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Michael Feldman
Parallel Vision
Post Date: August 02, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
As computer vendors apply themselves to the task of unleashing parallel computing, it's hard not to see a certain convergence of ideas and approaches. At least your favorite editor thinks so.
Michael Feldman
The End Game
Post Date: July 26, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
Performance is so yesterday. Productivity is the new game. But what's next? Editor Michael Feldman offers his thoughts on where this is all leading.
Michael Feldman
Because It's There?
Post Date: July 19, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
With last month's announcement of the Constellation System, Sun officially re-entered the elite realm of high-end supercomputing. HP might not be far behind. Why the sudden interest in a business segment with little prospect for growth?
Michael Feldman
What the Top500 Doesn't Tell Us
Post Date: July 12, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
The new Top500 list is out. But how useful is it? Editor Michael Feldman talks about a few things he'd like to see added to the list.
Michael Feldman
A Half-Year Retrospective
Post Date: July 05, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
For high performance computing, 2007 has already been an event-filled year and it's only half over. Editor Michael Feldman recaps some of the more significant news since January.
Michael Feldman
HPC Vendors Stir the Pot at ISC
Post Date: June 28, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
As a runner-up to the much larger Supercomputing Conference held in November, the International Supercomputing Conference (ISC) in Dresden, Germany is a convenient platform for delivering mid-year HPC product announcements and company happenings. There was plenty to go around this year. Editor Michael Feldman looks at some of the more noteworthy news delivered at the event.
Michael Feldman
Wall Street Rides HPC Into the Future
Post Date: June 21, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
If you want to know where high performance computing is headed, just follow the money. In particular, look at how aggressively Wall Street is applying advanced computing infrastructure in their quest to expand profits.
Michael Feldman
PeakStream Dissolution Shines Spotlight on Stream Computing
Post Date: June 14, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
With the buzz still in the air about Google's acquistion of PeakStream, editor Michael Feldman takes one more look at the ramifications of the transaction. He also gets some feedback from the CEO of RapidMind, the last vendor standing for high-level stream computing.
Michael Feldman
PeakStream Gets Swallowed; Cray Gets Bitten
Post Date: June 07, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
This week we were reminded how relatively minor events at big IT companies can produce serious consequences in the HPC community. For example, by slipping the delivery of its low-end quad-core Opteron, AMD sent Cray to the the land of the almost-profitable.Meanwhile, Google used some pocket change to make PeakStream disappear.
Michael Feldman
InfiniBand Rides HPC Wave Into the Enterprise
Post Date: May 31, 2007 @ 9:00 PM, Pacific Daylight Time
Blog: From the Editor
Last week, IDC released a report that projects a rather healthy future for InfiniBand adoption. While the interconnect has represented the premier fabric for HPC clusters, applications in other IT sectors are beginning to discover that high peformance and low-latency communication are not just for supercomputing.
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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.