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		<title>KQED Warns Of Supercomputing â€˜Energy Wallâ€™ â€“ NVIDIA Helps Scale It With GPUs</title>
		<link>http://www.pcnewszone.com/2011/07/02/kqed-warns-of-supercomputing-%e2%80%98energy-wall%e2%80%99-%e2%80%93-nvidia-helps-scale-it-with-gpus/</link>
		<comments>http://www.pcnewszone.com/2011/07/02/kqed-warns-of-supercomputing-%e2%80%98energy-wall%e2%80%99-%e2%80%93-nvidia-helps-scale-it-with-gpus/#comments</comments>
		<pubDate>Sat, 02 Jul 2011 09:00:47 +0000</pubDate>
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		<description><![CDATA[Lauren Sommer wrote a great blog over the weekend on KQED about how supercomputers have hit the &#8220;energy wall&#8221; &#8211; a decidedly real supercomputing problem that NVIDIA&#8217;s GPU technology can help to overcome. This is what 1,000 homes looks like. The blog post mentions the Hopper supercomputer, located at the Lawrence Berkeley National Lab (LBNL). The system consumes 3 megawatts of electricity (enough to power 2,000-3,000 homes a year) and has performance of 1 petaflop per second (equivalent to about 68,000 laptops). It&#8217;s hard to imagine these numbers scaling to exascale systems &#8211; the &#8220;energy wall&#8221; here would just be too high to reasonably surmount. In fact, I just got back from the International Supercomputing Conference in Hamburg, where the running joke was that power companies would soon be giving supercomputers away for free if you sign up for a five-year power contract with them. Here at NVIDIA, we&#8217;ve been working on a solution to the supercomputing power crisis for several years. Supercomputers can use NVIDIA Tesla GPUs to dramatically accelerate supercomputing applications. Like a turbocharger on your car, GPUs kick in to boost your standard Intel or AMD CPUs when you need the extra oomph. Using GPUs is a much more energy efficient way of supercomputing.&#160; You choose the right processor to the do the right job.&#160; When I edit pictures of my kids, for example, my computer&#8217;s sequential Intel or AMD x86 CPU is used to access the hard disk, retrieve the file, and open it. &#160;Once the picture is open, and I want to do red-eye reduction or remove the blur, the GPU kicks into gear to accelerate the job. Three of the Top Five supercomputers in the world are accelerated by NVIDIA Tesla GPUs. One of these is the Tsubame 2.0 system at the Tokyo Institute of Technology. Like the Hopper system at LBNL, it delivers 1 petaflop per second of performance. But thanks to its GPUs, it consumes less than half the power of the Hopper system.&#160; To be exact, Tsubame achieves 1.19 Petaflop/sec and sips a &#8220;mere&#8221; 1.4 megawatts of electricity. Half the power for the same performance is a big leap forward. But we have a long road ahead, especially as we move towards exascale supercomputers that will be 1,000 times more powerful than the current petaflop supers. Otherwise, the power companies will indeed start giving away supercomputers away for free!<div class='yarpp-related-rss'>

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				<content:encoded><![CDATA[Lauren Sommer wrote a great blog over the weekend on KQED about how supercomputers have hit the &ldquo;energy wall&rdquo; &ndash; a decidedly real supercomputing problem that NVIDIA&rsquo;s GPU technology can help to overcome. This is what 1,000 homes looks like. The blog post mentions the Hopper supercomputer, located at the Lawrence Berkeley National Lab (LBNL). The system consumes 3 megawatts of electricity (enough to power 2,000-3,000 homes a year) and has performance of 1 petaflop per second (equivalent to about 68,000 laptops). It&rsquo;s hard to imagine these numbers scaling to exascale systems &ndash; the &ldquo;energy wall&rdquo; here would just be too high to reasonably surmount. In fact, I just got back from the International Supercomputing Conference in Hamburg, where the running joke was that power companies would soon be giving supercomputers away for free if you sign up for a five-year power contract with them. Here at NVIDIA, we&rsquo;ve been working on a solution to the supercomputing power crisis for several years. Supercomputers can use NVIDIA Tesla GPUs to dramatically accelerate supercomputing applications. Like a turbocharger on your car, GPUs kick in to boost your standard Intel or AMD CPUs when you need the extra oomph. Using GPUs is a much more energy efficient way of supercomputing.&nbsp; You choose the right processor to the do the right job.&nbsp; When I edit pictures of my kids, for example, my computer&rsquo;s sequential Intel or AMD x86 CPU is used to access the hard disk, retrieve the file, and open it. &nbsp;Once the picture is open, and I want to do red-eye reduction or remove the blur, the GPU kicks into gear to accelerate the job. Three of the Top Five supercomputers in the world are accelerated by NVIDIA Tesla GPUs. One of these is the Tsubame 2.0 system at the Tokyo Institute of Technology. Like the Hopper system at LBNL, it delivers 1 petaflop per second of performance. But thanks to its GPUs, it consumes less than half the power of the Hopper system.&nbsp; To be exact, Tsubame achieves 1.19 Petaflop/sec and sips a &ldquo;mere&rdquo; 1.4 megawatts of electricity. Half the power for the same performance is a big leap forward. But we have a long road ahead, especially as we move towards exascale supercomputers that will be 1,000 times more powerful than the current petaflop supers. Otherwise, the power companies will indeed start giving away supercomputers away for free! <!-- tag reader s --><div style="display:none"><a rel="tag">Supercomputing</a><a rel="tag">CUDA</a><a rel="tag">GPGPU</a><a rel="tag">gpu computing</a><a rel="tag">hpc</a><a rel="tag">Tesla</a><a rel="tag">uhpc</a><a rel="tag">Nvidia</a><a rel="tag">KQED</a><a rel="tag">Energy Wall</a></div><!-- tag reader e --><div class='yarpp-related-rss'>
