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Michael Feldman
NVIDIA Gears Up for GPU Computing Event
Post Date: September 29, 2009 @ 10:45 PM, Pacific Daylight Time
Blog: From the Editor
Chipmaker is cooking up something big.
Michael Feldman
The Shape of Chips to Come
Post Date: September 24, 2009 @ 5:31 PM, Pacific Daylight Time
Blog: From the Editor
Larrabee, Westmere, and "microserver" chips: Intel talks up its future silicon at IDF.
Michael Feldman
Microsoft Snaps Up Interactive Supercomputing
Post Date: September 22, 2009 @ 10:48 AM, Pacific Daylight Time
Blog: From the Editor
Star-P technology to be folded into Microsoft's HPC effort.
Michael Feldman
Inhuman Models
Post Date: September 17, 2009 @ 7:14 PM, Pacific Daylight Time
Blog: From the Editor
The perils of ignoring human behavior when modeling reality.
Michael Feldman
Low Latency 10 GigE Looks to Build HPC Cred
Post Date: September 10, 2009 @ 5:10 PM, Pacific Daylight Time
Blog: From the Editor
A focus on low latency is giving a new breed of Ethernet switch vendors a leg up on their competition.
Michael Feldman
SSDs Make Entrance into HPC... Finally
Post Date: September 03, 2009 @ 5:22 PM, Pacific Daylight Time
Blog: From the Editor
Got flash?
Michael Feldman
Chipmakers Keep Pouring on the Cores
Post Date: August 27, 2009 @ 5:30 PM, Pacific Daylight Time
Blog: From the Editor
With a new generation of server processors in the offing, 2010 promises to be chockful of multicore goodness.
Michael Feldman
Platform MPI, Take Two
Post Date: August 26, 2009 @ 3:59 PM, Pacific Daylight Time
Blog: From the Editor
Platform Computing continues in its quest to be a one-stop shop for cluster middleware.
Michael Feldman
RapidMind Gets Swallowed by Intel
Post Date: August 20, 2009 @ 6:29 PM, Pacific Daylight Time
Blog: From the Editor
Another one bites the dust.
Michael Feldman
SGI Rumored to Dump Graphics Visualization Group
Post Date: August 20, 2009 @ 6:04 PM, Pacific Daylight Time
Blog: From the Editor
The SGI rumor mill keeps grinding along.
2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | Recent
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....
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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..
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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).
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May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
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May 22, 2013 |
At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
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May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
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May 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
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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.