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📁 国外MPI教材
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"    "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"><html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en"><head>	<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1" />	<style type="text/css">	body { font-family: Verdana, Arial, Helvetica, sans-serif;}	a.at-term {	font-style: italic; }	</style>	<title>Codes that do not scale well with MPI</title>	<meta name="Generator" content="ATutor">	<meta name="Keywords" content=""></head><body> <p>MPI is most efficient when communication is minimized (or can be overlapped with computation), i.e., for coarse-grained problems. Increasing communication overheads may put an effective limit on how far you can scale an MPI application. 
Codes that make heavy use of collective communications especially all-to-all type operations may be particularly sensitive to this. </p>

<p>Adding an OpenMP layer may allow you to extend the application to larger numbers of processors than would be feasible with MPI alone, or to take advantage of opportunities for fine-grained parallelism, for which MPI may not be well suited. 
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