June 27, 2012
One by one, US government HPC labs are getting into the industry partnership business. The latest is Lawrence Livermore National Laboratory (LLNL), who this week announced it was teaming with IBM to form "Deep Computing Solutions," a collaboration that is being folded into LLNL’s new High Performance Computing Innovation Center (HPCIC).
Announced in June 2011, LLNL's HPCIC is tasked with spurring industry innovation by bringing companies into the HPC fold. The idea is to marry the technology with the needs of businesses in order to boost the competitive capabilities of US companies. This subtle shift in the mission of national labs, which is occurring at both NSF and DOE sites, reflects a desire by policymakers to leverage the government's multi-million dollar investments in supercomputing for the betterment of the domestic economy.
HPCIC, like similar public-private partnership programs at the Ohio Supercomputer Center (OSC), Oak Ridge National Laboratory ORNL), the National Center for Supercomputing Applications (NCSA), and elsewhere, is designed to help US companies compete more effectively in the global marketplace via HPC. Among other things, this can involve using supercomputers to run virtual product simulations, model new energy systems or new materials, or employ data mining for informatics-type apps or to help make better business decisions.
In the latter case, the idea is to demonstrate use cases for "big data" applications using supercomputing technology. Data-intensive computing has become a major focus across the national labs, with many in the community now looking at the application domain as a way to mainstream HPC technology.
Perhaps the most notable aspect of the HPCIC program is the size of the resource being allocated to support the work. In this case, IBM will be providing one of the most powerful supercomputers in the world, a 5 (peak) petaflop Blue Gene/Q supercomputer. That system, known as Vulcan, is partially installed at LLNL as a 400-teraflop system, which currently sits at number 48 on the latest TOP500 list. The full 5-teraflop machine is scheduled to be fully deployed later this summer.

As such, it will be one of a handful of petascale supercomputers in the world available to industrial users. According to LLNL deputy department head Doug East, Vulcan will mostly be used as a capacity machine, but "with the ability to schedule capability-class jobs as well, including dedicated access times for petascale efforts as they evolve."
Vulcan was acquired under the same $200 million-plus contract used to procure Dawn, LLNL's 500-teraflop Blue Gene/P system, and Sequoia, the lab's new 20-petaflop Blue Gene/Q, which, as of last week, earned the title of the world's top supercomputer. The 24-rack Vulcan is basically a quarter-sized Sequoia, and if it were up and running today, the machine would likely be ranked as the 4th most powerful computer on the planet.
Unlike Sequoia though, whose prime mission is to serve the NNSA and its primary task of maintaining the nation's nuclear weapons stockpile, Vulcan flops will be parceled out to commercial businesses. The focus will be on industries such as manufacturing, transportation, and power generation, which fits into the lab's DOE's mission to advance the nation's energy prospects and the NNSA's somewhat mandate to support national, economic and energy security. Although Vulcan will be the go-to resource for HPCIC's Deep Computing Solutions, it's also slated to support unclassified NNSA research, LLNL academic alliances and other in-house science and technology efforts.
Specific program partners were not announced, but HPCIC's current affiliations include Energy Exemplar (energy systems) and Navistar (truck fuel efficiency). Unlike the DOE INCITE program, proprietary access to Vulcan will be available on demand. Open access initiatives, based on reviewed proposals, may also be offered from time to time.
As with the other public-private partnership programs based at national laboratories, the idea is to not only leverage the supercomputer resources, but the indigenous HPC expertise as well. In fact, according to East, providing access to the physical supercomputer resources is secondary. "We are seeking clients that are primarily interested in utilizing the HPC application and domain expertise of LLNL and IBM to enhance their competitive position," he told HPCwire.
In the case of LLNL, that encompasses over 20 years of HPC experience, including 8 years of accumulated experience developing codes specifically for Blue Gene machines. "We believe that we can help American industry solve some of their largest problems, taking their computing to the next level, and using that capability that we have developed in order to help them be more competitive in their business," said HPCIC director Frederick Streitz.
IBM expertise will also be made available to the partners. The effort will involve a significant number of people from the company's research arm, according to IBM's Dave Turek. What Big Blue gets in return, besides client good will and perhaps the promise of future business, is feedback on what commercial businesses like these require in order to exploit high performance computing.
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.
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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.
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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.
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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.
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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.
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