Germany’s HLRN Acquires SGI Systems Powered by 25,000 Processor Cores

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BERLIN and SUNNYVALE, Calif., Dec. 19 /PRNewswire-FirstCall/ — Under a new contract signed this month, SGI (NASDAQ: SGIC) will equip the North German Group for High- and Highest-Performance Computers (HLRN, http://www.hlrn.de) with a new SGI(R) Altix(R) supercomputer complex 60 times more powerful than HLRN’s current HPC resource.

Within the framework of a new cooperative project, the six German states of Berlin, Bremen, Hamburg, Lower Saxony, Mecklenburg-Vorpommern and Schleswig-Holstein have agreed to pool their resources, along with funds from the federal government, to purchase the new system, known as “HLRN-II.”

The two-phase installation includes approximately 25,000 processor cores: some 12,500 cores will be deployed at the HLRN’s facility in Berlin, with the remaining 12,500 installed at the HLRN’s facility in Hannover. The initial SGI(R) Altix(R) ICE and SGI(R) Altix(R) XE systems will be deployed on the premises of the HLRN system’s operators: the Konrad-Zuse-Zentrum fur Informationstechnik in Berlin (ZIB, http://www.zib.de) and the Regionales Rechenzentrum fur Niedersachsen (RRZN, http://www.rrzn.uni-hannover.de) in the spring of 2008. Both systems will be connected via a rapid data line: the so-called “HLRN Link.” The two system complexes in Hannover and Berlin will be closely integrated and interconnected to create a unified overall system (one-system characteristic).
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Workstation market stays on a roll, says Jon Peddie Research

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Today’s workstation market has lost virtually all ties to its early roots, with all of the market’s robust growth now coming exclusively thanks to products derived from independent hardware vendors (IHVs) Intel, Nvidia and AMD. Almost completely absent is the traditional proprietary workstation (TPW) of yesteryear, the RISC/Unix client built and supported by one of a handful of big-iron vendors, most notably HP, SGI, Sun, DEC and IBM.
In the third quarter of 2007, the PC-derived workstation – built on x86 and Windows or Linux – accounted for an overwhelming 99% of units, while the TPW segment lost yet another player.
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With only Sun and IBM holding out, proper UNIX workstations would appear to be all but dead. Good thing they tend to last forever ;-)

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SGI Introduces the SGI BioCluster Life Sciences Workflow Solution

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SUNNYVALE, Calif., Dec. 11 /PRNewswire-FirstCall/ — With clusters the fastest growing segment of the computer market in biosciences according to the IDC industry analyst report “HPC Market and Research Overview: 2006 and Beyond”, SGI (NASDAQ: SGIC) introduces the SGI(R) BioCluster, a powerful and accelerated workflow solution for pharmaceutical, life sciences and higher education researchers. The SGI BioCluster is an SGI(R) Altix(R) XE cluster system with PBS Pro cluster management tools and the eXludus Grid Optimizer(TM), a new multi-core capacity management technology that substantially boosts throughput in clusters and grids running workloads with tens, hundreds or thousands of concurrent users through its unique real-time job schedule optimization technology.
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SGI Technology Accelerates New Cancer Research

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SUNNYVALE, Calif., Dec. 5 — Discovering the differences and changes within the genome that trigger disease is a priority for The Translational Genomics Research Institute (TGen). To aid the non-profit research institute in their quest, TGen deployed technology from SGI to more quickly analyze molecular profile data sets in their search for cancer cures. Purchased in April through a National Institute of Health (NIH) grant, the SGI Altix 4700 will assist TGen researchers in understanding the genomic variation — a process which requires comparison searches of enormous data sets — that can be rapidly used for diagnosis and treatment of disease in a manner tailored to individual patients.
TGen selected the SGI Altix 4700 system with over half a terabyte of shared memory so researchers in the Phoenix, Ariz., institute can search across multiple chromosomes, all in memory, without having to break the problems into smaller pieces, enabling researchers to look at the whole instead of the sum of the parts.
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