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#include <stdioh> #include <omph> // OpenMP include file #define MAX 10 // maximum number of threads // // prototypes for functions to initialize the problem, // extract the boundary region to share, and perform the // field update Note: the initialize routine is different // here in that it sets up a large shared array (that is, for // the full problem), not just a local block // extern void init (int, int, double *, double * , double *); extern void extract_boundary (int, int, double *, double *); extern void update (int, int, double *, double *); extern void output_results (int, double *); int main(int argc, char **argv) { int Nsize; // Problem size (order of field matrix) int Bsize; // Number of doubles in the boundary double *field; double *boundary[MAX]; // array of pointers to a buffer to hold // boundary data // // Create Team of Threads // init (Nsize, Bsize, field, boundary, incoming); /* continued in next figure */
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This code is significantly more complex, but it can be more efficient on two counts First, barriers cause all threads to wait for the full team If any one thread is delayed for whatever reason, it slows down the entire team This can be disastrous for performance, especially if the variability between threads' workloads is high Second, we've replaced two barriers with one barrier and a series of flushes A flush is expensive, but notice that each of these flushes only flushes a single small array (done) It is likely that multiple calls to a flush with a single array will be much faster than the single flush of all thread visible data implied by a barrier
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Java: message passing
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The Java language definition does not specify message passing (as it does facilities for concurrent programming with threads) Similar techniques to those discussed for message passing in OpenMP could be used However, the standard class libraries provided with the Java distribution provide extensive support for various types of communication in distributed environments Rather than provide examples of those techniques, we will provide an overview of the available facilities
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Figure 614 OpenMP program that uses a ring of threads and a communication pattern where information is shifted to the right (continued from Fig 613)
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/* continued from previous figure */ #pragma omp parallel shared(boundary, field, Bsize, Nsize) // // Set up the SPMD program Note: by declaring ID and Num_threads // inside the parallel region, we make them private to each thread // int ID, nprocs, i, left; ID = omp_get_thread_num(); nprocs = omp_get_num_threads(); if (nprocs > MAX) { exit (-1); } // // assume a ring of processors and a communication pattern // where boundaries are shifted to the right // left = (ID-1); if(left<0) left = nprocs-1; for(i = 0; i < Nsteps; i++){ #pragma omp barrier extract_boundary(Nsize, Bsize, ID, nprocs, boundary[ID]); #pragma omp barrier update(Nsize, Bsize, ID, nprocs, field, boundary[left]);
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} output_results(Nsize, field); return 0;
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Java provides significant support for client server distributed computing in heterogeneous environments It is very easy to set up a TCP socket connection between two PEs and send and receive data over the connection The relevant classes are found in packages javanet and javaio The serialization facilities (see the javaioSerializable interface) support converting a possibly complex data structure into a sequence of bytes that can be transmitted over a network (or written to a file) and reconstructed at the destination The RMI (remote method invocation) packages javarmi* provide a mechanism enabling an object on one JVM to invoke methods on an object in another JVM, which may be running on a different computer Serialization is used by the RMI packages to marshal the arguments to the method and return the result to the caller
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Figure 615 The message-passing block from Fig 613 and Fig 614, but with more careful synchronization management (pairwise synchronization)
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