Appro Wins Huge Deal With Three National Laboratories for 438 TeraFlop High Performance Computing Clusters Based on Quad-Core AM

MILPITAS, Calif., Oct. 2 /PRNewswire-FirstCall/ -- Appro ( ), a leading provider of high-performance enterprise computing systems, today announced the historic award of Appro Xtreme-X(TM) high performance computing clusters for...

MILPITAS, Calif., Oct. 2 /PRNewswire-FirstCall/ -- Appro (, a leading provider of high-performance enterprise computing systems, today announced the historic award of Appro Xtreme-X(TM) high performance computing clusters for the TLCC07 project to be delivered to three National Nuclear Security Administration (NNSA) weapons laboratories: Lawrence Livermore National Laboratory, Los Alamos National Laboratory and Sandia National Laboratories. This represents the first time, under a single contract, that the tri-Labs purchase the same high performance computing systems for deployment at all three sites.


The TLCC07 program represents a multi-million dollar contract between Lawrence Livermore National Laboratory ( and Appro ( to provide scalable Linux high performance clusters with up to 438 teraFLOP/s in 21 Scalable Units (SU) with an option for an additional 10 SU, 200 teraFLOP/s of capacity computing power to be deployed in 8 separate Linux clusters at the tri-Lab sites.

This project consists of a total of 3,024 nodes, 12,096 processors/48,384 cores with up to 96.8TB of memory. These Appro high performance clusters will be based on Quad-Core AMD Opteron(TM) processors connected with a two stage InfiniBand 20 Gb/s 4X Double Data Rate (DDR) fabric featuring Voltaire Grid Director(TM) 288 port core switches. These clusters feature the latest Mellanox Technologies ConnectX IB 20Gb/s dual-port InfiniBand adapters and ConnectX EN dual port 10 Gigabit Ethernet NICs for storage cluster connectivity. In addition, this solution utilizes server hardware technology from Supermicro. These high performance clusters will be deployed to the tri-Labs community starting in late 2007 through early 2008.

These scalable Linux clusters will be used principally to provide needed computational support to NNSA's nuclear weapons programs, notably Stockpile Stewardship -- the program to ensure the safety, security and reliability of the nation's nuclear deterrent without nuclear testing. Additional capacity computing is needed for such efforts as completion of the National Ignition Facility laser fusion project by 2010; implementation of updated computer codes for nuclear weapons certification; and the program to extend the life of existing weapons in the stockpile.

"This is a win-win for Appro and the DOE," said Steve Conway , IDC research vice president, technical computing. "With its modular Scalable Unit architecture, Appro captured a large, 12,000-plus processor, highly sought-after HPC procurement and will assist the DOE in its critical core mission. The DOE employed a comprehensive and extensive purchasing strategy for their capacity computing needs, with a focus on exploiting the economies of scale and taking the longer view of total cost of ownership. IDC expects that cluster-based supercomputing will soon represent over 75% of all technical servers."

The TLCC07 program started when Advanced Simulation and Computing Program Office in collaboration with Lawrence Livermore , Los Alamos , and Sandia National Laboratories introduced the project to significantly reduce Total Cost of Ownership (TCO) for deploying several large-scale production capacity compute clusters at the Tri-Lab sites. The key to this effort is standardizing the hardware and software for next generation Linux clusters at the Tri-Labs. On the hardware side, this standardization is based on a new innovative Scalable Units (SU) design that allows rapid manufacture, delivery, acceptance and integration of multiple Linux clusters. The idea is that by purchasing a total of 21 SUs (437 teraFLOP/s) over two years, tremendous economies of scale are generated to reduce TCO components of SU cost, integration time and manpower, hardware, system and application software support costs.

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