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		<title>Descriptif ED1415-S10 - Historique des versions</title>
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			<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>
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			<description>&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;</description>
			<pubDate>Wed, 15 Apr 2015 12:33:16 GMT</pubDate>			<dc:creator>Narteau</dc:creator>			<comments>http://ed560.ipgp.fr/index.php/Discussion:Descriptif_ED1415-S10</comments>		</item>
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