2009
04.19

Latest And Greatest On Processor Front

Channelweb goes into the field to see what one California-based system builder is doing with Intel’s Nehalem and Nvidia’s Tesla processors.

The NVIDIA® Tesla™ C1060 transforms a workstation into a high-performance computer that outperforms a small cluster. This gives technical professionals a dedicated computing resource at their desk-side that is much faster and more energy-efficient than a shared cluster in the data center. The Tesla C1060 is based on the massively parallel, many-core Tesla processor, which is coupled with the standard CUDA C programming environment to simplify many-core programming.

AND THEY HAVE MADE A PERSONAL COMPUTER!!!!!


Features and Benefits
  • Industry’s first massively multi-threaded architecture with 240-cores.
  • Many-core architecture delivers optimum scaling across HPC applications.
  • Optimized for scientific computing, delivering up to 15x cost savings, 20x lower power, and 250x the performance than traditional 1U rack-optimized servers or desktop workstations.
  • Scale to thousands of processor cores to solve large-scale problems by splitting the problem across multiple GPUs.
  • High-efficiency computing platform for energy-conscious organizations.
  • NVIDIA CUDA Technology unlocks the power of Tesla many-core computing products.
  • Seamlessly able to fit into existing HPC environments.
  • Ideal for life sciences, geosciences, engineering & sciences, molecular biology, medical diagnostics, electronic design automation (EDA), government and defense, visualization, financial modeling, and oil & gas applications.



Specification
  • Up to four Tesla processors (240 computing cores per processor, 960 cores total)
  • Delivers up to four teraflops in a tower chassis
  • IEEE 754 single & double floating point precision
  • Up to 16 GB dedicated memory (organized as 4.0 GB per GPU)
  • Up to 4 x 512-bit GDDR3 memory interface (organized as a 512-bit interface per GPU)
  • Up to 408 GB/sec memory bandwidth (102 GB/s per GPU to local memory)
  • Ultra quiet, eloquent tower chassis
  • System dimension: 23.6″ x 9.6″ x 24.6″ (H x W x D)

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