Visit additional Tabor Communication Publications
September 24, 2012
BOISE, Id., Sept. 24 — Boise State researchers are generating astonishing amounts of data, but often face obstacles when it comes to effectively accessing and analyzing that data. That’s about to change, now that a collaborative group of Boise State University faculty from engineering, biological sciences, geosciences and computer science have received a grant from the National Science Foundation (NSF) to build a new high-performance computing and visualization instrument.
When the project is completed, researchers across multiple disciplines will have access to vastly improved capabilities for tackling large computational problems.
The $555,384 grant was awarded under NSF’s Major Research Instrumentation (MRI) Program. The funding will be used to build a 32-node GPU/CPU cluster with a data storage array and a 5×8 foot tiled display that will be located in a visualization theater setting. GPU computing uses graphics processing units (GPUs) together with conventional central processing units (CPUs) for faster processing of computational science and engineering problems. The GPU/CPU cluster will support parallel computing and rendering, data storage and high-resolution imaging.
“Without supercomputing resources, computational analysis and massive data stores can become more of a burden than a help,” said Inanc Senocak, associate professor of mechanical and biomedical engineering and the principal investigator on the project. “This new computing cluster will extend our range of exploration in science and engineering projects and substantially accelerate the time it takes to get results.”
Senocak and co-investigators Peter Müllner (materials science and engineering), Hans-Peter Marshall (geosciences), Julie Oxford (biology) and Tim Andersen (computer science), have proposed using the computing cluster to support research projects as diverse as wind energy forecasting, modeling for threat reduction in chemical and biological defense, materials characterization and modeling, snow hydrology and remote sensing, and mechanisms of skeleton development in living systems.
“The benefits of this grant will be felt far beyond Boise State University,” said Amy Moll, dean of the College of Engineering. “The plan is for the parallel computing and visualization cluster to be housed at a facility open to university researchers, as well as local technology companies and partners. This advanced cyber-infrastructure resource has the potential for a huge impact on our regional economy.”
Senocak said that the researchers involved in the grant also plan to make this cyber-infrastructure accessible to high-school science, technology, engineering and math scholars through outreach activities such as hands-on exercises for modeling and simulation, visualization of earth and space scientific data and high-resolution imagery.
“If we look beyond the obvious benefits to the researchers, we can only imagine the profound impact this kind of experience might have on the next generation of scientists and engineers,” he added.
Source: Boise State University
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.