By William Gropp
ISBN-10: 0262571331
ISBN-13: 9780262571333
The Message Passing Interface (MPI) specification is well-known for fixing major clinical and engineering difficulties on parallel desktops. There exist greater than a dozen implementations on laptop structures starting from IBM SP-2 supercomputers to clusters of desktops working home windows NT or Linux ("Beowulf" machines). The preliminary MPI common rfile, MPI-1, used to be lately up-to-date via the MPI discussion board. the recent model, MPI-2, comprises either major improvements to the present MPI middle and new features.Using MPI is a very updated model of the authors' 1994 advent to the middle capabilities of MPI. It provides fabric at the new C++ and Fortran ninety bindings for MPI during the publication. It comprises larger dialogue of datatype extents, the main often misunderstood characteristic of MPI-1, in addition to fabric at the new extensions to uncomplicated MPI performance extra by means of the MPI-2 discussion board within the sector of MPI datatypes and collective operations.Using MPI-2 covers the hot extensions to easy MPI. those comprise parallel I/O, distant reminiscence entry operations, and dynamic method administration. the quantity additionally comprises fabric on tuning MPI functions for prime functionality on sleek MPI implementations.
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The fourth argument is an MPI_Info argument, which can be used to optimize the performance of RMA operations in certain situations. Here we use MPI_INFO_NULL. See Chapter 5 for more on the use of displacement units and the MPI_Info argument. The fifth argument is a communicator, which specifies Page 33 the set of processes that will have access to the memory being contributed to the window object. The MPI implementation will return an MPI_Win object as the last argument. After the first call to MPI_Win_create, each process has access to the data in nwin (consisting of the single integer n) via put and get operations for storing and reading, and the accumulate operation for updating.
To see how this works, let us consider a simple example. 2— RMA Version of cpi In this section we rewrite the cpi example that appears in Chapter 3 of Using MPI [32]. This program calculates the value of π by numerical integration. In the original version there are two types of communication. Process 0 prompts the user for a number of intervals to use in the integration and uses MPI_Bcast to send this number to the other processes. Each process then computes a partial sum, and the total sum is obtained by adding the partial sums with an MPI_Reduce operation.
The next argument is a displacement unit used to specify offsets into memory in windows. Here each window object contains only one variable, which we will access with a displacement of 0, so the displacement unit is not really important. We specify 1 (byte). The fourth argument is an MPI_Info argument, which can be used to optimize the performance of RMA operations in certain situations. Here we use MPI_INFO_NULL. See Chapter 5 for more on the use of displacement units and the MPI_Info argument.