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
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Read more...
Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
Read more...
Supercomputing veteran, Bo Ewald, has been neck-deep in bleeding edge system development since his twelve-year stint at Cray Research back in the mid-1980s, which was followed by his tenure at large organizations like SGI and startups, including Scale Eight Corporation and Linux Networx. He has put his weight behind quantum company....
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...
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...
May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
Read more...
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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.