February 14, 2013
For HPC and supercomputer fanatics, student cluster-building contests are the supercomputer equivalent of the NCAA college football championships. At least, they are at the major supercomputer conferences.
![]() |
|
| 2012 SCC Winners from U Texas | |
There are three major contests around the world. The Student Cluster Competition (SCC) at the US-based Supercomputing Conference (SC) is the most famous, partly because SC started the sport at its 2007 event. Usually about eight teams compete, coming from universities in the US, Europe and Asia.
At SC12, the University of Texas at Austin won the prize. Of course, it had a home advantage because the staff at the Texas Advanced Computing Center (TACC) lent a hand as advisors. The team got the highest Linpack score ever for SCC, more than a teraflop. The cluster stayed cool by bathing in mineral oil.
What about the other contests? UK's The Register has a rundown. The International Supercomputer Conference (ISC) held its first competition last year, with teams from the US, Germany and China. The 2013 meeting will feature nine competing teams. The third is the brand-new Asia Student Supercomputer Challenge (ASC), which will hold its finals this year in April in Shanghai, China. That one will feature at least 30 teams.
It takes months to prepare for the contests, including finding a sponsor to supply money and components. They then design, build, tune and test the clusters. When the conference starts, they take the systems to the competition (or run them remotely from their home country) and run applications and benchmarks for several days. Judges determine the winners, but there are often votes from the audience for "fan favorites."
There are power limitations as well; no more than 3,000 watts to run everything except the PCs monitoring the power usage.
If you're betting on winners, look for competitors from universities with their own supercomputer centers.
In the last three years, peak LINPACK performance of the student winners has increased an impressive 335 percent.
Of course, in the same time frame, the professionals competing in the TOP500 have increased their performance by over 900 percent. They have more money to spend.
Related Articles
Student Cluster Challenge Makes ISC Debut
Teams for ISC13 Student Cluster Challenge Announced
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...
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...
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.