1. Welcome to TechPowerUp Forums, Guest! Please check out our forum guidelines for info related to our community.

Fujitsu Brings NVIDIA GPU-Accelerated Supercomputing to the Masses

Discussion in 'News' started by btarunr, Jun 13, 2012.

  1. btarunr

    btarunr Editor & Senior Moderator Staff Member

    Joined:
    Oct 9, 2007
    Messages:
    28,611 (11.22/day)
    Thanks Received:
    13,648
    Location:
    Hyderabad, India
    NVIDIA today announced that NVIDIA Tesla GPUs are now available in Fujitsu's PRIMERGY CX400 S1 servers, offering high-performance GPU-accelerated computing to Fujitsu's large installed base of customers in Japan and Europe.

    Fujitsu designed the PRIMERGY CX400 S1 server for high performance in a compact form factor by using half-wide, two-socket server nodes -- doubling the number of cores per unit height. The system houses either four 1U hot-plug PRIMERGY CX250 S1 server nodes with two CPUs per node, or two 2U hot-plug CX270 S1 server nodes with two CPUs and one NVIDIA Tesla GPU per node.

    [​IMG]

    "Fujitsu is a leader in high-performance computing (HPC)," said Sumit Gupta, senior director of the Tesla business at NVIDIA. "Its new GPU-equipped servers provide supercomputing performance to the broad base of researchers and engineers at universities, enterprise and government research laboratories."

    Combining a multicore CPU with the hundreds of parallel processing cores of an NVIDIA GPU has enabled a new GPU-accelerated computing model for the HPC industry. This combination shifts complex parallel computing tasks to the GPU and keeps program logic aligned with the CPU, enabling dramatically higher levels of performance than CPU-only systems, while significantly reducing power consumption.

    The GPU-accelerated Fujitsu system is designed to address complex computational processing challenges inherent in HPC applications, including structural mechanics, fluid dynamics, seismic modeling and imaging, bioinformatics, molecular dynamics, and computational finance and data mining. The automotive industry is also rapidly deploying GPU technology for crash simulations and CAE design based on its ability to significantly reduce simulation runtimes and computational costs.

    "The Fujitsu PRIMERGY Multi-Node CX400 demonstrates Fujitsu's philosophy of field innovation and a constant drive to increase the power and flexibility of our scale-out server systems for both HPC and cloud computing environments," said Jens-Peter Seick, senior vice president of Product Development Group at Fujitsu Technology Solutions. "With support for NVIDIA GPUs, the system dramatically increases computational performance, while reducing costs and power consumption. This combination is exactly what today's HPC customers are looking for."

    Fujitsu PRIMERGY CX400 S1 Multi-Node systems are available now from Fujitsu and its channel partners. For a list of channel partners by region, visit the Fujitsu Global Reseller Locator website.

    For more information, visit the product page.
     
  2. phanbuey

    phanbuey

    Joined:
    Nov 13, 2007
    Messages:
    5,205 (2.07/day)
    Thanks Received:
    975
    Location:
    Miami
    I don't know if adding GPU computing to rack-mounted 2U srvers is really bringing it to the masses... I don't know that many people with racks, AB circuits in their house...
     
  3. Crap Daddy

    Crap Daddy

    Joined:
    Oct 29, 2010
    Messages:
    2,739 (1.91/day)
    Thanks Received:
    1,044
    The masses of HPC companies.
     

Currently Active Users Viewing This Thread: 1 (0 members and 1 guest)

Share This Page