November 20, 2012
AUSTIN, Texas, Nov. 20 ― The University of Texas at Austin team, mentored by staff of the Texas Advanced Computing Center (TACC), won the seventh annual Student Cluster Competition (SCC) this year at the Supercomputing ’12 (SC12) conference in Salt Lake City, Utah.
SC12 has been the seminal international conference for high-performance computing (HPC) for the past 24 years.
The SCC competition challenges rival teams of university undergraduates in a 72-hour-battle to prove that they can design, build, optimize and run the fastest and most efficient cluster computing system. In this real-time, non-stop competition, teams of six students assemble their clusters on the exhibit floor and race to demonstrate the greatest sustained performance across a series of applications and scientific workloads.
The University of Texas team took first place in the overall standings, breaking Team Taiwan's (National Tsing Hua University) two-year winning streak.
“None of us expected to win, but we didn’t expect to lose either…we were thrilled,” said Craig Yeh, a third year Computer Science major at The University of Texas at Austin. “The win validated all of the work we did since May leading up to the competition. I highly recommend this experience to other students at The University of Texas.”
The winning student team members are Andrew Wiley, Reid Douglas McKenzie, Michael Teng, Anant Rathi, Craig Yeh, and Julian Michael. Learn more about the team members: http://www.tacc.utexas.edu/sc12/student-cluster
The competition draws teams from around the world, including the United States, Europe, Canada, China, Costa Rica, Germany, Russia and Taiwan. The teams work with company sponsors several months in advance to design and build a cutting-edge system from commercially available components.
This year, The University of Texas team and TACC partnered with Dell, Nvidia and Intel to design and build a hybrid, power-saving system that integrated graphic processing units (GPUs), Intel processors, and a new-generation Dell chassis. The company sponsors provide the hardware and travel funds, while the TACC mentors work side by side with the students to teach them the fundamentals of cluster construction, systems administration, and program optimization. Chevron and Mellanox also served as sponsors of this year’s team.
One additional challenge of the competition is that the systems cannot exceed a 26 amp power limit, which is the electrical equivalent of three standard-size coffee-makers.
“It’s a real-world situation,” said John Lockman, the team’s lead mentor and a member of TACC’s High Performance Computing group. “For example, a data center in industry might need to expand, but can’t due to financial or space constraints, so they have a limited amount of power and a scientific workload that they have to accomplish in a reasonable amount of time.” John Cazes and Carlos Rosales-Fernandez, also from TACC, helped mentor the students.
The competition began early Monday morning, November 13, when the teams ran the HPCC benchmark, which tests multiple attributes that contribute substantially to the real-world performance of HPC systems. These results are factored into their overall score. They ran the Linpack benchmark independently to compete for the ‘Highest Linpack’ award (this famous benchmark measures the performance of the system solving a large number of linear equations). On Monday evening, all of the teams received the data sets for the four scientific applications that they ran over the next 48 hours.
HPCC benchmark scores, results from the scientific applications, and interviews with judges were weighted to determine each team’s final score. Teams were also judged on the presentation of their system, their live visualizations, and how thoroughly they answered questions from conference participants.
TACC and its industry partners have sponsored student teams in the competition since 2010, when The University of Texas team received the highest Linpack score and was the first team in the competition’s history to submit a Linpack score higher than a teraflop. In 2011, The University of Texas team built an energy-saving cluster that was submerged in mineral oil, which had the highest Linpack score among CPU-only teams.
“We had the opportunity to manage an entire project at a high level to get real science results. For me, the exposure to the scientific applications was the best part,” Yeh said.
For more information about the overall competition, please visit: http://sc12.supercomputing.org/content/student-cluster-competition.
-----
Source: University of Texas
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.