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NVIDIA Tesla GPUs Power World's Fastest Supercomputer 2010.10.29

Santa Clara, CA, USA - October 28, 2010 - Tianhe-1A, a new supercomputer revealed today at HPC 2010 China, has set a new performance record of 2.507 petaflops, as measured by the LINPACK benchmark, making it the fastest system in China and in the world today.

NVIDIA® TESLA® GPU computing revolutionizing high performance computing
Source: NVIDIA
 

Santa Clara, CA, USA - October 28, 2010

Tianhe-1A, a new supercomputer revealed today at HPC 2010 China, has set a new performance record of 2.507 petaflops, as measured by the LINPACK benchmark, making it the fastest system in China and in the world today. As compared to performance data submitted for the June 2010 Top500 list.

Tesla GPU computing is delivering transformative increases in performance for a wide range of HPC industry segments.
Source: NVIDIA
 
Tianhe-1A epitomizes modern heterogeneous computing
by coupling massively parallel GPUs with multi-core CPUs, enabling significant achievements in performance, size and power.

Accelerating 3D seismic interpretation
Source: NVIDIA
 
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.

Tesla S2050 GPU Computing System is a 1U system powered by 4 Tesla GPUs and connects to a CPU server.
Photo: NVIDIA
 
More importantly, a 2.507 petaflops system built entirely with CPUs would consume more than 12 megawatts.

Tesla S2050 GPU Computing System is a 1U system powered by 4 Tesla GPUs and connects to a CPU server.
Photo: NVIDIA
 
Thanks to the use of GPUs in a heterogeneous computing environment, Tianhe-1A consumes only 4.04 megawatts, making it 3 times more power efficient - the difference in power consumption is enough to provide electricity to over 5000 homes for a year.

NVIDIA® Tesla™ S2050 1U Computing System delivers supercomputing power at 1/10th the cost and 1/20th the power consumption, providing maximum flexibility for expanding GPU capabilities into existing departmental clusters and data centers. Source: NVIDIA
 
Tianhe-1A was designed by the National University of Defense Technology (NUDT) in China
.

The Tesla 20-series GPU computing solutions are designed from the ground up for high-performance computing and are based on NVIDIA’s latest CUDA GPU architecture, code named “Fermi”. It delivers many “must have” features for HPC including ECC memory for uncompromised accuracy and scalability, C++ support, and 7x double precision performance compared to CPUs. Compared to the typical quad-core CPUs, Tesla 20-series GPU computing products can deliver equivalent performance at 1/10th the cost and 1/20th the power consumption.
Source: NVIDIA
 
The system is housed at National Supercomputer Center in Tianjin and is already fully operational.

“Nebulae”, powered by 4640 Tesla 20-series GPUs, is one of the fastest supercomputers in the world.
Source: NVIDIA
 
"The performance and efficiency of Tianhe-1A was simply not possible without GPUs," said Guangming Liu, chief of National Supercomputer Center in Tianjin.
"The scientific research that is now possible with a system of this scale is almost without limits; we could not be more pleased with the results."

TSUBAME 1.2, by Tokyo Institute of Technology, was the first Tesla GPU based hybrid cluster to reach Top500.
Source: NVIDIA
 
The Tianhe-1A supercomputer
will be operated as an open access system to use for large scale scientific computations.

The Tianhe-1A supercomputer, located at National Supercomputer Center, Tianjin, China.
Photo: NVIDIA
 
"GPUs are redefining high performance computing," said Jen-Hsun Huang, president and CEO of NVIDIA.
"With the Tianhe-1A, GPUs now power two of the top three fastest computers in the world today. These GPU supercomputers are essential tools for scientists looking to turbocharge their rate of discovery."

Tesla S2050 GPU Computing System. Specifications
Source: NVIDIA
 
NVIDIA Tesla GPUs
, based on the CUDA™ parallel computing architecture, are designed specifically for high performance computing (HPC) environments and deliver transformative performance increases across a wide range of HPC fields, including drug discovery, hurricane and tsunami modeling, cancer research, car design, even studying the formation of galaxies.


About NVIDIA


NVIDIA (NASDAQ: NVDA) awakened the world to the power of computer graphics when it invented the GPU in 1999.

 
 
Since then, it has consistently set new standards in visual computing with breathtaking, interactive graphics available on devices ranging from tablets and portable media players to notebooks and workstations.

 
 
NVIDIA's expertise in programmable GPUs
has led to breakthroughs in parallel processing which make supercomputing inexpensive and widely accessible.

The Company holds more than 1,600 patents worldwide, including ones covering designs and insights that are essential to modern computing.

For more information, see

www.nvidia.com  

http://www.nvidia.com/object/product-tesla-S2050-us.html



Tesla M2050 / M2070 GPU Computing Module


Based on the next-generation CUDA™ architecture codenamed “Fermi”, the Tesla M2050 and M2070 Computing Modules enable seamless integration of GPU computing with host systems for high-performance computing and large data center, scale-out deployments.

Tesla M2050/M2070 GPU Computing Modules enables the use of GPUs and CPUs together in an individual server
node or blade form factor.
Photo: NVIDIA
 
The 20-series Tesla GPUs
are the first to deliver greater than 10X the double-precision horsepower of a quad-core x86 CPU and the first to deliver ECC memory.

NVIDIA Tesla M2050 / M2070 GPU Computing Module
Photo: NVIDIA
 
The Tesla M2050
and M2070 modules deliver all of the standard benefits of GPU computing while enabling maximum reliability and tight integration with system monitoring and management tools.

NVIDIA Tesla M2050 / M2070 GPU Computing Module
Photo: NVIDIA
 
This gives data center IT staff much greater choice in how they deploy GPUs, with a wide variety of rack-mount and blade systems and with the remote monitoring and remote management capabilities they need.

Tesla M2050 and M2070 Computing Modules. Specifications
Source: NVIDIA
 
Compared to CPU-only systems, servers with Tesla 20-series GPU Computing Modules deliver supercomputing power at 1/10th the cost and 1/20th the power consumption while providing the highest compute density.

http://www.nvidia.com/object/product_tesla_M2050_M2070_us.html  


Video
NVIDIA in a Minute - GPU Technology Conference Day 1 Recap

http://www.youtube.com/watch?v=zRPzqWNzO60&feature=channel  


Video
NVIDIA in a Minute - GPU Technology Conference Day 2 Recap

http://www.youtube.com/watch?v=_vfi0S0Sa8Y&feature=channel  


Video
NVIDIA in a Minute - GPU Tech Conference Day 3 Recap

http://www.youtube.com/watch?v=HW2KHoNkQLc&feature=channel  



ASTROMAN Magazine – 2010.10.10

New NVIDIA Quadro Professional Graphics Solutions

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=820  


ASTROMAN Magazine – 2010.05.09

NVIDIA GPUs Provide Edge to 3D Animators Utilizing Autodesk Softimage 2011

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=716  


ASTROMAN Magazine – 2010.02.27

NVIDIA Names University Of Maryland A CUDA Center Of Excellence

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=671  


ASTROMAN Magazine – 2010.02.27

ADAM - Notion Ink Pixel Qi tablet with NVIDIA Tegra2 processor

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=670  


ASTROMAN Magazine – 2010.02.27

Next Generation NVIDIA Tegra

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=669 



ASTROMAN magazine


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