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published in(发表于) 2016/11/26 7:04:16
China into the world’s first Super computer, Japan Government seat,

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China into the world's first Super computer, Japan Government sit-IT information

According to Reuters, Japan plans to build the world's fastest supercomputer so as Japan manufacturers build a research platform, help them develop and improve driverless cars, robot and medical diagnostic services.

It is reported that the Japan METI will not previously reported project expenditures 19.5 billion yen (173 million dollars) to support scientific and technological research and development. Coming from Korea and China's competition, Japan has been losing ground in many electronics.

According to internal sources involved in the project, according to Japan Government's plans, Japan engineers will be the fastest in the next year begins developing a computer operations 1.3 billion times per second.

At this rate, Japan will lead the research and development of new computer in China Light Power Taihu (Sunway TaihuLight) computer. Kamui Taihu optical computer computation speed of 930 million.

Japan National Institute of advanced industrial science and Technology Director, Satoshi Sekiguchi said: "as far as we know, there is no operation is faster computer speed. ”

Japan Prime Minister Shinzo Abe calls for corporate, bureaucratic and political levels more closely, so that Japan can robots, batteries, renewable energy and other emerging areas to gain an advantage.

Advanced learning technology

In the area of Supercomputing, Japan's goal was to using super fast computing to speed up the artificial intelligence (AI) technologies--such as "deep learning (deep learning)" – research and development. "Deep learning" technology to simulate the human brain neural pathway that helps computers for data analysis and perform a new task.

In the field of AI, latest achievements in the world is Google AI DeepMind team development program AlphaGo. AlphaGo in March this year defeated World Chess Champion Li Shishi in the chess game.

Driverless car manufacturers can make use of AI technology to produce higher-performance driverless cars, because AI can help a driverless car traffic analysis visualization data. AI systems can also help to raise the level of automation of the factory.

At present, the Kamui of Taihu, China Light computer is used for weather forecasting, pharmaceutical research and industrial design, and other fields.

Sekiguchi said, Japan new supercomputer can help medical researchers tap medical records in order to develop new services and applications.

Sekiguchi and other personnel involved in the project said, Japan developed the new super computer, Japan will pay to have the computer service. At present, Japan data processing for many companies will outsource to foreign companies such as Google and Microsoft.

Japan's new super computer is named ABCI--"AI Bridging Cloud Infrastructure" abbreviation. It is reported that Japan tender for this project has already begun and will end on December 8.

Fujitsu is Japan Oakforest-PACS by far the fastest super computer manufacturer. Oakforest-PACS speed is 136 million. Fujitsu declined to say whether it will participate in the project bidding. But Fujitsu said the company is eager to participate in the development of supercomputers.

In November this year ranked the top ten supercomputers in the world rankings are as follows:

Light 1, Taihu, Sunway MPP,SW26010, national Supercomputing Center, Wuxi, China, 10.6 million core, 93.01pf (a quadrillion operations per second)

2, Tian He, second, TH-IVB-FEP Cluster, national Supercomputer Center, Guangzhou, China, 3.12 million core, 33.86pf

3, Titan, Cray XK7 system, United States of energy, Oak Ridge National Laboratory, 17.59pf

4, Sequoia, IBM BlueGene/Q system, United States Energy Department, Lawrence Livermore National Laboratory in California, the 1.57 million core, 16.32pf

5, Cori,Cray XC40, Berkeley Lab, United States national energy research scientific computing Center (NERSC), 14pf

6, Oakforest-PACs, Fujitsu Primergy CX1640 M1 cluster, Japan, Joint Center for advanced high-performance computing, 13.6pf

Computer,SPARC64 7, k systems, 705,000 core, Japan, Riken Advanced Computational Science Research Institute, 10.5pF

8, Piz Daint,Cray XC30,11.6 Xeon core and NVIDIA, Switzerland National Computing Centre, Switzerland, 9.8pf

9, Mira,IBM BlueGene/Q system, United States DOE/SC/Argonne National Laboratory, 786,000 core, 8.6pf

