This 2010, China has dethroned United states for having the fastest supercomputer in the World.
This is called Tianhe-1A, a new supercomputer that set performance record of about 2.509 petaflops (quatrillion calculations per second). This is the fastest as of today according to NVIDIA. Tianhe-1A was designed by the National University of Defense Technology (NUDT) in China. The system is housed at National Supercomputer Center in Tianjin and is already fully operational.
News confirmed that Tianhe-1A, the fastest supercomputer is faster than the previously recorded fastest supercomputer, Cray XT5-HE Jaquar at Oak Ridge National Laboratory, which can deliver 1.76 petaflops of sustained performance.
China SuperComputer - Tianhe-1A Picture
As to its specifications, NVIDIA described this Chinese Supercomputer has a modern heterogeneous computing by coupling massively parallel GPUs with multi-core CPUs, enabling significant achievements in performance, size and power. The system uses 7,168 NVIDIA® Tesla™ M2050 GPUs and 14,336 CPUs; it would require more than 50,000 CPUs and twice as much floor space to deliver the same performance using CPUs alone.
This is called Tianhe-1A, a new supercomputer that set performance record of about 2.509 petaflops (quatrillion calculations per second). This is the fastest as of today according to NVIDIA. Tianhe-1A was designed by the National University of Defense Technology (NUDT) in China. The system is housed at National Supercomputer Center in Tianjin and is already fully operational.
News confirmed that Tianhe-1A, the fastest supercomputer is faster than the previously recorded fastest supercomputer, Cray XT5-HE Jaquar at Oak Ridge National Laboratory, which can deliver 1.76 petaflops of sustained performance.
China SuperComputer - Tianhe-1A Picture
As to its specifications, NVIDIA described this Chinese Supercomputer has a modern heterogeneous computing by coupling massively parallel GPUs with multi-core CPUs, enabling significant achievements in performance, size and power. The system uses 7,168 NVIDIA® Tesla™ M2050 GPUs and 14,336 CPUs; it would require more than 50,000 CPUs and twice as much floor space to deliver the same performance using CPUs alone.
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