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April 26, 2012
Want to be the first one on your block to own a Kepler Tesla GPU? NVIDIA will be giving three of them away as prizes for a petaflop application contest they are hosting. According to a blog post by Nvidian Sumit Gupta, they are looking for "proposals from researchers around the world on what you would do if you had access to a dedicated petaflop supercomputer."
Of course, a single Tesla Kepler card won't get you to a petaflop. Although NVIDIA hasn't talked about absolute performance numbers for the upcoming Tesla parts, the new GPU should deliver well north of one teraflop (double precision), which means you'd only need several hundred of the devices to join the petaflop club.
Given that, Gupta says that the new Tesla GPUs will enable "any university in the world" to build and host a petaflop supercomputer. Today virtually all of those systems (currently around 20, worldwide) are sitting in national labs or large federally funded research facilities. The implication is that Kepler will bring petascale computing to the local level.
So if you think you have a killer app for petaflop computing, follow the link to the blog and have at it. NVIDIA will announce the top three entries at the company's upcoming GPU Technology Conference in May.
In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.