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Parallel computing code, serial parallel realization and code comparison of PI

水晶宫廷
2015-09-18 23:02:33
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多线程多线程 CPlusPlus, C-C++C++

Description

Application background

Of C + + MPI based parallel computing implementation, mainly aims at is parallel and serial computing time comparison of PI, completely in the VC compiler environment through debugging. For the introduction of MPI parallel programming for people to have a very large reference value! Of C + + MPI based parallel computing implementation, mainly aims at is parallel and serial computing time comparison of PI, completely in the VC compiler environment through debugging. For the introduction of MPI parallel programming for people to have a very large reference value! Of C + + MPI based parallel computing implementation, mainly aims at is parallel and serial computing time comparison of PI, completely in the VC compiler environment through debugging. For the introduction of MPI parallel programming for people to have a very large reference value!

Key Technology

MPI multi thread is a convenient model, where each thread can access other threads of storage space. Therefore, this model can only be transplanted between shared memory system. Generally speaking, the parallel machine does not necessarily share the storage between the processors. When the non - shared memory system is developed, the communication between the different parts of the program is transmitted by the way of communicating the message. To make the message transfer mode portable, we need to adopt the standard message passing library. This is the Passing Interface Message (MPI), MPI is a widely used message passing standard [1].Different from OpenMP, MPI is a kind of parallel programming technology based on message passing. Message passing interface is a programming interface standard, not a specific programming language. In short, the MPI standard defines a set of portable programming interfaces. Each vendor or organization to follow these standards to achieve their own MPI software package, the typical implementation includes open source MPICH, MPI LAM and MPI Intel is not open source code. Since MPI provides a unified programming interface, programmers need to design a good parallel algorithm, using the corresponding MPI library can achieve the parallel computing based on message passing. MPI supports a variety of operating systems, including most of the class UNIX and Windows systems.
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File list

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Name Size Date
01.97 kB
01.97 kB
piParallelProgram.exe184.10 kB2015-05-30 16:04
piParallelProgram.ilk191.20 kB2015-05-30 16:04
piParallelProgram.obj5.88 kB2015-05-30 16:04
piParallelProgram.pch1.93 MB2015-05-30 10:54
piParallelProgram.pdb433.00 kB2015-05-30 16:04
piSerialProgram.exe528.10 kB2015-05-30 16:02
piSerialProgram.ilk767.41 kB2015-05-30 16:02
piSerialProgram.obj143.50 kB2015-09-19 11:00
piSerialProgram.pch1.93 MB2015-09-19 11:00
piSerialProgram.pdb1.04 MB2015-05-30 16:02
vc60.idb89.00 kB2015-09-19 11:00
vc60.pdb116.00 kB2015-09-19 11:00
ParallelFinalTest.dsp4.31 kB2015-05-28 08:27
ParallelFinalTest.dsw540.00 B2015-05-28 08:24
ParallelFinalTest.ncb33.00 kB2015-05-28 08:27
ParallelFinalTest.opt47.50 kB2015-05-28 08:27
piParallelProgram.cpp1.49 kB2015-05-30 08:35
piParallelProgram.dsp3.45 kB2015-05-30 16:04
piParallelProgram.dsw542.00 B2015-05-30 16:04
piParallelProgram.ncb41.00 kB2015-05-30 16:04
piParallelProgram.opt47.50 kB2015-05-30 16:04
piParallelProgram.plg809.00 B2015-05-30 16:04
piSerialProgram.cpp618.00 B2015-05-30 16:03
piSerialProgram.dsp3.43 kB2015-09-19 11:00
piSerialProgram.dsw538.00 B2015-09-19 11:00
piSerialProgram.ncb41.00 kB2015-09-19 11:00
piSerialProgram.opt47.50 kB2015-09-19 11:00
piSerialProgram.plg727.00 B2015-09-19 11:00
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Parallel computing code, serial parallel realization and code comparison of PI (1.61 MB)

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