Visit additional Tabor Communication Publications
September 25, 2012
The concept of dark matter and dark energy has flummoxed physicists since it was discovered that the rate at which the universe expands is growing. To this day, dark matter and energy represent a significant challenge to physicists’ understanding of the universe.
With the help of Mira, an IBM Blue Gene/Q supercomputer at the Argonne National Laboratory, physicists hope to garner a greater theoretical understanding of dark matter to better guide future astronomical explorations.
In an interview with Dr. Salman Habib, senior physicist at the DOE lab, The Atlantic profiled the cosmology simulation work under his direction. Habib’s project is called Cosmic Structure Probes of the Dark Universe, and over four years it is scheduled to occupy 150 million core hours of the Mira supercomputer. In order to better study theoretical dark matter and energy, Habib hopes to model the entire universe from its inception.
“The discovery potential of almost all of these missions relies crucially on theoretical modeling of the large-scale structure of the Universe,” he said. “As observational error estimates for various cosmological statistics edge towards the one percent level, it is imperative that simulation capability be developed to a point that the entire enterprise is no longer theory-limited.”
The search for dark matter began unofficially when Einstein noted the existence of a cosmological constant when developing his relativity theories. He initially threw out the idea, but cosmologists later came back to it. However, expressing that constant mathematically has proved remarkably difficult, mostly because a proper model of the universe has yet to be formed.
Habib hopes to develop that model with Mira and what its new Blue Gene system lets it do. “This is possible,” Habib said “because the next generation, 10-petaflop IBM Blue Gene system will provide, at last, the computational power to resolve galaxy-scale mass concentrations in a simulated volume as large as state-of-the-art sky surveys.”
Mira, the number three system on the TOP500, and which tied for the top spot with another Department of Energy Blue Gene/Q system in June’s Graph 500 benchmark, is capable of performing 10 quadrillion calculations per second. More to the point, it is able to execute a graph operation as expansive as mapping the universe. According to the Argonne Leadership Computing Facility (ALCF), the machine is committed to 786 million core-hours available to scientists in 2013, eventually increasing to 5 billion hours per year of scientific computing time.
Dark matter observance is not the only interesting astronomical phenomenon this model hopes to detect. Habib also hopes to get to the bottom of galactic and star cluster formation. Projects like this are the type to which the ALCF referred when noting on their website that “Mira ushers in a new era of scientific supercomputing.” Other projects include climate models on the planet-wide scale and detailed numerical analysis of carbon-12 reactions.
Full story at The Atlantic
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...
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.
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....
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.