<?xml version="1.0"?>
<?xml-stylesheet type="text/css" href="http://ed560.ipgp.fr/skins/common/feed.css?207"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="fr">
		<id>http://ed560.ipgp.fr/index.php?action=history&amp;feed=atom&amp;title=Descriptif_ED1415-S10</id>
		<title>Descriptif ED1415-S10 - Historique des versions</title>
		<link rel="self" type="application/atom+xml" href="http://ed560.ipgp.fr/index.php?action=history&amp;feed=atom&amp;title=Descriptif_ED1415-S10"/>
		<link rel="alternate" type="text/html" href="http://ed560.ipgp.fr/index.php?title=Descriptif_ED1415-S10&amp;action=history"/>
		<updated>2026-06-05T19:16:23Z</updated>
		<subtitle>Historique pour cette page sur le wiki</subtitle>
		<generator>MediaWiki 1.15.1</generator>

	<entry>
		<id>http://ed560.ipgp.fr/index.php?title=Descriptif_ED1415-S10&amp;diff=11559&amp;oldid=prev</id>
		<title>Narteau&amp;nbsp;:&amp;#32;Page créée avec « *Day 1 (April 22nd) **GPU vs CPU architecture. Memory hierarchy (briefly). **Approaches to distribute data among threads and thread blocks. **Shared memory. **Asynchronous op… »</title>
		<link rel="alternate" type="text/html" href="http://ed560.ipgp.fr/index.php?title=Descriptif_ED1415-S10&amp;diff=11559&amp;oldid=prev"/>
				<updated>2015-04-15T12:33:16Z</updated>
		
		<summary type="html">&lt;p&gt;Page créée avec « *Day 1 (April 22nd) **GPU vs CPU architecture. Memory hierarchy (briefly). **Approaches to distribute data among threads and thread blocks. **Shared memory. **Asynchronous op… »&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Nouvelle page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;*Day 1 (April 22nd)&lt;br /&gt;
**GPU vs CPU architecture. Memory hierarchy (briefly).&lt;br /&gt;
**Approaches to distribute data among threads and thread blocks.&lt;br /&gt;
**Shared memory.&lt;br /&gt;
**Asynchronous operations. CUDA streams.&lt;br /&gt;
**Visualization of time lines.&lt;br /&gt;
**OpenACC. Compiler's directives to program GPU.&lt;br /&gt;
**Practical part.&lt;br /&gt;
&lt;br /&gt;
*Day 2 (April 24th)&lt;br /&gt;
**Application of GPU to solving challenging tasks. Different approaches and application are discussed.&lt;br /&gt;
**Multiple GPU.&lt;br /&gt;
**GPU optimized libraries.&lt;br /&gt;
**Practical part.&lt;br /&gt;
&lt;br /&gt;
*Day 3 (May 26th)&lt;br /&gt;
**GPU program optimization&lt;br /&gt;
**CUDA + FORTRAN/Java/Python/C&lt;br /&gt;
**Answering question and discussions. Here I plan to help researchers to find the way to adapt their code to GPU and make it effectively use compute resources.&lt;/div&gt;</summary>
		<author><name>Narteau</name></author>	</entry>

	</feed>