Visit additional Tabor Communication Publications
November 18, 2009
Recycled HPC system to be used to develop sustainable power consumption
ATLANTA, Nov. 18 -- The biggest challenge in computing today, some experts say, is not processing power, but power consumption. In 2007, the Environmental Protection Agency forecasted that as of 2011, datacenters will be responsible for two percent of all power consumption in the U.S., and some predictions foresee those levels rising to almost 6 percent by 2020. Finally, there are numerous anecdotes about power demands caused by datacenters, including partial brownouts when supercomputers are switched on and new datacenters having to be moved to where cheap hydro-power is available, such as the Columbia River Gorge.
Clearly, power consumption is not only an environmental concern, but also a productivity and security issue. If high-performance computing (HPC) centers are going to be able to run larger simulations and process more and more data, they must find a way to decrease their facilities' drain on the power grid.
To help understand and reduce power consumption, the Georgia Institute of Technology has launched Green IT. The effort considers power consumption across the entire "energy stack," ranging from the power consumed by modern multicore platforms, to the board and rack levels, to the entire datacenter. Corralling expertise from Georgia Tech's College of Computing, College of Engineering and Office of Information Technology, the consortium is a multidisciplinary effort that looks at how to build large-scale systems that use less power. The goal is to better understand where and how power is used, and to make it possible to coordinate power usage across different datacenter components, such as the cooling and the IT infrastructure.
"With experts from computer science looking at systems management, cloud computing and virtualization, and electrical engineers investigating chip design along with mechanical engineers working on cooling technologies, Georgia Tech is in a great position to help solve the power consumption problem," said Karsten Schwan, a professor in Georgia Tech's College of Computing.
Often, research efforts like these must use simulated machines, with heaters substituting for computers; but the Green IT group will be using a large-scale commodity system, a 1,000-node IBM BladeCenter, to conduct its investigations. The system was previously used by the Center for the Study of Systems Biology.
"Rather than junking the old machine, Georgia Tech decided that we could recycle it and use it for energy-efficient IT research along with a host of other uses," said Schwan.
The GreenIT effort is led by Sudhakar Yalamanchili in Electrical and Computer Engineering and includes the following faculty members: Ada Gavrilovska, Ron Hutchins, Yogendra Joshi, Hyesoon Kim, Hsien-Hsin Lee, Saibal Mukhopadhyay, Santosh Pande, Calton Pu, Karsten Schwan, Madhavan Swaminathan, Yorai Wardi, Marilyn Wolf and Jun Xu.
This week, Georgia Tech is showcasing research activities in high-performance computing and the computational sciences at SC09. The conference takes place at the Oregon Convention Center in Portland, Ore., Nov. 14-20. Researchers and staff will be on hand at booth 132 to demonstrate and discuss Georgia Tech's latest research and activities in the field.
About the Georgia Institute of Technology
The Georgia Institute of Technology is one of the nation's premier research universities. Ranked seventh among U.S. News & World Report's top public universities, Georgia Tech's more than 20,000 students are enrolled in its Colleges of Architecture, Computing, Engineering, Liberal Arts, Management and Sciences. Tech is among the nation's top producers of women and African-American engineers. The Institute offers research opportunities to both undergraduate and graduate students and is home to more than 100 interdisciplinary units plus the Georgia Tech Research Institute.
Source: Georgia Institute of Technology
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....
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..
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).
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.
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.
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.
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.
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.