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NVIDIA Tesla GPU accelerators Strengthen Super Computer

Written By TahaS. on Tuesday, July 2, 2013 | 9:48 AM

NVIDIA Tesla GPU accelerators Green500 list published today by the world's most energy-efficient supercomputer strengthens both announced .. The results of the latest Green500, energy-efficient high-performance supercomputing CPU to GPU accelerators' lara, shows that an advantage over all the other accelerators.

Winner of the system by the Green500 list, Casalecchio di Reno, Italy, the largest in the CINECA supercomputing center in 'Eurora' was. By far the most developed high-performance, most efficient accelerators with the NVIDIA Kepler ™ architecture-based GPU accelerators Eurora, 3210 MFlop per watt Intel CPUs that use only the best offers and thus the system (France Météo'da) 2.6 times more energy efficient . In addition, the National Computing Sciences Institute of the University of Tennessee-based system is the most efficient Intel Xeon Phi accelerator 'Beacon' is more efficient compared to a large extent.

June 2013 Green500 list, which ranks second system in Italy Selex ES plants 'Tigon Aurora' was a super-computer. The two systems in the top ranks equipped with NVIDIA Tesla K20 GPU accelerators, high-performance advanced Eurotech 'Aurora' servers and strengthened. Looking at the broader, Green500 list, which takes place during the first 100 GPU-accelerated NVIDIA Kepler-based systems, based on the latest Intel Xeon Phi-based systems to 50 per cent more energy-efficient.

NVIDIA Tesla GPU Hızlandırıcılar Süper Bilgisayarı Güçlendiriyor1

NVIDIA GPU accelerator-based systems where the first four places in the field of energy-efficient supercomputing ISC 2013 Student Cluster Challenge contest last week, following NVIDIA GPUs, developers, system designers and computational have been chosen by the researchers showed once again why most.

Offering energy-efficient GPU core runs parallel to the thousands of small accelerators, the standard CPU based lara considerably more energy efficient. Series general-purpose CPU cores running compute-intensive applications, while very inefficient operation, it is computationally intensive portions of applications optimized to run on GPUs.

NVIDIA Tesla GPU Hızlandırıcılar Süper Bilgisayarı Güçlendiriyor2

Green500 list published twice a year, compared to the power consumed Based on the performance in the most energy-efficient supercomputer is 500. For more information and for the whole of June 2013 Green500 list: http://green500.org/.
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