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January 30, 2013
Web-based technologies, such as Software-as-a-Service (SaaS), were slow to catch on in the science world, but that's about to change. As this Radar O'Reilly article points out, there is growing momentum for this new approach, called Science-as-a-Service (aka SciAAS).
All the benefits of SaaS enjoyed by business users and consumers – like reduced cost and increased flexibility – are just as attractive to researchers. What's more, by injecting the best practices of IT into the science process, researchers are free to spend their time on more "mission-critical" endeavors.
As one researcher from the Texas Advanced Computing Center put it, Science-as-a-Service "takes the spotlight off of technology and puts it back onto science."
This may be a relatively new approach, but there's already quite the ecosystem forming. As O'Reilly Associate Renee DiResta observes, there are a large number of enterprising startups aiming to "disrupt the slow-moving pace and high cost of research."
Often times, the founders were themselves researchers motivated out of frustration to create better solutions. "To do this, they're applying innovative business models traditionally used by B2B and B2C startups – everything from the principles of collaborative consumption to decoupling service workers from their traditional places of employment," writes DiResta.
This kind of outsourcing is not completely new – contract research organizations (CROs) have been around since the 80s – but it's occurring on a never-before-seen scale. The list of firms that want to help "make science easier" is longer and more diverse than you might expect. Note the following sampling:
Science-as-a-Service is still an emerging paradigm, but the pace of growth and innovation suggest that this is just the tip of a much larger iceberg.
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).
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...
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.