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]]></content:encoded>
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		<title>Cray Unleashes XK6 Supercomputer with AMD&#8217;s Next-Generation Opteron &#8220;Interlagos&#8221; and Nvidia Tesla.</title>
		<link>http://www.pcnewszone.com/2011/05/28/cray-unleashes-xk6-supercomputer-with-amds-next-generation-opteron-interlagos-and-nvidia-tesla/</link>
		<comments>http://www.pcnewszone.com/2011/05/28/cray-unleashes-xk6-supercomputer-with-amds-next-generation-opteron-interlagos-and-nvidia-tesla/#comments</comments>
		<pubDate>Sat, 28 May 2011 19:54:46 +0000</pubDate>
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		<guid isPermaLink="false">http://www.pcnewszone.com/?p=92</guid>
		<description><![CDATA[Cray, a leading builder of supercomputers, this week announced the launch of the company&#8217;s new production hybrid supercomputing system &#8211; the Cray XK6 supercomputer. The highly anticipated new supercomputer will combine Cray&#8217;s Gemini interconnect, AMD Opteron 6200-series processors (code-named &#8220;Interlagos&#8221;) and Nvidia Tesla 20-series compute cards. &#8220;We built the world&#8217;s first production petaflops system with [&#8230;]<div class='yarpp-related-rss yarpp-related-none'>

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				<content:encoded><![CDATA[<p>Cray, a leading builder of supercomputers, this week announced the launch of the company&#8217;s new production hybrid supercomputing system &#8211; the Cray XK6 supercomputer. The highly anticipated new supercomputer will combine Cray&#8217;s Gemini interconnect, AMD Opteron 6200-series processors (code-named &#8220;Interlagos&#8221;) and Nvidia Tesla 20-series compute cards.</p>
<p>&#8220;We built the world&#8217;s first production petaflops system with the Cray XT5 supercomputer, reinvented high performance networking with the Gemini interconnect, and we are now redefining accelerator-based supercomputing with the unified GPU and scalar technologies built into the Cray XK6 system,&#8221; said Barry Bolding, vice president of Cray&#8217;s product division.</p>
<p>A powerful addition to Cray&#8217;s line of highly-advanced supercomputers, the Cray XK6 system pairs AMD&#8217;s next-generation Opteron processors with up to 16 cores code-named Interlagos powered by the Bulldozer micro-architecture (up to 96 per cabinet) and Nvidia Tesla X2090-series compute cards (up to 96 per cabinet) to create a true hybrid supercomputer with intra-node flexibility. By combining AMD Opteron processors with Nvidia GPUs, the compute node in the Cray XK6 system gives users the option to run applications with either scalar or accelerator components with up to 70TFLOPS of compute performance per cabinet. The Cray XK6 compute blades can also be blended with Cray XE6 compute blades into a single, multi-purpose supercomputing system.</p>
<p>Upgradeable from Cray XT4, Cray XT5, Cray XT6 or Cray XE6 systems, the Cray XK6 system is expected to be available in the second half of 2011. It can be configured in a single cabinet with tens of compute nodes, to a multi-cabinet system with tens of thousands of compute nodes.</p>
<p>The Cray XK6 system introduces an new approach to increasing programmer productivity with a unified x86/GPU programming environment that includes tested and powerful tools, libraries, compilers and third-party software. When combined with the Cray Linux Environment, the result is a fully integrated Cray supercomputer that blends scalable hardware, software and a network. Cray XK6 customers will be able to utilize the capabilities of a multi-purpose supercomputer designed for the next-generation of many-core, high performance computing (HPC) applications.</p>
<p>&#8220;Every aspect of the Cray XK6 has been engineered to meet the real-world performance demands of researchers and scientists tasked with solving the world&#8217;s grand challenges. [...] We are leveraging our expertise to create a scalable hybrid supercomputer &#8211; and the associated first-generation of a unified x86/GPU programming environment &#8211; that will allow the system to more productively meet the scientific challenges of today and tomorrow,&#8221; added Mr. Bolding.</p>
<p>The Swiss National Supercomputing Centre (CSCS) in Manno, Switzerland is Cray&#8217;s first customer for the new Cray XK6 system. CSCS, which develops and promotes technical and scientific services for the Swiss research community in the field of HPC, signed a contract with Cray to upgrade its Cray XE6m system, nicknamed &#8220;Piz Palu,&#8221; to a multi-cabinet Cray XK6 supercomputer.</p>
<p>&#8220;GPUs are playing an increasingly important role in high performance computing as researchers and scientists look to augment the CPU performance on certain codes. Cray is a leader in the high-end of the supercomputing market and has designed, built and installed some of the world&#8217;s most powerful systems. The company has decades of experience in successfully integrating hybrid processor types into large scale systems. This strategy of hybrid supercomputing is extremely valuable, and Cray is in a good position to take advantage of it,&#8221; said Earl Joseph, IDC program vice president for HPC.</p>
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