openmp

Research on development of mixed mode MPI + OpenMP applications

MPI+OpenMP混合并行编程模型应用研究

Research and Efficiency Analysis on MPI + OpenMP Hybrid Paradigms

MPI+OpenMp混合编程模式研究与效率分析

This paper discusses parallel programming based on distributed / shared memory hierarchical architecture and presents hybrid MPI / OpenMP parallel programming mode .

文中主要讨论基于分布/共享内存层次结构的并行程序设计问题，介绍了MPI和OpenMP混合并行程序设计模式。

OpenMP is a multi-threading implementation that allows the compiler to generate code for task and data parallelism .

OpenMP是一个多线程实现，它允许编译器为任务和数据并行生成代码。

But unlike the compiler directives used in OpenMP , Microsoft 's solution is based on anonymous delegates .

不过它不像OpenMP那样，使用编译器指令标记；微软的解决方案是基于匿名委托。

On the surface this feels a lot like the OpenMP library used by Fortran and C programmers on supercomputers .

从表面看来，这套并行库感觉和Fortran或C程序员在超级计算机使用的OpenMP库非常相似。

Using one aspect of OpenMP , code is annotated with areas in which parallelism should occur using preprocessor directives .

OpenMP的一种用法是，使用预处理程序指令注释其中应该发生并行的代码。

Finally , we apply MPI + OpenMP to Kriging method , the experimental showed that : the parallel solution speed-up ratio reach 1.72 .

最后将MPI+OpenMP应用到克里金方法中，实验结果表明：并行求解的加速比达到了1.72。

This paper discusses the performance of MPI + OpenMP hybrid programming paradigm and different implementations , and presents multi-granularity MPI + OpenMP hybrid programming method .

文章讨论了MPI+OpenMP混合编程模型的性能和不同的实现方法，提出了多粒度MPI+OpenMP混合编程方法。

MPI ( which is based on the message-passing model ) and OpenMP ( which is based on the shared-memory model ) are become mainly methods for parallel program design .

当前并行程序设计方法主要采用基于消息传递模型的MPI和基于共享存储模型的OpenMP，两种编程模式各有特点和适用范围。

But one of the most interesting changes in the4.2 release was the addition of OpenMP for the C , C + + , and Fortran compilers .

但是4.2发行版中最有趣的变化之一是增加了用于C、C++和Fortran编译器的OpenMP。

Two different schemes used in the parallel model , the pure MPI scheme and OpenMP / MPI mixed scheme , are introduced in this paper . And their parallel performance is compared and analyzed .

介绍了并行模式的纯MPI方案及OpenMP/MPI混合编程方案的设计原则，分析比较了两种方案的并行性能。

Hybrid programming model , such as MPI + OpenMP , requires analysis to determine both performance efficiency and the most suitable numbers of processes and threads for their execution on a given platform .

混合并行编程模型，例如MPI+OpenMP，需要分析确定两种性能效率和特定硬件平台下的最佳处理器和线程数。