Visit additional Tabor Communication Publications
September 14, 2010
At the ISC Cloud event next month in Frankfurt, Germany, Microsoftian Dan Reed is scheduled to deliver the keynote address, titled Technical Clouds: Seeding Discovery. With the copious title of Corporate Vice President Technology Strategy and Policy & Extreme Computing, Reed directs Microsoft's R&D for parallel and extreme-scale computing, and has a commanding view of all things cloudy in Redmond. His keynote, as you might imagine, will focus on the how the cloud model can facilitate scientific discovery.
In an interview with Reed published today in HPC in the Cloud, he previews his ISC Cloud keynote, and zeros in on the main advantage cloud computing offers the researcher:
[T]he cloud phenomenon offers an opportunity to fundamentally rethink how we approach scientific discovery, just as the switch from proprietary HPC systems to commodity clusters did. It’s about simplifying and democratizing access, focusing on science, discovery and usability. As with any transition, there are issues to be worked out, behavioral models to adapt and technologies to be optimized. However, the opportunities are enormous.
Cloud computing has the potential to provide massively scalable services directly to users which could transform how research is conducted, accelerating scientific exploration, discovery and results.
Reed's point is that clouds can make computing a scalable service, rather than an adventure in infrastructure management. Given that HPC setups are among the most difficult to design, maintain and operate, it seems like there should be an extra incentive for those users to adopt the cloud model. Part of the problem is cultural and the tendency for HPC thinking to be dominated by the users of at the top end. As Reed says:
I believe our focus has been too skewed toward the very high end of the supercomputing spectrum. While this apex of computing is very important, it only addresses a small fraction of working researchers. Most scientists do small scale computing, and we need to support them and let them do science, not infrastructure.
Reed also offers his perspective on the roles of public and private clouds and how to deal with large scientific datasets in the cloud.
Full story at HPC in the Cloud
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).
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.