December 08, 2006
The Naval Research Laboratory (NRL) in Washington, D.C., a DoD scientific research lab, has selected SGI Altix servers and SGI InfiniteStorage solutions to help demonstrate the military utility of a scalable, rapid and secure integrated capability to retrieve, store and share massive amounts of information effectively between global users.
Sponsored by DoD with NRL as the lead agency, the Large Data Joint Capability Technology Demonstration (LD JCTD) will demonstrate remote access, manipulation, and viewing of very large commercial and government data sets (petabytes to exabytes) designed to increase joint warfighter situational awareness. Started in fiscal 2006, LD JCTD is a three-year initiative to demonstrate the integration of technologies and operational concepts to significantly improve the deployed joint warfighters' situational awareness, enabling the rapid access, integration, and display of very large, fused sets of geospatially and temporally referenced data.
DoD's joint warfighter community continues to struggle with how to handle increasing volumes of data, keep data synchronized across a global network, reliably migrate data from where it is to where it needs to be, and access data with low latency and inter-nodal coherency for real-time knowledge dominance in the battlespace. LD JCTD is an unprecedented attempt by DoD to address how to effectively move, process, analyze, share, and store this onslaught of data.
"Warfighters need access to the right data at the right time, delivered to the right decision maker. They need to be able to integrate large volumes of geo- and temporally-referenced data very quickly, some of it extremely complex, and to quickly build cohesive, shared sight pictures based on shared data at the tactical through strategic levels," said Jim Hofmann, LD JCTD Technical Manager, NRL. "The natural desire to store and analyze data and information locally is now giving way to technology, like that from SGI, that enables warfighters to access vast amounts of remote data in real time or near-real time on a global scale."
One of NRL's missions is the development of new techniques, algorithms, and methodologies to cope with the very large datasets that are being created by the joint warfighter community. To help support the LD JCTD initiative, NRL has purchased a broad range of SGI high-performance computing systems, including Linux-based servers and clusters. The lab has installed the new SGI Altix XE line of x86-64 based servers and clusters running dual-core Intel Xeon processors, and the dual-core SGI Altix 450 and 4700 blade servers running the latest Intel Itanium 2 processors.
In order to support LD JCTD's complex data-intensive environment, NRL has also purchased SGI InfiniteStorage solutions based on technology by DataDirect Networks. Through SGI, DataDirect Networks is providing NRL with about a petabyte of disk capacity. YottaYotta technology will also be used by NRL on the LD JCTD project to extend the benefits of SGI InfiniteStorage solutions on a global scale. The SGI-YottaYotta solution provides the ability to share data across thousands of miles, enabling multi-site data collaboration, information sharing, and high availability to globally distributed organizations like the DoD.
Defense laboratories like NRL are also increasingly turning to InfiniBand interconnect solutions to improve performance, efficiency, scalability and overall network reliability. SGI InfiniteStorage disk arrays are specifically designed to meet the demanding needs of high performance computing environments such as LD JCTD that require InfiniBand. The InfiniBand solution for the SGI Altix family of servers is designed to address typical bottlenecks and provides technical customers like NRL with a clustering solution for the demanding workloads.
Other technology partners on NRL's LD JCTD project include: Archivas, SilverStorm Technologies, and Voltaire.
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....
Read more...
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..
Read more...
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).
Read more...
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.
Read more...
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.
Read more...
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.
Read more...
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.
Read more...
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.