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	<title>Multi-processing &#8211; Cerbero Blog</title>
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		<title>Sleigh Decompiler Parallelization</title>
		<link>https://blog.cerbero.io/sleigh-decompiler-parallelization/</link>
					<comments>https://blog.cerbero.io/sleigh-decompiler-parallelization/#respond</comments>
		
		<dc:creator><![CDATA[Erik Pistelli]]></dc:creator>
		<pubDate>Tue, 30 Nov 2021 08:00:18 +0000</pubDate>
				<category><![CDATA[Suite Advanced]]></category>
		<category><![CDATA[decompiler]]></category>
		<category><![CDATA[Multi-processing]]></category>
		<category><![CDATA[sleigh]]></category>
		<guid isPermaLink="false">https://blog.cerbero.io/?p=2286</guid>

					<description><![CDATA[In the upcoming Cerbero Suite 5.2 we used our new multi-processing technology (part 1, part 2) to parallelize the Sleigh decompiler by running it in a different process. This guarantees complete stability in case Sleigh encounters an issue and makes every decompiling operation safe to cancel. We didn&#8217;t notice slow-downs by running the decompiler in &#8230; <a href="https://blog.cerbero.io/sleigh-decompiler-parallelization/" class="more-link">Continue reading<span class="screen-reader-text"> "Sleigh Decompiler Parallelization"</span></a>]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">2286</post-id>	</item>
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		<title>Remote Containers</title>
		<link>https://blog.cerbero.io/remote-containers/</link>
					<comments>https://blog.cerbero.io/remote-containers/#respond</comments>
		
		<dc:creator><![CDATA[Erik Pistelli]]></dc:creator>
		<pubDate>Wed, 24 Nov 2021 08:00:22 +0000</pubDate>
				<category><![CDATA[Engine]]></category>
		<category><![CDATA[Suite Advanced]]></category>
		<category><![CDATA[Suite Standard]]></category>
		<category><![CDATA[Multi-processing]]></category>
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					<description><![CDATA[In our previous post we introduced multi-processing as implemented in the upcoming Cerbero Suite 5.2 and Cerbero Engine 2.2. In this post we&#8217;re going to talk about remote containers, which are an additional functionality of our multi-processing technology. Containers (NTContainer) are a way to encapsulate any kind of raw data (e.g.: memory, files) and are &#8230; <a href="https://blog.cerbero.io/remote-containers/" class="more-link">Continue reading<span class="screen-reader-text"> "Remote Containers"</span></a>]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">2280</post-id>	</item>
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		<title>Introducing Multi-Processing</title>
		<link>https://blog.cerbero.io/introducing-multi-processing/</link>
					<comments>https://blog.cerbero.io/introducing-multi-processing/#respond</comments>
		
		<dc:creator><![CDATA[Erik Pistelli]]></dc:creator>
		<pubDate>Tue, 16 Nov 2021 08:00:04 +0000</pubDate>
				<category><![CDATA[Suite Advanced]]></category>
		<category><![CDATA[Suite Standard]]></category>
		<category><![CDATA[Multi-processing]]></category>
		<guid isPermaLink="false">https://blog.cerbero.io/?p=2270</guid>

					<description><![CDATA[We&#8217;re proud to announce the introduction of multi-processing in the upcoming Cerbero Suite 5.2 and Cerbero Engine 2.2. Our products make use of parallel processing in terms of multi-threading whenever possible, but there are limitations to the capabilities of multi-threading. Some of the advantages offered by multi-processing are: Possible process isolation Increased stability for 3rd &#8230; <a href="https://blog.cerbero.io/introducing-multi-processing/" class="more-link">Continue reading<span class="screen-reader-text"> "Introducing Multi-Processing"</span></a>]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">2270</post-id>	</item>
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