10, Trinity,Cray CX40, United States DOE/NNSA/LANL/SNL,30.1 core, 8.1pf


中国超级计算机成世界第一,日本政府坐不住了 - IT资讯

据路透社报道,日本计划建造世界上速度最快的超级计算机,以便为日本制造商建立一个研究平台,帮助它们开发和改进无人驾驶汽车、机器人和医疗诊断服务等。

据悉,日本经济产业省将对以前未报告的项目支出195亿日元(1.73亿美元),以支持科技研发。由于来自韩国和中国的竞争加剧,日本目前已经在许多电子领域中失去优势。

据参与该项目的内部人士透露,根据日本政府的计划,日本工程师最快将在明年开始研发一种能够每秒运算13亿亿次的计算机。

按照这个运算速度,日本研发的新计算机将领先于中国的神威太湖之光(Sunway TaihuLight)计算机。神威太湖之光计算机的运算速度为9.3亿亿次。

日本国家先进工业科学与技术研究所所长Satoshi Sekiguchi说:“据我们所知,目前还没有运算速度这样快的计算机。”

日本首相安倍晋三呼吁企业、官僚和政治阶层更紧密地合作,以便日本可以在机器人、电池、可再生能源和其他新兴领域获得优势。

深度学习技术

在超级计算机领域,日本的目标是使用超快速计算来加快人工智能(AI)技术——例如“深度学习(deep learning)”——的研发。“深度学习”技术可以模拟人类大脑的神经通路,帮助计算机进行数据分析并执行新任务。

在AI领域,全球最新的成果是谷歌DeepMind团队开发的AI程序AlphaGo。AlphaGo今年3月在围棋比赛中击败了世界围棋冠军李世石。

无人驾驶汽车制造商可以利用AI技术制造出更高性能的无人驾驶汽车,因为AI可以帮助无人驾驶汽车分析视觉化交通数据。AI系统也可以帮助工厂提高自动化水平。

目前,中国的神威太湖之光计算机被用于天气预报、制药研究和工业设计等领域。

Sekiguchi表示,日本新的超级计算机可以帮助医疗研究人员挖掘医疗记录,以开发新的服务和应用程序。

Sekiguchi和其他参与项目的人员称,日本新的超级计算机开发出来后,日本公司将通过付费方式获得该计算机的服务。目前,日本许多公司将数据处理外包给Google和Microsoft等外国公司。

日本的这一新超级计算机被命名为ABCI——“AI Bridging Cloud Infrastructure”的缩写。据悉,日本这一研发项目的招标已经开始,并将于12月8日结束。

富士通公司是日本迄今为止最快的超级计算机Oakforest-PACS的制造商。Oakforest-PACS的运算速度是1.36亿亿次。富士通拒绝透露是否会参与该项目投标。但富士通表示,该公司渴望参与超级计算机的开发。

今年11月评出的全球十大超级计算机排行榜如下:

1、太湖之光,Sunway MPP,SW26010,国家超级计算中心,中国无锡,1060万个核心,93.01pf(每秒千万亿次运算)

2、天河二号,TH-IVB-FEP Cluster,国家超级计算机中心,中国广州,312万个核心,33.86pf

3、泰坦,Cray XK7系统,美国能源部,橡树岭国家实验室,17.59pf

4、红杉,IBM BlueGene/Q系统,美国能源部,劳伦斯利弗莫尔国家实验室,加州,157万个核心,16.32pf

5、Cori,Cray XC40,伯克利实验室,美国国家能源研究科学计算中心(NERSC),14pf

6、Oakforest-PACs,富士通Primergy CX1640 M1 cluster,日本,先进高性能计算联合中心,13.6pf

7、K Computer,SPARC64系统,70.5万个核心,日本,Riken计算科学高级研究所,10.5pf

8、Piz Daint,Cray XC30,11.6万个Xeon和英伟达核心,瑞士国家计算中心,瑞士,9.8pf

9、Mira,IBM BlueGene/Q系统,美国DOE/SC/Argonne国家实验室,78.6万个核心,8.6pf

10、Trinity,Cray CX40,美国DOE/NNSA/LANL/SNL,30.1万个核心,8.1pf






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