<?xml version="1.0" encoding="utf-8"?><rss version="2.0"><channel><title>RSS for Flexible Data Distribution in PGHPF</title><link>http://academic.research.microsoft.com/Rss.aspx?cata=9&amp;id=644566</link><description>Search RSS feed for Microsoft Academic Search</description><generator>MSRA Libra RSS Burner</generator><copyright>(c)2008 Microsoft Corpration, All right reserved.</copyright><pubDate>Fri, 24 May 2013 04:00:26 GMT</pubDate><lastBuildDate>Fri, 24 May 2013 04:00:26 GMT</lastBuildDate><category /><item><title>Flexible Data Distribution in PGHPF</title><link>http://academic.research.microsoft.com/Publication/644566</link><pubDate>Thu, 23 May 2013 21:00:26 GMT</pubDate><guid isPermaLink="false">6445661</guid><description><![CDATA[<div><a href="http://academic.research.microsoft.com/Author/2415168">Mark Leair</a>, <a href="http://academic.research.microsoft.com/Author/54735797">Douglas Miles</a>, <a href="http://academic.research.microsoft.com/Author/551778">Vincent Schuster</a>, <a href="http://academic.research.microsoft.com/Author/2463548">Michael Wolfe</a>:
            
            <span style="margin-left:20px">(Citations:1)</span><span style="margin-left:20px"><a href="http://www.springerlink.com/content/87prgqay6u52ktqj">view publication</a></span></div><div>We have implemented the GEN BLOCK (generalized block) <a href='http://academic.research.microsoft.com/Keyword/8993/data-distribution'>data distribution</a>  in PGHPF, our <a href='http://academic.research.microsoft.com/Keyword/18105/high-performance-fortran'>High Performance Fortran</a>  implementation. Compared to a BLOCK or CYCLIC distribution, the more flexible GEN BLOCK distribution allows users to balance the load between processors. Simple benchmark programs demonstrate the benefits of the new distribution format for unbalanced work loads, getting speedup of up to 2X over simple distributions. We also show performance results for a whole application. </div><div>Conference: <a href="http://academic.research.microsoft.com/Conference/691">European Conference on Parallel Processing - Euro-Par</a>, pp. 418-421, 1999</div><div></div><div />]]></description></item></channel></rss>