Japan to build world's fastest and most efficient supercomputer

Technology - Pavan Pandey - Nov 30,2016

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japan to build worlds fastest and most efficient supercomputer

The Ministry of Economy, Trade and Industry of Japan could spend 19.5 billion yen ($173 m) on the project related to Artificial Intelligence Bridging Cloud infrastructure (AIBC).

Japan wants to build a super-efficient computer that could possibly be world’s fastest supercomputer in the upcoming years. The new Artificial Intelligence Bridging Cloud Infrastructure (AIBC) will run at over 130 quadrillion calculations/sec (petaflops in scientific term); this is far quicker than the current record holder supercomputer, the Chinese Sunway Taihulight.

The country has announced that, with this supercomputer Japan will provide the nation with a platform for research that could help in the development of driverless cars, medical diagnostics and robots.

According to the National Institute of Advanced Industrial Science and Technology (AIST) in Japan, this is a massive leap over Japan's current fastest supercomputer which runs at a mere 13.5 quadrillion calculations/sec. A director general at AIST (where the supercomputer will be built), Satoshi Sekiguchi, said at press meeting “as far as we know, there is nothing out there that is as fast.”

Japan is already one of the most technologically advanced nations in the world. Now, Japan is poised for making a comeback in peak supercomputer performance, after five years of falling behind the United States, China and South Korea. Building this new rapid supercomputer is part of a policy of Japanese government that aims to get back Japan's magical charm in the field of technology.

The announcement of AIBC originates after the Prime Minister of Japan, Mr. Shinzo Abe, has urged Japan's governmental and private sectors to work more closely together to put the nation at the forefront of new and growing technological advancements. Japan desires to use ultra-fast calculations to speed up growth in AI (artificial intelligence) as well as deep learning technology to help build computers for achieving new tasks and analyze numbers of data.