Visit additional Tabor Communication Publications
November 14, 2011
FREMONT, Calif., Nov. 14 -- SGI, the trusted leader in technical computing, today announced the introduction of SGI ICE X, the next-generation of the award-winning ICE scale-out high performance computing (HPC) blade server product line. With this product introduction SGI expands its ability to deploy multi-petascale supercomputer solutions on a platform that can be upgraded without any production downtime, potentially saving millions of core hours in the process.
SGI ICE X easily meets the needs of the world's most demanding supercomputing deployments. Its design is optimized for technical computing with integrated InfiniBand switch blades for outstanding throughput, performance and reliability. The system's innovative blade design makes it easy and affordable to move to petascale computing and beyond with its integrated single- or dual-plane FDR InfiniBand backplane interconnect. SGI ICE X supports hypercube, enhanced hypercube, all-to-all and fat-tree topologies, enabling each deployment to meet the customer's specific needs. The system's open x86 architecture simplifies deployment of commercial, open source or custom applications without any changes on completely unmodified SUSE Linux Enterprise Server or Red Hat Enterprise Linux operating systems. The ICE platform is also capable of economically scaling from a half-rack to hundreds of racks.
"ICE X represents the next generation of our market-proven high performance computing platform," said Praveen K. Mandal, senior vice president of engineering at SGI. "This is our first fully choreographed engineering cycle for the new SGI with Intel, bringing Intel's next generation Romley architecture to market. We expect to extend our share in the large-scale cluster market significantly with the new SGI ICE X, as it is designed for scale, speed and density."
SGI ICE X contains significant enhancements over prior ICE generations, including new cooling options at the node level and a higher density form factor through unique blade design, supporting up to 2,304 processor cores per rack. The ICE X system also supports independently scalable power at the enclosure level, along with Fourteen Data Rate (FDR) 56Gb/second InfiniBand support, including options for single-port, dual-port, and dual single-port Mellanox ConnectX-3 InfiniBand HCA mezzanine cards.
"Norwegian University of Science and Technology (NTNU) and the Norwegian Meteorological Institute (met.no) have worked together for over 20 years on high performance computing systems for research and numerical weather prediction," said Roar Skalin, Director of Information Technology at the met.no. "With the newest SGI ICE X, the compute resources available for our numerical weather prediction will increase by a factor of 20 without increasing space in the data center."
"HPC customers require constant innovation and cutting edge technology to perform increasingly complex and data intensive computations," said Rajeeb Hazra, general manager of Technical Computing at Intel. "SGI's ICE X leverages the performance of the Intel Xeon processor E5 family together with engineering innovations like the new blade design to deliver on the needs of leading customers. Intel has worked closely together with SGI to enable a product that delivers on energy efficient performance and density, and we are excited to see this product in the market."
SGI ICE X represents the fifth generation of the ICE platform. This platform maintains a world record benchmark for SPECmpiL_2007, with a result of 51.3 for the SGI ICE 8400. This surpassed the previous record of 43.3 set by the SGI ICE 8200, and is a testament to the efficiency and scalability of the platform. ICE is also the world's fastest compute-only cluster platform for computational fluid dynamics, achieving record results for SGI OpenFOAM software.
"We are pleased to collaborate with SGI on delivering a leading performance solution that addresses the ever-growing compute needs of their customers," said Eyal Waldman, chairman, president and CEO of Mellanox Technologies. "Leveraging the I/O performance, scalability and efficiency benefits of Mellanox's FDR 56Gb/s InfiniBand solutions, SGI ICE X provides researchers and scientists with unprecedented computation capabilities for their most demanding workloads."
Fully Integrated Environment
SGI's comprehensive management and performance software stack is available on all SGI ICE X models for a consistent user experience, including SGI Performance Suite and SGI Management Suite, in addition to a choice of either SUSE Linux Enterprise Server or Red Hat Enterprise Linux operating systems. SGI InfiniteStorage systems enable a broad range of storage alternatives for high performance file-level and block-level access. With years of experience providing Lustre support and integration with SGI DMF Storage Tier Virtualization, and also a choice of best-of-breed storage platforms such as the SGI IS5000 and IS5500, SGI delivers cost effective options for tightly coupled compute and storage environments.
One Unified Blade Enclosure Model
SGI ICE X hardware architecture is based on a rack-level design comprised of two unified blade enclosure pairs per rack, with up to 36 single- or twin-node compute blades per enclosure pair. The two switch blade choices within the enclosure pair are:
• Standard: Single 36 port FDR InfiniBand ASIC with 18 ports external for high-value scaling
• Premium: Dual 36 port FDR InfiniBand ASIC with 48 ports external for maximum scalability and performance
Two Compute Blade Models
Blade models include the Intel Xeon processor E5 family, and multiple differentiated FDR networking options:
• IP-113 Single Node Blade: Dual Intel Xeon processor E5 family CPUs with 16 DDR3 DIMM slots (8 per CPU socket)
• IP-115 Twin Node Blade: Dual Intel Xeon processor E5 family CPUs with 16 DDR3 DIMM slots per twin blade (4 per CPU socket)
SGI ICE X with Intel Xeon processor E5 family is immediately available for booking. The IP-113 single node blade will begin shipping in the late fourth quarter of 2011. The IP-115 twin blade is expected to ship during the first quarter of 2012. SGI ICE X pricing can be provided upon request. For more information, visit sgi.com/ICEx.
SGI (NASDAQ: SGI), the trusted leader in technical computing, is focused on helping customers solve their most demanding business and technology challenges. Visit sgi.com for more information.
Connect with SGI on Twitter (@sgi_corp), YouTube (youtube.com/sgicorp), and LinkedIn.
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...
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.
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.
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.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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.