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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>MPI Performance Characteristics</title> <meta name="Generator" content="ATutor"> <meta name="Keywords" content=""></head><body> <p>MPI is generally most effective for problems with "coarse-grained" parallelism, for which </p>
<ul>
<li>the problem decomposes into quasi-independent pieces</li>
<li>communication needs (including synchronization) are minimized </li>
</ul>
<p>MPI affords a fine control over inter-processor communication that can lead to very high efficiency. You can often <em>overlap</em> communication and computation, so that the effective cost of communication is reduced to a very low level. There is always a limit to scaling, however, for a fixed problem size. </p></body></html>⌨️ 快捷键说明
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