_time) num_threads(10) { double local_result; double time_init, time_final, time_elapsed; // The single construct causes one thread to set the value of // the num_threads variable The other threads wait at the // barrier implied by the single construct #pragma omp single num_threads = omp_get_num_threads(); time_init = omp_get wtime(); runit(); // a function that we wish to time on each process time_final = omp_get wtime(); time_elapsed = time_final - time_init; } ave_time += time_elapsed; ave_time = ave_time/(double)num_threads;

static ActivationID exportObject ( Remote obj, String location, MarshalledObject data, boolean restart, int port) throws java rmiRemoteException used to register an Activatable object's activation

descriptor, which provides essential information to the activation daemon process An ActivationID object is returned, which uniquely identifies the remote object and contains a reference to the object's activator Again, this should only be used by objects that do not extend the Activatable class

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printf(" ave time (secs): % \n", ave_time); return 0; }

static ActivationID exportObject ( Remote obj, String location, MarshalledObject data, boolean restart, int port, RMIClient SocketFactory csf, RMIServerSocketFactory ssf) throws javarmi RemoteException this method is used to register an Activatable object's

We consider tree based reductions in the following discussion These are the simplest of the scalable parallel reduction algorithms and although not optimal, they expose most of the issues addressed in the more optimal reduction algorithms [CKP 93 + ]

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