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	<title>vetta project &#187; Supercomputers</title>
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		<title>Tick, tock, tick, tock&#8230;</title>
		<link>http://www.vetta.org/2009/02/tick-tock-tick-tock/</link>
		<comments>http://www.vetta.org/2009/02/tick-tock-tick-tock/#comments</comments>
		<pubDate>Mon, 09 Feb 2009 12:40:30 +0000</pubDate>
		<dc:creator>Shane Legg</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[AGI]]></category>
		<category><![CDATA[Computer Power]]></category>
		<category><![CDATA[Hardware]]></category>
		<category><![CDATA[Singularity]]></category>
		<category><![CDATA[Supercomputers]]></category>

		<guid isPermaLink="false">http://www.vetta.org/?p=144</guid>
		<description><![CDATA[I recently read about IBM&#8217;s Sequoia supercomputer that will be operational in 2011.  It will perform 20 Peta FLOPS and have 1.6 Peta bytes of RAM.  To put that in perspective: if it were to attempt to simulation a human &#8230; <a href="http://www.vetta.org/2009/02/tick-tock-tick-tock/">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
			<content:encoded><![CDATA[<p>I recently read about IBM&#8217;s<a href="http://news.zdnet.co.uk/hardware/0,1000000091,39610058,00.htm"> Sequoia supercomputer</a> that will be operational in 2011.  It will perform 20 Peta FLOPS and have 1.6 Peta bytes of RAM.  To put that in perspective: if it were to attempt to simulation a human cerebral cortex it would be able to allocate 50 bytes of RAM and 700 calculations per second to every synapse in the model.  Unless the human brain is doing something pretty weird, the quest to build a computer with comparable raw processing power is almost over.</p>
<p>As I do at the start of each year, I&#8217;ve spent some time reconsidering when I think roughly human level AGI will exist.  I&#8217;ve again decided to leave it at 2025, but now with a reduced standard deviation of 5 years.  Computer power is a limitation as researchers typically have limited hardware budgets, unlike the DOD guys and their monster supercomputers.  From what I&#8217;ve read, computer power should continue to grow exponentially for at least the next 5 years, and probably the next 10.  So I don&#8217;t see this as being too much of an issue in the coming decade.  On the algorithm side, I think things are progressing really well.  I know a number of very talented people who are working on what I think are the key building blocks required before the construction of a basic AGI can begin.  I&#8217;m certain these problems are solvable, but whether it takes 2 years or 10 years is hard to guess.  This is my main source of uncertainty.</p>
<p><span id="more-144"></span>UPDATE 11 April 2009: Note that these predictions do not take into account my apparent bias towards predicting that things will happen faster than they actually do (see previous post).  The required compensation for technology events appears to be about 50% more time.  Thus if you want the &#8220;Shane meta predictor&#8221;, then take 2033 as the expected date, perhaps with a standard deviation of 7 years.  At least with financial markets I trust my meta predictor more than my straight predictions and thus I buy and sell accordingly to it.  So I suppose that if I had to put money on a date, I should go with 2033.  But don&#8217;t ask me why it&#8217;s going to take that long: I really don&#8217;t know.</p>
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		<slash:comments>28</slash:comments>
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		<title>2.4 Tera FLOPS per card</title>
		<link>http://www.vetta.org/2008/07/24-tera-flops-per-card/</link>
		<comments>http://www.vetta.org/2008/07/24-tera-flops-per-card/#comments</comments>
		<pubDate>Mon, 14 Jul 2008 20:35:19 +0000</pubDate>
		<dc:creator>Shane Legg</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Computer Power]]></category>
		<category><![CDATA[Hardware]]></category>
		<category><![CDATA[Singularity]]></category>
		<category><![CDATA[Supercomputers]]></category>

		<guid isPermaLink="false">http://www.vetta.org/?p=70</guid>
		<description><![CDATA[Remember when I was raving about nVidia&#8217;s new GTX 280 graphics card that crunches 1 Tera FLOPS? Yeah, well, that was 3 weeks ago. Today, Radeon&#8217;s new HD 4870 X2 graphics card has 1600 stream processors that crunch 2.4 Tera &#8230; <a href="http://www.vetta.org/2008/07/24-tera-flops-per-card/">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
			<content:encoded><![CDATA[<p>Remember when I was raving about nVidia&#8217;s new <a href="http://www.vetta.org/2008/06/super-computer-on-a-chip/">GTX 280</a> graphics card that crunches 1 Tera FLOPS?</p>
<p>Yeah, well, that was 3 weeks ago.</p>
<p>Today, Radeon&#8217;s new <a href="http://techreport.com/articles.x/15105">HD 4870 X2</a> graphics card has 1600 stream processors that crunch 2.4 Tera FLOPS.</p>
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		<title>Neural networks with Nvidia CUDA</title>
		<link>http://www.vetta.org/2008/06/neural-networks-with-nvidia-cuda/</link>
		<comments>http://www.vetta.org/2008/06/neural-networks-with-nvidia-cuda/#comments</comments>
		<pubDate>Mon, 09 Jun 2008 14:37:16 +0000</pubDate>
		<dc:creator>Shane Legg</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Computer Power]]></category>
		<category><![CDATA[Hardware]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Neuroscience]]></category>
		<category><![CDATA[nVidia]]></category>
		<category><![CDATA[Singularity]]></category>
		<category><![CDATA[Supercomputers]]></category>

		<guid isPermaLink="false">http://www.vetta.org/?p=59</guid>
		<description><![CDATA[If Roadrunner is a bit beyond your budget, simulating neural networks with GPUs might be an option: The next generation of Nvidia GPUs will support enhancements such as double precision floating point in order to make them more suitable for &#8230; <a href="http://www.vetta.org/2008/06/neural-networks-with-nvidia-cuda/">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
			<content:encoded><![CDATA[<p>If Roadrunner is a bit beyond your budget, simulating neural networks with GPUs might be an option:</p>
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<p>The next generation of Nvidia GPUs will support enhancements such as double precision floating point in order to make them more suitable for general purpose highly parallel computation.   There will also be cards with no graphics interface and greater maximum RAM designed specifically for low cost supercomputing applications.</p>
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