From the Editor | Main Blog Index
May 06, 2008
This afternoon SGI announced it will deliver NASA its next major HPC system. The 245 teraflop machine is an SGI ICE blade cluster with 20,480 Intel Xeon cores and 20 TB of memory. When installed later this summer, it will be used in tandem with the 52 teraflop Columbia supercomputer -- a shared memory Altix machine, based on Itanium processors -- to support future NASA missions. The cost of the new system was not revealed.
The agency cites the resumption of the missions to the moon (and the manned exploration of Mars) as "one of the chief reasons for securing a new, exceptionally powerful computing resource." Of course, these missions may never get funded, especially when you consider the volatility of the public commitment to space exploration and the political pressure to reduce discretionary spending at a time of looming budget deficits.
The three remaining U.S presidential candidates have all come out in general support of NASA's overall mission, but they have somewhat different takes on priorities for the agency. A recent Popular Mechanics article does a nice job of analyzing possible scenarios under new presidential leadership. From the article:
A new administration will either support the current direction of NASA or strike out on a new path. But with the space shuttle’s retirement set to free up funding in two years for the already complex Ares and Orion shots at manned orbit and lunar landing—not to mention the expanding private-space industry and struggling economy—our next decade in space remains decidedly undecided.
Even if space exploration funding gets cut back, the new SGI supercomputer is also slated to support NASA's ongoing initiatives in aeronautics, science and space operations.
Today's good news for SGI was tempered with yet another report of quarterly losses on the financial front. The company announced it was $40.6 million in the red for the third fiscal quarter of 2008, compared to a loss of $30.8 million in the second quarter and $20 million in Q3 2007. Revenue was $79 million, a $33 million year-over-year decline.
Putting a positive spin on the quarterly results, SGI CEO Bo Ewald said: "We have made great strides in continuing to execute on our strategy this quarter. We saw a 50 percent increase in orders compared to the third quarter of last year, acquired significant software assets to strengthen our business and accelerate development of our Industrial Strength Linux Environment, announced a new support solutions program to reinforce our services offerings, and continued building on solid traction in our core markets. And with new significant customer wins in April, the fourth quarter is off to a strong start as well."
Unfortunately, Ewald and company have yet to post a profitable quarter since emerging from bankruptcy in October 2006. Ewald returned to SGI as the chief exec last April in an effort to turn around the company's fortunes.
Posted by Michael Feldman - May 05, 2008 @ 9:00 PM, Pacific Daylight Time
![]()
Michael Feldman is the editor of HPCwire.
No Recent Blog Comments
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....
Read more...
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..
Read more...
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).
Read more...
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.
Read more...
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.
Read more...
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.
Read more...
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.
Read more...
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.