From the Editor | Main Blog Index
May 26, 2010
The 35th running of the TOP500 sweepstakes will take place at the International Supercomputing Conference in Germany next week, and while I haven't heard about any challengers to the reigning champ (Oak Ridge National Lab's "Jaguar" supercomputer), I expect to see a few petaflop or near-petaflop machines fill in the top 10.
Overall though, I anticipate that this will be a time of consolidation for elite supercomputers. We're sort of in a lull in major technology deployments, at least on the processor front. The spring crop of x86 server silicon from Intel and AMD is just making its way into actual systems and the next-generation NVIDIA Fermi GPU is about to do so. So wake me up in November.
That said, there are a couple of systems slated to move into the top ranks of the list, assuming, of course, that their masters turned in their Linpack homework on time. For example, there's a new GPU-accelerated super in China that is using NVIDIA gear and Mellanox' GPUDirect technology to power a petaflop system. The machine, known as the Mole-8.5, is deployed at the Institute of Process Engineering (IPE) at the Chinese Academy of Sciences and is being billed as "the first petaflop GPGPU supercomputer in China." The other system is NASA's Pleiades, which recently received of 32-rack upgrade of SGI's latest ICE 8400 hardware, boosting its aggregate performance to 973 peak teraflops. And I wouldn't be surprised if some other top systems lurking out there have been upgraded surreptitiously and are set to jump a few spots in the list.
By the way, if you're wondering where your own super -- real or imagined -- might fit in Linpack-wise, Dell has come up with a nifty little HPC performance calculator that computes theoretical (peak) and Linpack results for a given machine. The computation is based on six inputs: operations per clock, clock speed, cores per socket, sockets per node, number of nodes and Linpack efficiency. The first five inputs are straightforward enough, but the Linpack efficiency is a bit trickier. According to Dell's Dr. Jeff Layton, who developed the calculator, the efficiency estimation is usually based on a variety of factors, including the system interconnect, the number of nodes, and even the memory capacity per node.
Besides furnishing the FLOPS numbers, the Dell calculator also tells you where your machine fits into the TOP500 rankings. If the specified system is 23 Linpack teraflops or lower (that is, below the 500th spot on the latest list), the calculator spits out:
"Sorry but xxx GFLOPS is too low to rank in the current Top500 list (Nov. 2009). Get a life."
It doesn't actually say "Get a life." That's just implied.
If you want to give the performance calculator a whirl, go to Dell's Web page here and have at it.
Posted by Michael Feldman - May 26, 2010 @ 9:47 AM, 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.