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      <title>Multi-threaded Application Tuning Based On Reinforcement Learning</title>
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      <abstractText>Developers of complex applications often face the problem of tuning free parameters
of the software to optimize performance. The number of the processing threads
is often such a tunable parameter. This tuning phase is typically done in design and
development time, and require solid knowledge of the underlying software and hardware
infrastructure. In this paper we tempt to construct a framework for self-tuning
multi-threaded applications, able to adapt to their running environment automatically.
To ensure on-line adaptiveness tunable parameters are tempted to set runtime. For
optimal parameter tuning we used reinforcement learning.</abstractText>
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&lt;span class=&quot;author-affil&quot;&gt;&lt;span title=&quot;Budapest University of Technology and Economics&quot;&gt;BUTE&lt;/span&gt;/&lt;span title=&quot;Faculty of Electrical Engineering and Informatics&quot;&gt;FEEI&lt;/span&gt;/Department of Automation and Applied Informatics&lt;/span&gt;
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																				   href=&quot;/gui2/?type=authors&amp;mode=browse&amp;sel=10041261&quot; target=&quot;_blank&quot;&gt;Gincsai Gábor
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&lt;span class=&quot;author-affil&quot;&gt;&lt;span title=&quot;Budapest University of Technology and Economics&quot;&gt;BUTE&lt;/span&gt;/&lt;span title=&quot;Faculty of Electrical Engineering and Informatics&quot;&gt;FEEI&lt;/span&gt;/Department of Automation and Applied Informatics&lt;/span&gt;

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&lt;div class=&quot;title&quot;&gt;&lt;a href=&quot;/gui2/?mode=browse&amp;params=publication;2651944&quot; target=&quot;_blank&quot;&gt;Multi-threaded Application Tuning Based On Reinforcement Learning&lt;/a&gt;&lt;/div&gt;    &lt;div class=&quot;InBook&quot;&gt;&lt;div class=&quot;chapter-in&quot;&gt;In:&lt;/div&gt;         &lt;div class=&quot;authors&quot;&gt;

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            &lt;span class=&quot;authorAux-mtmt&quot;&gt; Irányítástechnika, műszaki informatika&lt;/span&gt;)
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&lt;span class=&quot;author-affil&quot;&gt;&lt;span title=&quot;Budapest University of Technology and Economics&quot;&gt;BUTE&lt;/span&gt;/&lt;span title=&quot;Faculty of Electrical Engineering and Informatics&quot;&gt;FEEI&lt;/span&gt;/Department of Automation and Applied Informatics&lt;/span&gt;

			(eds.)	    &lt;/div&gt;
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        &lt;div class=&quot;booktitle&quot;&gt;&lt;a href=&quot;/gui2/?mode=browse&amp;params=publication;2605353&quot; target=&quot;_blank&quot;&gt;Proceedings of the Automation and Applied Computer Science Workshop, AACS’06 &lt;/a&gt;&lt;/div&gt;
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	Conference: 
    &lt;span class=&quot;location&quot;&gt;Bp, Hungary
        &lt;span class=&quot;conference-date&quot;&gt;2006.06.30.
             - 
            2006.06.30.&lt;/span&gt;
    
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	pp 155-160
			
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    &lt;div class=&quot;mtid&quot;&gt;&lt;span class=&quot;long-pub-mtid&quot;&gt;Publication: 2651944&lt;/span&gt;
    | &lt;span class=&quot;status-data status-VALIDATED&quot;&gt; 	Validated
  &lt;/span&gt;
        &lt;span class=&quot;long-book-mtid&quot;&gt;Book: 2605353&lt;/span&gt;
	&lt;span class=&quot;oldId&quot;&gt;Old id: 2651944&lt;/span&gt; | 
	&lt;span class=&quot;oldId&quot;&gt;Book: 2605353&lt;/span&gt;
Core	
	
	
    | &lt;span class=&quot;type-subtype&quot;&gt;Chapter in Book
			( Conference paper
			
			)
		&lt;/span&gt;
      		| &lt;span class=&quot;pub-category&quot;&gt;Scientific&lt;/span&gt;
	| &lt;span class=&quot;publication-sourceOfData&quot;&gt;kézi felvitel&lt;/span&gt;
&lt;/div&gt;


&lt;div class=&quot;lastModified&quot;&gt;Last Modified: 2025.05.09. 16:16 Gusztáv Ladányi (MTMT API user, admin)
&lt;/div&gt;


        &lt;div class=&quot;lockedBy&quot;&gt;Centrally managed 2025.05.09. 16:16  Gusztáv Ladányi (MTMT API user, admin)
        &lt;/div&gt;



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