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	<title>Comments on: Response to Bill McColl&#8217;s parallelism post</title>
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	<link>http://insidehpc.com/2008/04/14/response-to-bill-mccolls-parallelism-post/</link>
	<description>HPC News Without the Noise for Supercomputing Professionals &#124; insideHPC</description>
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		<title>By: Domain-Specific Parallel Programming</title>
		<link>http://insidehpc.com/2008/04/14/response-to-bill-mccolls-parallelism-post/#comment-112357</link>
		<dc:creator>Domain-Specific Parallel Programming</dc:creator>
		<pubDate>Fri, 31 Oct 2008 22:28:19 +0000</pubDate>
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		<description>[...] universality that languages such as C, C++ and Java have achieved in sequential computing. My own view, based on more than 20 years of research in this area, is that this is very unlikely, certainly in [...]</description>
		<content:encoded><![CDATA[<p>[...] universality that languages such as C, C++ and Java have achieved in sequential computing. My own view, based on more than 20 years of research in this area, is that this is very unlikely, certainly in [...]</p>
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		<title>By: Computing at Scale &#187; Blog Archive &#187; Domain-Specific Parallel Programming</title>
		<link>http://insidehpc.com/2008/04/14/response-to-bill-mccolls-parallelism-post/#comment-56505</link>
		<dc:creator>Computing at Scale &#187; Blog Archive &#187; Domain-Specific Parallel Programming</dc:creator>
		<pubDate>Sun, 11 May 2008 07:47:49 +0000</pubDate>
		<guid isPermaLink="false">http://insidehpc.com/2008/04/14/response-to-bill-mccolls-parallelism-post/#comment-56505</guid>
		<description>[...] universality that languages such as C, C++ and Java have achieved in sequential computing. My own view, based on more than 20 years of research in this area, is that this is very unlikely, certainly in [...]</description>
		<content:encoded><![CDATA[<p>[...] universality that languages such as C, C++ and Java have achieved in sequential computing. My own view, based on more than 20 years of research in this area, is that this is very unlikely, certainly in [...]</p>
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		<title>By: HPCer</title>
		<link>http://insidehpc.com/2008/04/14/response-to-bill-mccolls-parallelism-post/#comment-50921</link>
		<dc:creator>HPCer</dc:creator>
		<pubDate>Thu, 17 Apr 2008 18:09:20 +0000</pubDate>
		<guid isPermaLink="false">http://insidehpc.com/2008/04/14/response-to-bill-mccolls-parallelism-post/#comment-50921</guid>
		<description>&quot;The growing consensus is that control-flow languages are on the way out and X is the new vogue&quot;

Look back through recent history, and you could find statements that put 4GLs, fuzzy logic, AI, and many other technologies in for X.  Not saying Stream couldn&#039;t be a big deal, but I&#039;m not sure I&#039;d call it a consensus just yet.</description>
		<content:encoded><![CDATA[<p>&#8220;The growing consensus is that control-flow languages are on the way out and X is the new vogue&#8221;</p>
<p>Look back through recent history, and you could find statements that put 4GLs, fuzzy logic, AI, and many other technologies in for X.  Not saying Stream couldn&#8217;t be a big deal, but I&#8217;m not sure I&#8217;d call it a consensus just yet.</p>
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	<item>
		<title>By: Amir</title>
		<link>http://insidehpc.com/2008/04/14/response-to-bill-mccolls-parallelism-post/#comment-49947</link>
		<dc:creator>Amir</dc:creator>
		<pubDate>Mon, 14 Apr 2008 20:44:39 +0000</pubDate>
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		<description>The growing consensus is that control-flow languages are on the way out and explicit dataflow graph programming (aka &quot;stream programming&quot;) is the new vogue. 

I expect the spreadsheet will continue to be the most popular language and killer application in the parallel computing age. Spreadsheets are particularly good at expressing parallel dataflow graphs and large SIMD operations and you already know how to use them.</description>
		<content:encoded><![CDATA[<p>The growing consensus is that control-flow languages are on the way out and explicit dataflow graph programming (aka &#8220;stream programming&#8221;) is the new vogue. </p>
<p>I expect the spreadsheet will continue to be the most popular language and killer application in the parallel computing age. Spreadsheets are particularly good at expressing parallel dataflow graphs and large SIMD operations and you already know how to use them.</p>
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